id	sid	tid	token	lemma	pos
10974	1	1	20190318	20190318	CD
10974	1	2	10974	10974	CD
10974	1	3	galley	galley	NN
10974	1	4	Public	Public	NNP
10974	1	5	Libraries	Libraries	NNP
10974	1	6	Leading	lead	VBG
10974	1	7	the	the	DT
10974	1	8	Way	way	NN
10974	1	9	The	the	DT
10974	1	10	Democratization	Democratization	NNP
10974	1	11	of	of	IN
10974	1	12	Artificial	Artificial	NNP
10974	1	13	Intelligence	Intelligence	NNP
10974	1	14	:	:	:
10974	1	15	One	one	CD
10974	1	16	Library	Library	NNP
10974	1	17	’s	’s	POS
10974	1	18	Approach	Approach	NNP
10974	1	19	Thomas	Thomas	NNP
10974	1	20	Finley	Finley	NNP
10974	1	21	INFORMATION	INFORMATION	VBD
10974	1	22	TECHNOLOGY	TECHNOLOGY	NNP
10974	1	23	AND	and	CC
10974	1	24	LIBRARIES	library	NNS
10974	1	25	|	|	NNP
10974	1	26	MARCH	MARCH	NNS
10974	1	27	2019	2019	CD
10974	1	28	8	8	CD
10974	1	29	Thomas	Thomas	NNP
10974	1	30	Finley	Finley	NNP
10974	1	31	(	(	-LRB-
10974	1	32	tfinley@friscotexas.gov	tfinley@friscotexas.gov	NN
10974	1	33	)	)	-RRB-
10974	1	34	is	be	VBZ
10974	1	35	Adult	Adult	NNP
10974	1	36	Services	Services	NNP
10974	1	37	Manager	Manager	NNP
10974	1	38	,	,	,
10974	1	39	Frisco	Frisco	NNP
10974	1	40	Public	Public	NNP
10974	1	41	Library	Library	NNP
10974	1	42	.	.	.
10974	2	1	Chances	chance	NNS
10974	2	2	are	be	VBP
10974	2	3	that	that	IN
10974	2	4	before	before	IN
10974	2	5	you	-PRON-	PRP
10974	2	6	read	read	VBP
10974	2	7	this	this	DT
10974	2	8	article	article	NN
10974	2	9	,	,	,
10974	2	10	you	-PRON-	PRP
10974	2	11	probably	probably	RB
10974	2	12	checked	check	VBD
10974	2	13	your	-PRON-	PRP$
10974	2	14	email	email	NN
10974	2	15	,	,	,
10974	2	16	used	use	VBD
10974	2	17	a	a	DT
10974	2	18	mapping	mapping	NN
10974	2	19	app	app	NN
10974	2	20	to	to	TO
10974	2	21	find	find	VB
10974	2	22	your	-PRON-	PRP$
10974	2	23	way	way	NN
10974	2	24	,	,	,
10974	2	25	or	or	CC
10974	2	26	typed	type	VBD
10974	2	27	a	a	DT
10974	2	28	search	search	NN
10974	2	29	term	term	NN
10974	2	30	online	online	RB
10974	2	31	.	.	.
10974	3	1	Without	without	IN
10974	3	2	your	-PRON-	PRP$
10974	3	3	even	even	RB
10974	3	4	perceiving	perceive	VBG
10974	3	5	it	-PRON-	PRP
10974	3	6	,	,	,
10974	3	7	artificial	artificial	JJ
10974	3	8	intelligence	intelligence	NN
10974	3	9	(	(	-LRB-
10974	3	10	AI	AI	NNP
10974	3	11	)	)	-RRB-
10974	3	12	has	have	VBZ
10974	3	13	already	already	RB
10974	3	14	helped	help	VBN
10974	3	15	you	-PRON-	PRP
10974	3	16	to	to	TO
10974	3	17	accomplish	accomplish	VB
10974	3	18	something	something	NN
10974	3	19	today	today	NN
10974	3	20	.	.	.
10974	4	1	Email	email	NN
10974	4	2	spam	spam	NN
10974	4	3	filters	filter	NNS
10974	4	4	use	use	VBP
10974	4	5	variants	variant	NNS
10974	4	6	of	of	IN
10974	4	7	AI	AI	NNP
10974	4	8	to	to	TO
10974	4	9	help	help	VB
10974	4	10	cut	cut	VB
10974	4	11	down	down	RP
10974	4	12	on	on	IN
10974	4	13	harmful	harmful	JJ
10974	4	14	or	or	CC
10974	4	15	useless	useless	JJ
10974	4	16	emails	email	NNS
10974	4	17	in	in	IN
10974	4	18	your	-PRON-	PRP$
10974	4	19	inbox.1	inbox.1	NNS
10974	4	20	With	with	IN
10974	4	21	AI	AI	NNP
10974	4	22	doing	do	VBG
10974	4	23	the	the	DT
10974	4	24	fact-	fact-	JJ
10974	4	25	crunching	crunching	NN
10974	4	26	,	,	,
10974	4	27	mapping	map	VBG
10974	4	28	apps	app	NNS
10974	4	29	quickly	quickly	RB
10974	4	30	preview	preview	VBP
10974	4	31	the	the	DT
10974	4	32	best	good	JJS
10974	4	33	route	route	NN
10974	4	34	based	base	VBN
10974	4	35	on	on	IN
10974	4	36	a	a	DT
10974	4	37	myriad	myriad	NN
10974	4	38	of	of	IN
10974	4	39	factors	factor	NNS
10974	4	40	.	.	.
10974	5	1	Search	search	NN
10974	5	2	engine	engine	NN
10974	5	3	companies	company	NNS
10974	5	4	like	like	IN
10974	5	5	Google	Google	NNP
10974	5	6	have	have	VBP
10974	5	7	been	be	VBN
10974	5	8	using	use	VBG
10974	5	9	AI	AI	NNP
10974	5	10	to	to	TO
10974	5	11	suggest	suggest	VB
10974	5	12	or	or	CC
10974	5	13	produce	produce	VB
10974	5	14	results	result	NNS
10974	5	15	faster	fast	RBR
10974	5	16	for	for	IN
10974	5	17	longer	long	RBR
10974	5	18	than	than	IN
10974	5	19	anyone	anyone	NN
10974	5	20	outside	outside	IN
10974	5	21	of	of	IN
10974	5	22	the	the	DT
10974	5	23	company	company	NN
10974	5	24	really	really	RB
10974	5	25	knew	know	VBD
10974	5	26	until	until	IN
10974	5	27	recently.2	recently.2	NNP
10974	5	28	According	accord	VBG
10974	5	29	to	to	IN
10974	5	30	a	a	DT
10974	5	31	recent	recent	JJ
10974	5	32	study	study	NN
10974	5	33	by	by	IN
10974	5	34	Northeastern	Northeastern	NNP
10974	5	35	University	University	NNP
10974	5	36	and	and	CC
10974	5	37	Gallup	Gallup	NNP
10974	5	38	,	,	,
10974	5	39	85	85	CD
10974	5	40	%	%	NN
10974	5	41	of	of	IN
10974	5	42	Americans	Americans	NNPS
10974	5	43	are	be	VBP
10974	5	44	already	already	RB
10974	5	45	using	use	VBG
10974	5	46	AI	AI	NNP
10974	5	47	products.3	products.3	CD
10974	5	48	The	the	DT
10974	5	49	true	true	JJ
10974	5	50	revelation	revelation	NN
10974	5	51	behind	behind	IN
10974	5	52	these	these	DT
10974	5	53	recent	recent	JJ
10974	5	54	technological	technological	JJ
10974	5	55	developments	development	NNS
10974	5	56	may	may	MD
10974	5	57	not	not	RB
10974	5	58	be	be	VB
10974	5	59	the	the	DT
10974	5	60	fact	fact	NN
10974	5	61	that	that	IN
10974	5	62	AI	AI	NNP
10974	5	63	is	be	VBZ
10974	5	64	already	already	RB
10974	5	65	embedded	embed	VBN
10974	5	66	into	into	IN
10974	5	67	the	the	DT
10974	5	68	fabric	fabric	NN
10974	5	69	of	of	IN
10974	5	70	our	-PRON-	PRP$
10974	5	71	modern	modern	JJ
10974	5	72	lives	life	NNS
10974	5	73	.	.	.
10974	6	1	The	the	DT
10974	6	2	real	real	JJ
10974	6	3	surprise	surprise	NN
10974	6	4	might	may	MD
10974	6	5	just	just	RB
10974	6	6	be	be	VB
10974	6	7	the	the	DT
10974	6	8	sudden	sudden	JJ
10974	6	9	ubiquitous	ubiquitous	JJ
10974	6	10	availability	availability	NN
10974	6	11	(	(	-LRB-
10974	6	12	and	and	CC
10974	6	13	approachability	approachability	NN
10974	6	14	)	)	-RRB-
10974	6	15	of	of	IN
10974	6	16	AI	AI	NNP
10974	6	17	tools	tool	NNS
10974	6	18	for	for	IN
10974	6	19	all	all	DT
10974	6	20	.	.	.
10974	7	1	As	as	IN
10974	7	2	Google	Google	NNP
10974	7	3	’s	’s	POS
10974	7	4	former	former	JJ
10974	7	5	Chief	Chief	NNP
10974	7	6	Scientist	Scientist	NNP
10974	7	7	of	of	IN
10974	7	8	AI	AI	NNP
10974	7	9	and	and	CC
10974	7	10	Machine	Machine	NNP
10974	7	11	Learning	Learning	NNP
10974	7	12	,	,	,
10974	7	13	Fei	Fei	NNP
10974	7	14	-	-	HYPH
10974	7	15	Fei	Fei	NNP
10974	7	16	Li	Li	NNP
10974	7	17	,	,	,
10974	7	18	said	say	VBD
10974	7	19	in	in	IN
10974	7	20	2017	2017	CD
10974	7	21	,	,	,
10974	7	22	“	"	``
10974	7	23	The	the	DT
10974	7	24	next	next	JJ
10974	7	25	step	step	NN
10974	7	26	for	for	IN
10974	7	27	AI	AI	NNP
10974	7	28	must	must	MD
10974	7	29	be	be	VB
10974	7	30	democratization	democratization	NN
10974	7	31	,	,	,
10974	7	32	lowering	lower	VBG
10974	7	33	the	the	DT
10974	7	34	barriers	barrier	NNS
10974	7	35	of	of	IN
10974	7	36	entry	entry	NN
10974	7	37	,	,	,
10974	7	38	and	and	CC
10974	7	39	making	make	VBG
10974	7	40	it	-PRON-	PRP
10974	7	41	available	available	JJ
10974	7	42	to	to	IN
10974	7	43	the	the	DT
10974	7	44	largest	large	JJS
10974	7	45	possible	possible	JJ
10974	7	46	community	community	NN
10974	7	47	of	of	IN
10974	7	48	developers	developer	NNS
10974	7	49	,	,	,
10974	7	50	users	user	NNS
10974	7	51	and	and	CC
10974	7	52	enterprises	enterprise	NNS
10974	7	53	.	.	.
10974	8	1	"	"	``
10974	8	2	4	4	CD
10974	8	3	This	this	DT
10974	8	4	sounds	sound	VBZ
10974	8	5	a	a	DT
10974	8	6	lot	lot	NN
10974	8	7	like	like	IN
10974	8	8	most	most	JJS
10974	8	9	public	public	JJ
10974	8	10	libraries	library	NNS
10974	8	11	’	’	POS
10974	8	12	mission	mission	NN
10974	8	13	statements	statement	NNS
10974	8	14	.	.	.
10974	9	1	As	as	IN
10974	9	2	with	with	IN
10974	9	3	other	other	JJ
10974	9	4	important	important	JJ
10974	9	5	workforce	workforce	NN
10974	9	6	development	development	NN
10974	9	7	efforts	effort	NNS
10974	9	8	,	,	,
10974	9	9	libraries	library	NNS
10974	9	10	are	be	VBP
10974	9	11	uniquely	uniquely	RB
10974	9	12	placed	place	VBN
10974	9	13	to	to	TO
10974	9	14	participate	participate	VB
10974	9	15	in	in	IN
10974	9	16	this	this	DT
10974	9	17	new	new	JJ
10974	9	18	revolution	revolution	NN
10974	9	19	as	as	IN
10974	9	20	key	key	JJ
10974	9	21	platforms	platform	NNS
10974	9	22	for	for	IN
10974	9	23	the	the	DT
10974	9	24	discovery	discovery	NN
10974	9	25	and	and	CC
10974	9	26	dissemination	dissemination	NN
10974	9	27	of	of	IN
10974	9	28	emerging	emerge	VBG
10974	9	29	tech	tech	NN
10974	9	30	knowledge	knowledge	NN
10974	9	31	.	.	.
10974	10	1	At	at	IN
10974	10	2	the	the	DT
10974	10	3	Frisco	Frisco	NNP
10974	10	4	Public	Public	NNP
10974	10	5	Library	Library	NNP
10974	10	6	(	(	-LRB-
10974	10	7	https://www.friscolibrary.com	https://www.friscolibrary.com	ADD
10974	10	8	)	)	-RRB-
10974	10	9	,	,	,
10974	10	10	we	-PRON-	PRP
10974	10	11	saw	see	VBD
10974	10	12	this	this	DT
10974	10	13	AI	AI	NNP
10974	10	14	trend	trend	NN
10974	10	15	surfacing	surface	VBG
10974	10	16	,	,	,
10974	10	17	we	-PRON-	PRP
10974	10	18	see	see	VBP
10974	10	19	AI	AI	NNP
10974	10	20	as	as	IN
10974	10	21	a	a	DT
10974	10	22	critical	critical	JJ
10974	10	23	future	future	JJ
10974	10	24	job	job	NN
10974	10	25	skill	skill	NN
10974	10	26	,	,	,
10974	10	27	and	and	CC
10974	10	28	we	-PRON-	PRP
10974	10	29	investigated	investigate	VBD
10974	10	30	ways	way	NNS
10974	10	31	to	to	TO
10974	10	32	introduce	introduce	VB
10974	10	33	our	-PRON-	PRP$
10974	10	34	patrons	patron	NNS
10974	10	35	into	into	IN
10974	10	36	this	this	DT
10974	10	37	space	space	NN
10974	10	38	.	.	.
10974	11	1	As	as	IN
10974	11	2	such	such	JJ
10974	11	3	,	,	,
10974	11	4	the	the	DT
10974	11	5	Frisco	Frisco	NNP
10974	11	6	Public	Public	NNP
10974	11	7	Library	Library	NNP
10974	11	8	has	have	VBZ
10974	11	9	leveraged	leverage	VBN
10974	11	10	readily	readily	RB
10974	11	11	available	available	JJ
10974	11	12	technology	technology	NN
10974	11	13	in	in	IN
10974	11	14	a	a	DT
10974	11	15	cost	cost	NN
10974	11	16	-	-	HYPH
10974	11	17	effective	effective	JJ
10974	11	18	way	way	NN
10974	11	19	that	that	WDT
10974	11	20	has	have	VBZ
10974	11	21	engaged	engage	VBN
10974	11	22	community	community	NN
10974	11	23	interest	interest	NN
10974	11	24	.	.	.
10974	12	1	Our	-PRON-	PRP$
10974	12	2	efforts	effort	NNS
10974	12	3	are	be	VBP
10974	12	4	also	also	RB
10974	12	5	replicable	replicable	JJ
10974	12	6	and	and	CC
10974	12	7	scalable	scalable	JJ
10974	12	8	in	in	IN
10974	12	9	terms	term	NNS
10974	12	10	of	of	IN
10974	12	11	multi	multi	JJ
10974	12	12	-	-	JJ
10974	12	13	nodal	nodal	JJ
10974	12	14	experiences	experience	NNS
10974	12	15	both	both	DT
10974	12	16	at	at	IN
10974	12	17	home	home	NN
10974	12	18	and	and	CC
10974	12	19	in	in	IN
10974	12	20	classroom-	classroom-	NNP
10974	12	21	based	base	VBN
10974	12	22	learning	learn	VBG
10974	12	23	.	.	.
10974	13	1	SOME	some	NN
10974	13	2	BASIC	basic	JJ
10974	13	3	DEFINITIONS	definition	NNS
10974	13	4	Let	let	VB
10974	13	5	’s	-PRON-	PRP
10974	13	6	take	take	VB
10974	13	7	a	a	DT
10974	13	8	few	few	JJ
10974	13	9	steps	step	NNS
10974	13	10	back	back	RB
10974	13	11	to	to	TO
10974	13	12	give	give	VB
10974	13	13	some	some	DT
10974	13	14	broad	broad	JJ
10974	13	15	definitions	definition	NNS
10974	13	16	and	and	CC
10974	13	17	boundaries	boundary	NNS
10974	13	18	to	to	IN
10974	13	19	the	the	DT
10974	13	20	scope	scope	NN
10974	13	21	of	of	IN
10974	13	22	AI	AI	NNP
10974	13	23	.	.	.
10974	14	1	According	accord	VBG
10974	14	2	to	to	IN
10974	14	3	the	the	DT
10974	14	4	Oxford	Oxford	NNP
10974	14	5	English	English	NNP
10974	14	6	Dictionary	Dictionary	NNP
10974	14	7	,	,	,
10974	14	8	artificial	artificial	JJ
10974	14	9	intelligence	intelligence	NN
10974	14	10	is	be	VBZ
10974	14	11	“	"	``
10974	14	12	the	the	DT
10974	14	13	capacity	capacity	NN
10974	14	14	of	of	IN
10974	14	15	computers	computer	NNS
10974	14	16	or	or	CC
10974	14	17	other	other	JJ
10974	14	18	machines	machine	NNS
10974	14	19	to	to	TO
10974	14	20	exhibit	exhibit	VB
10974	14	21	or	or	CC
10974	14	22	simulate	simulate	VB
10974	14	23	intelligent	intelligent	JJ
10974	14	24	behavior	behavior	NN
10974	14	25	.	.	.
10974	14	26	”5	”5	NNP
10974	14	27	In	in	IN
10974	14	28	the	the	DT
10974	14	29	literature	literature	NN
10974	14	30	,	,	,
10974	14	31	you	-PRON-	PRP
10974	14	32	will	will	MD
10974	14	33	find	find	VB
10974	14	34	a	a	DT
10974	14	35	further	further	JJ
10974	14	36	distinction	distinction	NN
10974	14	37	between	between	IN
10974	14	38	General	General	NNP
10974	14	39	AI	AI	NNP
10974	14	40	,	,	,
10974	14	41	Narrow	Narrow	NNP
10974	14	42	AI	AI	NNP
10974	14	43	,	,	,
10974	14	44	and	and	CC
10974	14	45	something	something	NN
10974	14	46	called	call	VBN
10974	14	47	Machine	Machine	NNP
10974	14	48	Learning.6	Learning.6	NNP
10974	14	49	General	General	NNP
10974	14	50	AI	AI	NNP
10974	14	51	is	be	VBZ
10974	14	52	something	something	NN
10974	14	53	that	that	WDT
10974	14	54	begins	begin	VBZ
10974	14	55	to	to	TO
10974	14	56	look	look	VB
10974	14	57	like	like	IN
10974	14	58	science	science	NN
10974	14	59	fiction	fiction	NN
10974	14	60	:	:	:
10974	14	61	an	an	DT
10974	14	62	artificial	artificial	JJ
10974	14	63	intelligence	intelligence	NN
10974	14	64	that	that	WDT
10974	14	65	learns	learn	VBZ
10974	14	66	how	how	WRB
10974	14	67	to	to	TO
10974	14	68	learn	learn	VB
10974	14	69	,	,	,
10974	14	70	then	then	RB
10974	14	71	is	be	VBZ
10974	14	72	able	able	JJ
10974	14	73	to	to	TO
10974	14	74	generalize	generalize	VB
10974	14	75	what	what	WP
10974	14	76	it	-PRON-	PRP
10974	14	77	has	have	VBZ
10974	14	78	learned	learn	VBN
10974	14	79	and	and	CC
10974	14	80	apply	apply	VB
10974	14	81	that	that	DT
10974	14	82	knowledge	knowledge	NN
10974	14	83	to	to	IN
10974	14	84	a	a	DT
10974	14	85	different	different	JJ
10974	14	86	case	case	NN
10974	14	87	.	.	.
10974	15	1	In	in	IN
10974	15	2	advanced	advanced	JJ
10974	15	3	examples	example	NNS
10974	15	4	of	of	IN
10974	15	5	General	General	NNP
10974	15	6	AI	AI	NNP
10974	15	7	,	,	,
10974	15	8	scientists	scientist	NNS
10974	15	9	are	be	VBP
10974	15	10	thinking	think	VBG
10974	15	11	of	of	IN
10974	15	12	not	not	RB
10974	15	13	putting	put	VBG
10974	15	14	a	a	DT
10974	15	15	specific	specific	JJ
10974	15	16	problem	problem	NN
10974	15	17	in	in	IN
10974	15	18	front	front	NN
10974	15	19	of	of	IN
10974	15	20	a	a	DT
10974	15	21	General	General	NNP
10974	15	22	AI	AI	NNP
10974	15	23	program	program	NN
10974	15	24	to	to	TO
10974	15	25	solve	solve	VB
10974	15	26	,	,	,
10974	15	27	rather	rather	RB
10974	15	28	,	,	,
10974	15	29	they	-PRON-	PRP
10974	15	30	are	be	VBP
10974	15	31	giving	give	VBG
10974	15	32	it	-PRON-	PRP
10974	15	33	an	an	DT
10974	15	34	entire	entire	JJ
10974	15	35	dataset	dataset	NN
10974	15	36	so	so	IN
10974	15	37	the	the	DT
10974	15	38	program	program	NN
10974	15	39	itself	-PRON-	PRP
10974	15	40	can	can	MD
10974	15	41	choose	choose	VB
10974	15	42	what	what	WP
10974	15	43	problems	problem	NNS
10974	15	44	it	-PRON-	PRP
10974	15	45	should	should	MD
10974	15	46	work	work	VB
10974	15	47	on	on	IN
10974	15	48	.	.	.
10974	16	1	Removing	remove	VBG
10974	16	2	the	the	DT
10974	16	3	limited	limited	JJ
10974	16	4	point	point	NN
10974	16	5	of	of	IN
10974	16	6	view	view	NN
10974	16	7	of	of	IN
10974	16	8	whoever	whoever	WP
10974	16	9	programs	program	VBZ
10974	16	10	the	the	DT
10974	16	11	program.7	program.7	NN
10974	16	12	Narrow	Narrow	NNP
10974	16	13	AI	AI	NNP
10974	16	14	is	be	VBZ
10974	16	15	easier	easy	JJR
10974	16	16	to	to	TO
10974	16	17	understand	understand	VB
10974	16	18	because	because	IN
10974	16	19	it	-PRON-	PRP
10974	16	20	is	be	VBZ
10974	16	21	what	what	WP
10974	16	22	we	-PRON-	PRP
10974	16	23	interact	interact	VBP
10974	16	24	with	with	IN
10974	16	25	the	the	DT
10974	16	26	most	most	JJS
10974	16	27	in	in	IN
10974	16	28	our	-PRON-	PRP$
10974	16	29	day	day	NN
10974	16	30	-	-	HYPH
10974	16	31	to	to	IN
10974	16	32	-	-	HYPH
10974	16	33	day	day	NN
10974	16	34	lives	life	NNS
10974	16	35	.	.	.
10974	17	1	It	-PRON-	PRP
10974	17	2	is	be	VBZ
10974	17	3	what	what	WP
10974	17	4	powers	power	NNS
10974	17	5	those	those	DT
10974	17	6	little	little	JJ
10974	17	7	speed	speed	NN
10974	17	8	ups	up	NNS
10974	17	9	that	that	WDT
10974	17	10	help	help	VBP
10974	17	11	us	-PRON-	PRP
10974	17	12	do	do	VB
10974	17	13	things	thing	NNS
10974	17	14	faster	fast	RBR
10974	17	15	every	every	DT
10974	17	16	day	day	NN
10974	17	17	:	:	:
10974	17	18	search	search	NN
10974	17	19	INFORMATION	information	NN
10974	17	20	TECHNOLOGY	TECHNOLOGY	NNP
10974	17	21	AND	and	CC
10974	17	22	LIBRARIES	library	NNS
10974	17	23	|	|	NNP
10974	17	24	MARCH	MARCH	NNS
10974	17	25	2019	2019	CD
10974	17	26	9	9	CD
10974	17	27	through	through	IN
10974	17	28	our	-PRON-	PRP$
10974	17	29	emails	email	NNS
10974	17	30	to	to	TO
10974	17	31	help	help	VB
10974	17	32	us	-PRON-	PRP
10974	17	33	avoid	avoid	VB
10974	17	34	spam	spam	NNP
10974	17	35	,	,	,
10974	17	36	translate	translate	NN
10974	17	37	speech	speech	NN
10974	17	38	to	to	TO
10974	17	39	text	text	NN
10974	17	40	when	when	WRB
10974	17	41	we	-PRON-	PRP
10974	17	42	dictate	dictate	VBP
10974	17	43	a	a	DT
10974	17	44	message	message	NN
10974	17	45	on	on	IN
10974	17	46	a	a	DT
10974	17	47	smartphone	smartphone	NN
10974	17	48	,	,	,
10974	17	49	or	or	CC
10974	17	50	helps	help	VBZ
10974	17	51	to	to	TO
10974	17	52	parallel	parallel	VB
10974	17	53	park	park	VB
10974	17	54	a	a	DT
10974	17	55	car	car	NN
10974	17	56	at	at	IN
10974	17	57	the	the	DT
10974	17	58	touch	touch	NN
10974	17	59	of	of	IN
10974	17	60	a	a	DT
10974	17	61	button	button	NN
10974	17	62	.	.	.
10974	18	1	Narrow	narrow	JJ
10974	18	2	AI	AI	NNP
10974	18	3	accomplishes	accomplish	VBZ
10974	18	4	a	a	DT
10974	18	5	specific	specific	JJ
10974	18	6	task	task	NN
10974	18	7	extremely	extremely	RB
10974	18	8	fast	fast	RB
10974	18	9	and	and	CC
10974	18	10	accurately	accurately	RB
10974	18	11	,	,	,
10974	18	12	and	and	CC
10974	18	13	thus	thus	RB
10974	18	14	,	,	,
10974	18	15	becomes	become	VBZ
10974	18	16	an	an	DT
10974	18	17	extension	extension	NN
10974	18	18	and	and	CC
10974	18	19	multiplier	multipli	JJR
10974	18	20	of	of	IN
10974	18	21	our	-PRON-	PRP$
10974	18	22	own	own	JJ
10974	18	23	human	human	JJ
10974	18	24	productivity	productivity	NN
10974	18	25	.	.	.
10974	19	1	A	a	DT
10974	19	2	lot	lot	NN
10974	19	3	of	of	IN
10974	19	4	these	these	DT
10974	19	5	Narrow	narrow	JJ
10974	19	6	AI	AI	NNP
10974	19	7	activities	activity	NNS
10974	19	8	are	be	VBP
10974	19	9	based	base	VBN
10974	19	10	in	in	IN
10974	19	11	a	a	DT
10974	19	12	type	type	NN
10974	19	13	of	of	IN
10974	19	14	Artificial	Artificial	NNP
10974	19	15	Intelligence	Intelligence	NNP
10974	19	16	called	call	VBN
10974	19	17	Machine	Machine	NNP
10974	19	18	Learning	Learning	NNP
10974	19	19	(	(	-LRB-
10974	19	20	ML	ML	NNP
10974	19	21	)	)	-RRB-
10974	19	22	.	.	.
10974	20	1	ML	ML	NNP
10974	20	2	is	be	VBZ
10974	20	3	a	a	DT
10974	20	4	set	set	NN
10974	20	5	of	of	IN
10974	20	6	very	very	RB
10974	20	7	complex	complex	JJ
10974	20	8	processes	process	NNS
10974	20	9	that	that	WDT
10974	20	10	can	can	MD
10974	20	11	review	review	VB
10974	20	12	large	large	JJ
10974	20	13	sets	set	NNS
10974	20	14	of	of	IN
10974	20	15	information	information	NN
10974	20	16	;	;	:
10974	20	17	create	create	VB
10974	20	18	and	and	CC
10974	20	19	train	train	VB
10974	20	20	models	model	NNS
10974	20	21	based	base	VBN
10974	20	22	on	on	IN
10974	20	23	this	this	DT
10974	20	24	data	data	NN
10974	20	25	;	;	:
10974	20	26	make	make	VB
10974	20	27	predictions	prediction	NNS
10974	20	28	of	of	IN
10974	20	29	what	what	WP
10974	20	30	will	will	MD
10974	20	31	happen	happen	VB
10974	20	32	next	next	RB
10974	20	33	;	;	:
10974	20	34	and	and	CC
10974	20	35	then	then	RB
10974	20	36	to	to	TO
10974	20	37	refine	refine	VB
10974	20	38	that	that	DT
10974	20	39	data	datum	NNS
10974	20	40	for	for	IN
10974	20	41	better	well	JJR
10974	20	42	future	future	NN
10974	20	43	results.8	results.8	NNP
10974	20	44	Machine	Machine	NNP
10974	20	45	Learning	Learning	NNP
10974	20	46	is	be	VBZ
10974	20	47	the	the	DT
10974	20	48	focus	focus	NN
10974	20	49	of	of	IN
10974	20	50	our	-PRON-	PRP$
10974	20	51	efforts	effort	NNS
10974	20	52	at	at	IN
10974	20	53	the	the	DT
10974	20	54	Frisco	Frisco	NNP
10974	20	55	Public	Public	NNP
10974	20	56	Library	Library	NNP
10974	20	57	due	due	IN
10974	20	58	to	to	IN
10974	20	59	two	two	CD
10974	20	60	main	main	JJ
10974	20	61	reasons	reason	NNS
10974	20	62	:	:	:
10974	20	63	1	1	LS
10974	20	64	)	)	-RRB-
10974	20	65	It	-PRON-	PRP
10974	20	66	is	be	VBZ
10974	20	67	what	what	WP
10974	20	68	has	have	VBZ
10974	20	69	been	be	VBN
10974	20	70	made	make	VBN
10974	20	71	available	available	JJ
10974	20	72	through	through	IN
10974	20	73	free	free	JJ
10974	20	74	tools	tool	NNS
10974	20	75	such	such	JJ
10974	20	76	as	as	IN
10974	20	77	Google	Google	NNP
10974	20	78	’s	’s	POS
10974	20	79	open	open	JJ
10974	20	80	AI	AI	NNP
10974	20	81	resources	resource	NNS
10974	20	82	;	;	:
10974	20	83	and	and	CC
10974	20	84	2	2	LS
10974	20	85	)	)	-RRB-
10974	20	86	It	-PRON-	PRP
10974	20	87	makes	make	VBZ
10974	20	88	AI	AI	NNP
10974	20	89	attainable	attainable	JJ
10974	20	90	in	in	IN
10974	20	91	a	a	DT
10974	20	92	library	library	NN
10974	20	93	setting	setting	NN
10974	20	94	.	.	.
10974	21	1	OUR	our	PRP$
10974	21	2	APPROACH	APPROACH	NNS
10974	21	3	:	:	:
10974	21	4	MAKERSPACES	makerspaces	NN
10974	21	5	FOR	for	IN
10974	21	6	EVERYONE	everyone	NN
10974	21	7	,	,	,
10974	21	8	AT	at	IN
10974	21	9	HOME	HOME	NNP
10974	21	10	The	the	DT
10974	21	11	Frisco	Frisco	NNP
10974	21	12	Public	Public	NNP
10974	21	13	Library	Library	NNP
10974	21	14	has	have	VBZ
10974	21	15	had	have	VBN
10974	21	16	4	4	CD
10974	21	17	years	year	NNS
10974	21	18	of	of	IN
10974	21	19	success	success	NN
10974	21	20	with	with	IN
10974	21	21	circulating	circulate	VBG
10974	21	22	Makerspace	Makerspace	NNP
10974	21	23	technology	technology	NN
10974	21	24	in	in	IN
10974	21	25	reasonably	reasonably	RB
10974	21	26	-	-	HYPH
10974	21	27	priced	price	VBN
10974	21	28	,	,	,
10974	21	29	hard	hard	JJ
10974	21	30	shell	shell	NN
10974	21	31	waterproof	waterproof	JJ
10974	21	32	boxes	box	NNS
10974	21	33	with	with	IN
10974	21	34	foam	foam	NN
10974	21	35	inserts	insert	NNS
10974	21	36	.	.	.
10974	22	1	Each	each	DT
10974	22	2	kit	kit	NN
10974	22	3	is	be	VBZ
10974	22	4	cataloged	catalog	VBN
10974	22	5	,	,	,
10974	22	6	RFID	RFID	NNP
10974	22	7	tagged	tag	VBN
10974	22	8	,	,	,
10974	22	9	security	security	NN
10974	22	10	tagged	tag	VBD
10974	22	11	,	,	,
10974	22	12	and	and	CC
10974	22	13	sealed	seal	VBN
10974	22	14	with	with	IN
10974	22	15	zip	zip	NN
10974	22	16	ties	tie	NNS
10974	22	17	to	to	TO
10974	22	18	enable	enable	VB
10974	22	19	self	self	NN
10974	22	20	-	-	HYPH
10974	22	21	checkouts	checkout	NNS
10974	22	22	(	(	-LRB-
10974	22	23	zip	zip	NN
10974	22	24	ties	tie	NNS
10974	22	25	can	can	MD
10974	22	26	be	be	VB
10974	22	27	easily	easily	RB
10974	22	28	cut	cut	VBN
10974	22	29	open	open	JJ
10974	22	30	at	at	IN
10974	22	31	home	home	NN
10974	22	32	,	,	,
10974	22	33	but	but	CC
10974	22	34	prevent	prevent	VB
10974	22	35	items	item	NNS
10974	22	36	from	from	IN
10974	22	37	disappearing	disappear	VBG
10974	22	38	in	in	IN
10974	22	39	the	the	DT
10974	22	40	library	library	NN
10974	22	41	)	)	-RRB-
10974	22	42	.	.	.
10974	23	1	These	these	DT
10974	23	2	cases	case	NNS
10974	23	3	are	be	VBP
10974	23	4	easy	easy	JJ
10974	23	5	to	to	TO
10974	23	6	handle	handle	VB
10974	23	7	and	and	CC
10974	23	8	can	can	MD
10974	23	9	take	take	VB
10974	23	10	some	some	DT
10974	23	11	abuse	abuse	NN
10974	23	12	while	while	IN
10974	23	13	protecting	protect	VBG
10974	23	14	their	-PRON-	PRP$
10974	23	15	contents	content	NNS
10974	23	16	.	.	.
10974	24	1	This	this	DT
10974	24	2	is	be	VBZ
10974	24	3	important	important	JJ
10974	24	4	because	because	IN
10974	24	5	we	-PRON-	PRP
10974	24	6	circulate	circulate	VBP
10974	24	7	about	about	RB
10974	24	8	20	20	CD
10974	24	9	different	different	JJ
10974	24	10	kinds	kind	NNS
10974	24	11	of	of	IN
10974	24	12	robotics	robotic	NNS
10974	24	13	kits	kit	NNS
10974	24	14	,	,	,
10974	24	15	no	no	DT
10974	24	16	-	-	HYPH
10974	24	17	soldering	solder	VBG
10974	24	18	circuitry	circuitry	NN
10974	24	19	kits	kit	NNS
10974	24	20	,	,	,
10974	24	21	3D	3d	JJ
10974	24	22	scanning	scanning	NN
10974	24	23	kits	kit	NNS
10974	24	24	,	,	,
10974	24	25	programing	program	VBG
10974	24	26	kits	kit	NNS
10974	24	27	,	,	,
10974	24	28	and	and	CC
10974	24	29	Internet	Internet	NNP
10974	24	30	of	of	IN
10974	24	31	Things	thing	NNS
10974	24	32	kits	kit	NNS
10974	24	33	.	.	.
10974	25	1	Most	Most	JJS
10974	25	2	kits	kit	NNS
10974	25	3	contain	contain	VBP
10974	25	4	the	the	DT
10974	25	5	theme	theme	NN
10974	25	6	item	item	NN
10974	25	7	with	with	IN
10974	25	8	quick	quick	JJ
10974	25	9	start	start	NN
10974	25	10	guides	guide	NNS
10974	25	11	,	,	,
10974	25	12	instruction	instruction	NN
10974	25	13	booklets	booklet	NNS
10974	25	14	,	,	,
10974	25	15	and	and	CC
10974	25	16	a	a	DT
10974	25	17	book	book	NN
10974	25	18	to	to	TO
10974	25	19	inspire	inspire	VB
10974	25	20	advanced	advanced	JJ
10974	25	21	learning	learning	NN
10974	25	22	.	.	.
10974	26	1	We	-PRON-	PRP
10974	26	2	call	call	VBP
10974	26	3	these	these	DT
10974	26	4	Maker	Maker	NNP
10974	26	5	Kits	Kits	NNPS
10974	26	6	,	,	,
10974	26	7	and	and	CC
10974	26	8	we	-PRON-	PRP
10974	26	9	have	have	VBP
10974	26	10	about	about	RB
10974	26	11	150	150	CD
10974	26	12	total	total	NN
10974	26	13	.	.	.
10974	27	1	In	in	IN
10974	27	2	our	-PRON-	PRP$
10974	27	3	community	community	NN
10974	27	4	,	,	,
10974	27	5	they	-PRON-	PRP
10974	27	6	are	be	VBP
10974	27	7	wildly	wildly	RB
10974	27	8	popular	popular	JJ
10974	27	9	and	and	CC
10974	27	10	have	have	VBP
10974	27	11	circulated	circulate	VBN
10974	27	12	more	more	JJR
10974	27	13	than	than	IN
10974	27	14	4,000	4,000	CD
10974	27	15	times	time	NNS
10974	27	16	since	since	IN
10974	27	17	their	-PRON-	PRP$
10974	27	18	introduction	introduction	NN
10974	27	19	in	in	IN
10974	27	20	January	January	NNP
10974	27	21	2016.9	2016.9	CD
10974	27	22	AIY	AIY	NNP
10974	27	23	:	:	:
10974	27	24	ARTIFICIAL	ARTIFICIAL	NNP
10974	27	25	INTELLIGENCE	INTELLIGENCE	NNP
10974	27	26	KITS	kits	VBP
10974	27	27	FOR	for	IN
10974	27	28	EVERYONE	everyone	NN
10974	27	29	In	in	IN
10974	27	30	2017	2017	CD
10974	27	31	,	,	,
10974	27	32	Google	Google	NNP
10974	27	33	released	release	VBD
10974	27	34	their	-PRON-	PRP$
10974	27	35	maker	maker	NN
10974	27	36	-	-	HYPH
10974	27	37	focused	focus	VBN
10974	27	38	AIY	AIY	NNP
10974	27	39	Voice	Voice	NNP
10974	27	40	project	project	NN
10974	27	41	kit	kit	NN
10974	27	42	(	(	-LRB-
10974	27	43	where	where	WRB
10974	27	44	AIY	AIY	NNP
10974	27	45	is	be	VBZ
10974	27	46	a	a	DT
10974	27	47	catchy	catchy	JJ
10974	27	48	substitute	substitute	NN
10974	27	49	for	for	IN
10974	27	50	Do	do	VB
10974	27	51	-	-	HYPH
10974	27	52	It	-PRON-	PRP
10974	27	53	-	-	HYPH
10974	27	54	Yourself	-PRON-	PRP
10974	27	55	with	with	IN
10974	27	56	Artificial	Artificial	NNP
10974	27	57	Intelligence	Intelligence	NNP
10974	27	58	Yourself	Yourself	NNP
10974	27	59	)	)	-RRB-
10974	27	60	.	.	.
10974	28	1	The	the	DT
10974	28	2	kit	kit	NN
10974	28	3	consists	consist	VBZ
10974	28	4	of	of	IN
10974	28	5	several	several	JJ
10974	28	6	components	component	NNS
10974	28	7	that	that	WDT
10974	28	8	pairs	pair	VBZ
10974	28	9	a	a	DT
10974	28	10	Raspberry	Raspberry	NNP
10974	28	11	Pi	Pi	NNP
10974	28	12	(	(	-LRB-
10974	28	13	entry	entry	NN
10974	28	14	-	-	HYPH
10974	28	15	level	level	NN
10974	28	16	computer	computer	NN
10974	28	17	)	)	-RRB-
10974	28	18	and	and	CC
10974	28	19	a	a	DT
10974	28	20	small	small	JJ
10974	28	21	speaker	speaker	NN
10974	28	22	that	that	WDT
10974	28	23	is	be	VBZ
10974	28	24	housed	house	VBN
10974	28	25	in	in	IN
10974	28	26	a	a	DT
10974	28	27	cardboard	cardboard	NN
10974	28	28	box	box	NN
10974	28	29	with	with	IN
10974	28	30	a	a	DT
10974	28	31	button	button	NN
10974	28	32	prominently	prominently	RB
10974	28	33	placed	place	VBN
10974	28	34	on	on	IN
10974	28	35	top.10	top.10	NNS
10974	28	36	The	the	DT
10974	28	37	result	result	NN
10974	28	38	is	be	VBZ
10974	28	39	a	a	DT
10974	28	40	stripped	strip	VBN
10974	28	41	-	-	HYPH
10974	28	42	down	down	RP
10974	28	43	version	version	NN
10974	28	44	of	of	IN
10974	28	45	an	an	DT
10974	28	46	Amazon	Amazon	NNP
10974	28	47	Echo	Echo	NNP
10974	28	48	or	or	CC
10974	28	49	Google	Google	NNP
10974	28	50	Home	Home	NNP
10974	28	51	device	device	NN
10974	28	52	—	—	:
10974	28	53	essentially	essentially	RB
10974	28	54	a	a	DT
10974	28	55	smart	smart	JJ
10974	28	56	speaker	speaker	NN
10974	28	57	.	.	.
10974	29	1	Although	although	IN
10974	29	2	the	the	DT
10974	29	3	AIY	AIY	NNP
10974	29	4	Voice	Voice	NNP
10974	29	5	kit	kit	NN
10974	29	6	is	be	VBZ
10974	29	7	not	not	RB
10974	29	8	necessarily	necessarily	RB
10974	29	9	initially	initially	RB
10974	29	10	set	set	VBN
10974	29	11	up	up	RP
10974	29	12	to	to	TO
10974	29	13	play	play	VB
10974	29	14	music	music	NN
10974	29	15	,	,	,
10974	29	16	it	-PRON-	PRP
10974	29	17	is	be	VBZ
10974	29	18	designed	design	VBN
10974	29	19	to	to	TO
10974	29	20	take	take	VB
10974	29	21	voice	voice	NN
10974	29	22	commands	command	NNS
10974	29	23	like	like	IN
10974	29	24	the	the	DT
10974	29	25	other	other	JJ
10974	29	26	products	product	NNS
10974	29	27	on	on	IN
10974	29	28	the	the	DT
10974	29	29	market	market	NN
10974	29	30	.	.	.
10974	30	1	With	with	IN
10974	30	2	a	a	DT
10974	30	3	minimum	minimum	NN
10974	30	4	of	of	IN
10974	30	5	Python	Python	NNP
10974	30	6	coding	code	VBG
10974	30	7	expertise	expertise	NN
10974	30	8	,	,	,
10974	30	9	AIY	AIY	NNP
10974	30	10	kits	kit	NNS
10974	30	11	enable	enable	VBP
10974	30	12	mass	mass	JJ
10974	30	13	participation	participation	NN
10974	30	14	in	in	IN
10974	30	15	Artificial	Artificial	NNP
10974	30	16	Intelligence	Intelligence	NNP
10974	30	17	.	.	.
10974	31	1	There	there	EX
10974	31	2	is	be	VBZ
10974	31	3	n’t	not	RB
10974	31	4	even	even	RB
10974	31	5	any	any	DT
10974	31	6	soldering	soldering	NN
10974	31	7	required	require	VBN
10974	31	8	to	to	TO
10974	31	9	put	put	VB
10974	31	10	this	this	DT
10974	31	11	kit	kit	NN
10974	31	12	together	together	RB
10974	31	13	!	!	.
10974	32	1	This	this	DT
10974	32	2	is	be	VBZ
10974	32	3	100	100	CD
10974	32	4	%	%	NN
10974	32	5	in	in	IN
10974	32	6	line	line	NN
10974	32	7	with	with	IN
10974	32	8	Fei	Fei	NNP
10974	32	9	-	-	HYPH
10974	32	10	Fei	Fei	NNP
10974	32	11	Li	Li	NNP
10974	32	12	’s	’s	,
10974	32	13	(	(	-LRB-
10974	32	14	Google	Google	NNP
10974	32	15	’s	’s	POS
10974	32	16	former	former	JJ
10974	32	17	Chief	Chief	NNP
10974	32	18	Scientist	Scientist	NNP
10974	32	19	for	for	IN
10974	32	20	AI	AI	NNP
10974	32	21	and	and	CC
10974	32	22	ML	ML	NNP
10974	32	23	)	)	-RRB-
10974	32	24	remarks	remark	VBZ
10974	32	25	about	about	IN
10974	32	26	the	the	DT
10974	32	27	need	need	NN
10974	32	28	to	to	TO
10974	32	29	democratize	democratize	VB
10974	32	30	AI	AI	NNP
10974	32	31	.	.	.
10974	33	1	Google	Google	NNP
10974	33	2	has	have	VBZ
10974	33	3	since	since	IN
10974	33	4	released	release	VBN
10974	33	5	another	another	DT
10974	33	6	kit	kit	NN
10974	33	7	called	call	VBN
10974	33	8	AIY	AIY	NNP
10974	33	9	Vision	Vision	NNP
10974	33	10	that	that	WDT
10974	33	11	uses	use	VBZ
10974	33	12	similar	similar	JJ
10974	33	13	components	component	NNS
10974	33	14	paired	pair	VBN
10974	33	15	with	with	IN
10974	33	16	a	a	DT
10974	33	17	camera	camera	NN
10974	33	18	.	.	.
10974	34	1	More	More	JJR
10974	34	2	information	information	NN
10974	34	3	on	on	IN
10974	34	4	the	the	DT
10974	34	5	kits	kit	NNS
10974	34	6	can	can	MD
10974	34	7	be	be	VB
10974	34	8	found	find	VBN
10974	34	9	at	at	IN
10974	34	10	https://aiyprojects.withgoogle.com/.	https://aiyprojects.withgoogle.com/.	ADD
10974	35	1	FRISCO	FRISCO	NNP
10974	35	2	PUBLIC	PUBLIC	NNP
10974	35	3	LIBRARY	library	NN
10974	35	4	’S	’s	POS
10974	35	5	ARTIFICIAL	ARTIFICIAL	NNP
10974	35	6	INTELLIGENCE	INTELLIGENCE	NNP
10974	35	7	MAKER	maker	NN
10974	35	8	KITS	KITS	NNP
10974	35	9	Based	base	VBN
10974	35	10	on	on	IN
10974	35	11	our	-PRON-	PRP$
10974	35	12	previous	previous	JJ
10974	35	13	experience	experience	NN
10974	35	14	with	with	IN
10974	35	15	other	other	JJ
10974	35	16	Maker	Maker	NNP
10974	35	17	Kits	Kits	NNPS
10974	35	18	,	,	,
10974	35	19	we	-PRON-	PRP
10974	35	20	made	make	VBD
10974	35	21	a	a	DT
10974	35	22	few	few	JJ
10974	35	23	modifications	modification	NNS
10974	35	24	to	to	IN
10974	35	25	the	the	DT
10974	35	26	original	original	JJ
10974	35	27	Google	Google	NNP
10974	35	28	design	design	NN
10974	35	29	that	that	IN
10974	35	30	most	most	JJS
10974	35	31	librarians	librarian	NNS
10974	35	32	with	with	IN
10974	35	33	access	access	NN
10974	35	34	to	to	IN
10974	35	35	a	a	DT
10974	35	36	3D	3d	JJ
10974	35	37	printer	printer	NN
10974	35	38	can	can	MD
10974	35	39	accomplish	accomplish	VB
10974	35	40	.	.	.
10974	36	1	The	the	DT
10974	36	2	original	original	JJ
10974	36	3	AIY	AIY	NNP
10974	36	4	Voice	Voice	NNP
10974	36	5	kit	kit	NN
10974	36	6	uses	use	VBZ
10974	36	7	a	a	DT
10974	36	8	punch	punch	VB
10974	36	9	-	-	HYPH
10974	36	10	out	out	RP
10974	36	11	cardboard	cardboard	NN
10974	36	12	box	box	NN
10974	36	13	to	to	TO
10974	36	14	fold	fold	VB
10974	36	15	and	and	CC
10974	36	16	envelop	envelop	VB
10974	36	17	the	the	DT
10974	36	18	device	device	NN
10974	36	19	.	.	.
10974	37	1	Apart	apart	RB
10974	37	2	from	from	IN
10974	37	3	being	be	VBG
10974	37	4	an	an	DT
10974	37	5	extremely	extremely	RB
10974	37	6	cost	cost	NN
10974	37	7	-	-	HYPH
10974	37	8	effective	effective	JJ
10974	37	9	way	way	NN
10974	37	10	of	of	IN
10974	37	11	making	make	VBG
10974	37	12	a	a	DT
10974	37	13	box	box	NN
10974	37	14	,	,	,
10974	37	15	it	-PRON-	PRP
10974	37	16	also	also	RB
10974	37	17	seems	seem	VBZ
10974	37	18	like	like	IN
10974	37	19	there	there	EX
10974	37	20	is	be	VBZ
10974	37	21	delicious	delicious	JJ
10974	37	22	irony	irony	NN
10974	37	23	(	(	-LRB-
10974	37	24	and	and	CC
10974	37	25	message	message	NN
10974	37	26	)	)	-RRB-
10974	37	27	in	in	IN
10974	37	28	the	the	DT
10974	37	29	contrasting	contrasting	NN
10974	37	30	of	of	IN
10974	37	31	cardboard	cardboard	NN
10974	37	32	-	-	:
10974	37	33	as	as	IN
10974	37	34	a	a	DT
10974	37	35	cheap	cheap	JJ
10974	37	36	,	,	,
10974	37	37	widely	widely	RB
10974	37	38	available	available	JJ
10974	37	39	material	material	NN
10974	37	40	-	-	,
10974	37	41	with	with	IN
10974	37	42	the	the	DT
10974	37	43	advanced	advanced	JJ
10974	37	44	tech	tech	NN
10974	37	45	of	of	IN
10974	37	46	AI	AI	NNP
10974	37	47	.	.	.
10974	38	1	Durability	durability	NN
10974	38	2	being	be	VBG
10974	38	3	our	-PRON-	PRP$
10974	38	4	priority	priority	NN
10974	38	5	,	,	,
10974	38	6	we	-PRON-	PRP
10974	38	7	knew	know	VBD
10974	38	8	we	-PRON-	PRP
10974	38	9	needed	need	VBD
10974	38	10	to	to	TO
10974	38	11	upgrade	upgrade	VB
10974	38	12	this	this	DT
10974	38	13	aspect	aspect	NN
10974	38	14	of	of	IN
10974	38	15	Google	Google	NNP
10974	38	16	’s	’s	POS
10974	38	17	original	original	JJ
10974	38	18	design	design	NN
10974	38	19	.	.	.
10974	39	1	Our	-PRON-	PRP$
10974	39	2	Maker	maker	NN
10974	39	3	Librarian	Librarian	NNP
10974	39	4	,	,	,
10974	39	5	Adam	Adam	NNP
10974	39	6	Lamprecht	Lamprecht	NNP
10974	39	7	,	,	,
10974	39	8	quickly	quickly	RB
10974	39	9	found	find	VBD
10974	39	10	a	a	DT
10974	39	11	shared	shared	JJ
10974	39	12	design	design	NN
10974	39	13	file	file	NN
10974	39	14	PUBLIC	public	JJ
10974	39	15	LIBRARIES	library	NNS
10974	39	16	LEADING	lead	VBG
10974	39	17	THE	the	DT
10974	39	18	WAY	way	NN
10974	39	19	:	:	:
10974	39	20	THE	the	DT
10974	39	21	DEMOCRATIZATION	DEMOCRATIZATION	NNPS
10974	39	22	OF	of	IN
10974	39	23	ARTIFICIAL	ARTIFICIAL	NNP
10974	39	24	INTELLIGENCE	INTELLIGENCE	NNP
10974	39	25	10	10	CD
10974	39	26	https://doi.org/10.6017/ital.v38i1.10974	https://doi.org/10.6017/ital.v38i1.10974	NN
10974	39	27	uploaded	upload	VBN
10974	39	28	to	to	IN
10974	39	29	the	the	DT
10974	39	30	website	website	NN
10974	39	31	,	,	,
10974	39	32	www.thingiverse.com	www.thingiverse.com	ADD
10974	39	33	,	,	,
10974	39	34	that	that	IN
10974	39	35	he	-PRON-	PRP
10974	39	36	modified	modify	VBD
10974	39	37	to	to	TO
10974	39	38	better	well	RBR
10974	39	39	suit	suit	VB
10974	39	40	our	-PRON-	PRP$
10974	39	41	needs	need	NNS
10974	39	42	(	(	-LRB-
10974	39	43	see	see	VB
10974	39	44	figure	figure	NN
10974	39	45	1).11	1).11	NNP
10974	39	46	Figure	figure	NN
10974	39	47	1	1	CD
10974	39	48	.	.	.
10974	40	1	AI	AI	NNP
10974	40	2	Maker	maker	NN
10974	40	3	Kits	Kits	NNP
10974	40	4	with	with	IN
10974	40	5	3D	3d	RB
10974	40	6	printed	print	VBN
10974	40	7	AIY	AIY	NNP
10974	40	8	Voice	Voice	NNP
10974	40	9	device	device	NN
10974	40	10	.	.	.
10974	41	1	We	-PRON-	PRP
10974	41	2	then	then	RB
10974	41	3	printed	print	VBD
10974	41	4	these	these	DT
10974	41	5	in	in	IN
10974	41	6	a	a	DT
10974	41	7	variety	variety	NN
10974	41	8	of	of	IN
10974	41	9	colors	color	NNS
10974	41	10	on	on	IN
10974	41	11	our	-PRON-	PRP$
10974	41	12	3D	3d	JJ
10974	41	13	printers	printer	NNS
10974	41	14	and	and	CC
10974	41	15	modified	modify	VBD
10974	41	16	the	the	DT
10974	41	17	grid	grid	NN
10974	41	18	-	-	HYPH
10974	41	19	patterned	patterned	JJ
10974	41	20	foam	foam	NN
10974	41	21	inserts	insert	NNS
10974	41	22	to	to	TO
10974	41	23	make	make	VB
10974	41	24	room	room	NN
10974	41	25	for	for	IN
10974	41	26	the	the	DT
10974	41	27	device	device	NN
10974	41	28	and	and	CC
10974	41	29	a	a	DT
10974	41	30	few	few	JJ
10974	41	31	other	other	JJ
10974	41	32	items	item	NNS
10974	41	33	(	(	-LRB-
10974	41	34	see	see	VB
10974	41	35	figure	figure	NN
10974	41	36	2	2	CD
10974	41	37	)	)	-RRB-
10974	41	38	.	.	.
10974	42	1	We	-PRON-	PRP
10974	42	2	are	be	VBP
10974	42	3	currently	currently	RB
10974	42	4	circulating	circulate	VBG
10974	42	5	21	21	CD
10974	42	6	of	of	IN
10974	42	7	these	these	DT
10974	42	8	kits	kit	NNS
10974	42	9	without	without	IN
10974	42	10	major	major	JJ
10974	42	11	incident	incident	NN
10974	42	12	.	.	.
10974	43	1	INFORMATION	INFORMATION	NNP
10974	43	2	TECHNOLOGY	technology	NN
10974	43	3	AND	and	CC
10974	43	4	LIBRARIES	library	NNS
10974	43	5	|	|	NNP
10974	43	6	MARCH	MARCH	NNS
10974	43	7	2019	2019	CD
10974	43	8	11	11	CD
10974	43	9	Figure	figure	NN
10974	43	10	2	2	CD
10974	43	11	.	.	.
10974	44	1	Interior	interior	JJ
10974	44	2	view	view	NN
10974	44	3	of	of	IN
10974	44	4	the	the	DT
10974	44	5	kits	kit	NNS
10974	44	6	.	.	.
10974	45	1	LIBRARY	library	NN
10974	45	2	INSTRUCTION	instruction	NN
10974	45	3	:	:	:
10974	45	4	PYTHON	PYTHON	NNS
10974	45	5	AS	as	IN
10974	45	6	A	a	DT
10974	45	7	WINDOW	window	NN
10974	45	8	ONTO	onto	NN
10974	45	9	ARTIFICIAL	artificial	NN
10974	45	10	INTELLIGENCE	intelligence	NN
10974	45	11	Our	-PRON-	PRP$
10974	45	12	basic	basic	JJ
10974	45	13	Artificial	Artificial	NNP
10974	45	14	Intelligence	Intelligence	NNP
10974	45	15	classes	class	NNS
10974	45	16	have	have	VBP
10974	45	17	been	be	VBN
10974	45	18	key	key	JJ
10974	45	19	in	in	IN
10974	45	20	the	the	DT
10974	45	21	introduction	introduction	NN
10974	45	22	of	of	IN
10974	45	23	this	this	DT
10974	45	24	technology	technology	NN
10974	45	25	to	to	IN
10974	45	26	the	the	DT
10974	45	27	public	public	NN
10974	45	28	.	.	.
10974	46	1	We	-PRON-	PRP
10974	46	2	reserve	reserve	VBP
10974	46	3	10	10	CD
10974	46	4	kits	kit	NNS
10974	46	5	for	for	IN
10974	46	6	a	a	DT
10974	46	7	class	class	NN
10974	46	8	and	and	CC
10974	46	9	pair	pair	VB
10974	46	10	them	-PRON-	PRP
10974	46	11	with	with	IN
10974	46	12	classroom	classroom	NN
10974	46	13	laptops	laptop	NNS
10974	46	14	for	for	IN
10974	46	15	ease	ease	NN
10974	46	16	of	of	IN
10974	46	17	use	use	NN
10974	46	18	.	.	.
10974	47	1	The	the	DT
10974	47	2	structure	structure	NN
10974	47	3	of	of	IN
10974	47	4	the	the	DT
10974	47	5	class	class	NN
10974	47	6	provides	provide	VBZ
10974	47	7	a	a	DT
10974	47	8	short	short	JJ
10974	47	9	introduction	introduction	NN
10974	47	10	to	to	IN
10974	47	11	the	the	DT
10974	47	12	technology	technology	NN
10974	47	13	and	and	CC
10974	47	14	then	then	RB
10974	47	15	walks	walk	VBZ
10974	47	16	participants	participant	NNS
10974	47	17	through	through	IN
10974	47	18	a	a	DT
10974	47	19	basic	basic	JJ
10974	47	20	voice	voice	NN
10974	47	21	recognition	recognition	NN
10974	47	22	coding	coding	NN
10974	47	23	challenge	challenge	NN
10974	47	24	.	.	.
10974	48	1	All	all	DT
10974	48	2	of	of	IN
10974	48	3	this	this	DT
10974	48	4	is	be	VBZ
10974	48	5	accomplished	accomplish	VBN
10974	48	6	in	in	IN
10974	48	7	Python	Python	NNP
10974	48	8	.	.	.
10974	49	1	Python	Python	NNP
10974	49	2	is	be	VBZ
10974	49	3	great	great	JJ
10974	49	4	for	for	IN
10974	49	5	beginning	begin	VBG
10974	49	6	coders	coder	NNS
10974	49	7	because	because	IN
10974	49	8	it	-PRON-	PRP
10974	49	9	is	be	VBZ
10974	49	10	easier	easy	JJR
10974	49	11	to	to	TO
10974	49	12	learn	learn	VB
10974	49	13	than	than	IN
10974	49	14	other	other	JJ
10974	49	15	programming	programming	NN
10974	49	16	languages	language	NNS
10974	49	17	,	,	,
10974	49	18	takes	take	VBZ
10974	49	19	less	less	JJR
10974	49	20	time	time	NN
10974	49	21	to	to	TO
10974	49	22	write	write	VB
10974	49	23	lines	line	NNS
10974	49	24	of	of	IN
10974	49	25	code	code	NN
10974	49	26	,	,	,
10974	49	27	and	and	CC
10974	49	28	it	-PRON-	PRP
10974	49	29	can	can	MD
10974	49	30	telescope	telescope	VB
10974	49	31	up	up	RP
10974	49	32	into	into	IN
10974	49	33	a	a	DT
10974	49	34	very	very	RB
10974	49	35	large	large	JJ
10974	49	36	number	number	NN
10974	49	37	of	of	IN
10974	49	38	projects	project	NNS
10974	49	39	and	and	CC
10974	49	40	applications.12	applications.12	NNP
10974	49	41	In	in	IN
10974	49	42	fact	fact	NN
10974	49	43	,	,	,
10974	49	44	according	accord	VBG
10974	49	45	to	to	IN
10974	49	46	Neal	Neal	NNP
10974	49	47	Ford	Ford	NNP
10974	49	48	,	,	,
10974	49	49	Director	Director	NNP
10974	49	50	and	and	CC
10974	49	51	Software	Software	NNP
10974	49	52	Architect	Architect	NNP
10974	49	53	at	at	IN
10974	49	54	Thoughtworks	Thoughtworks	NNP
10974	49	55	,	,	,
10974	49	56	Python	Python	NNP
10974	49	57	,	,	,
10974	49	58	“	"	``
10974	49	59	is	be	VBZ
10974	49	60	very	very	RB
10974	49	61	good	good	JJ
10974	49	62	at	at	IN
10974	49	63	solving	solve	VBG
10974	49	64	bigger	big	JJR
10974	49	65	kinds	kind	NNS
10974	49	66	of	of	IN
10974	49	67	problems	problem	NNS
10974	49	68	.	.	.
10974	49	69	”13	”13	NNP
10974	49	70	So	so	RB
10974	49	71	with	with	IN
10974	49	72	Python	Python	NNP
10974	49	73	,	,	,
10974	49	74	a	a	DT
10974	49	75	beginning	begin	VBG
10974	49	76	learner	learner	NN
10974	49	77	has	have	VBZ
10974	49	78	a	a	DT
10974	49	79	programming	programming	NN
10974	49	80	language	language	NN
10974	49	81	that	that	WDT
10974	49	82	continues	continue	VBZ
10974	49	83	to	to	TO
10974	49	84	be	be	VB
10974	49	85	useful	useful	JJ
10974	49	86	beyond	beyond	IN
10974	49	87	the	the	DT
10974	49	88	classroom	classroom	NN
10974	49	89	and	and	CC
10974	49	90	into	into	IN
10974	49	91	the	the	DT
10974	49	92	world	world	NN
10974	49	93	of	of	IN
10974	49	94	work	work	NN
10974	49	95	or	or	CC
10974	49	96	school	school	NN
10974	49	97	.	.	.
10974	50	1	Python	Python	NNP
10974	50	2	provides	provide	VBZ
10974	50	3	another	another	DT
10974	50	4	important	important	JJ
10974	50	5	advantage	advantage	NN
10974	50	6	:	:	:
10974	50	7	“	"	``
10974	50	8	Python	Python	NNP
10974	50	9	provides	provide	VBZ
10974	50	10	the	the	DT
10974	50	11	front	front	JJ
10974	50	12	-	-	HYPH
10974	50	13	end	end	NN
10974	50	14	method	method	NN
10974	50	15	of	of	IN
10974	50	16	how	how	WRB
10974	50	17	to	to	TO
10974	50	18	hook	hook	VB
10974	50	19	into	into	IN
10974	50	20	Google	Google	NNP
10974	50	21	’s	’s	POS
10974	50	22	open	open	JJ
10974	50	23	AI	ai	NN
10974	50	24	,	,	,
10974	50	25	”	"	''
10974	50	26	states	state	VBZ
10974	50	27	tech	tech	NN
10974	50	28	writer	writer	NN
10974	50	29	Sardar	Sardar	NNP
10974	50	30	Yegulalp.14	yegulalp.14	FW
10974	50	31	It	-PRON-	PRP
10974	50	32	is	be	VBZ
10974	50	33	this	this	DT
10974	50	34	combination	combination	NN
10974	50	35	of	of	IN
10974	50	36	a	a	DT
10974	50	37	free	free	JJ
10974	50	38	,	,	,
10974	50	39	accessible	accessible	JJ
10974	50	40	coding	code	VBG
10974	50	41	language	language	NN
10974	50	42	with	with	IN
10974	50	43	the	the	DT
10974	50	44	powerful	powerful	JJ
10974	50	45	(	(	-LRB-
10974	50	46	and	and	CC
10974	50	47	also	also	RB
10974	50	48	free	free	JJ
10974	50	49	)	)	-RRB-
10974	50	50	resources	resource	NNS
10974	50	51	of	of	IN
10974	50	52	Google	Google	NNP
10974	50	53	’s	’s	POS
10974	50	54	open	open	JJ
10974	50	55	AI	ai	NN
10974	50	56	that	that	WDT
10974	50	57	truly	truly	RB
10974	50	58	lowers	lower	VBZ
10974	50	59	the	the	DT
10974	50	60	barrier	barrier	NN
10974	50	61	to	to	IN
10974	50	62	entry	entry	NN
10974	50	63	for	for	IN
10974	50	64	anyone	anyone	NN
10974	50	65	interested	interested	JJ
10974	50	66	in	in	IN
10974	50	67	a	a	DT
10974	50	68	hands	hand	NNS
10974	50	69	-	-	HYPH
10974	50	70	on	on	RP
10974	50	71	experience	experience	NN
10974	50	72	with	with	IN
10974	50	73	Artificial	Artificial	NNP
10974	50	74	Intelligence	Intelligence	NNP
10974	50	75	.	.	.
10974	51	1	PUBLIC	PUBLIC	NNP
10974	51	2	LIBRARIES	library	NNS
10974	51	3	LEADING	lead	VBG
10974	51	4	THE	the	DT
10974	51	5	WAY	way	NN
10974	51	6	:	:	:
10974	51	7	THE	the	DT
10974	51	8	DEMOCRATIZATION	DEMOCRATIZATION	NNPS
10974	51	9	OF	of	IN
10974	51	10	ARTIFICIAL	ARTIFICIAL	NNP
10974	51	11	INTELLIGENCE	INTELLIGENCE	NNP
10974	51	12	12	12	CD
10974	51	13	https://doi.org/10.6017/ital.v38i1.10974	https://doi.org/10.6017/ital.v38i1.10974	NN
10974	51	14	LESSONS	lesson	VBN
10974	51	15	LEARNED	learned	NN
10974	51	16	The	the	DT
10974	51	17	AI	ai	NN
10974	51	18	Maker	Maker	NNP
10974	51	19	Kits	kit	NNS
10974	51	20	are	be	VBP
10974	51	21	,	,	,
10974	51	22	by	by	IN
10974	51	23	far	far	RB
10974	51	24	,	,	,
10974	51	25	our	-PRON-	PRP$
10974	51	26	most	most	RBS
10974	51	27	complicated	complicated	JJ
10974	51	28	circulating	circulate	VBG
10974	51	29	kits	kit	NNS
10974	51	30	.	.	.
10974	52	1	We	-PRON-	PRP
10974	52	2	are	be	VBP
10974	52	3	hearing	hear	VBG
10974	52	4	back	back	RP
10974	52	5	from	from	IN
10974	52	6	patrons	patron	NNS
10974	52	7	that	that	IN
10974	52	8	the	the	DT
10974	52	9	kits	kit	NNS
10974	52	10	are	be	VBP
10974	52	11	right	right	JJ
10974	52	12	on	on	IN
10974	52	13	the	the	DT
10974	52	14	mark	mark	NN
10974	52	15	.	.	.
10974	53	1	Our	-PRON-	PRP$
10974	53	2	users	user	NNS
10974	53	3	get	get	VBP
10974	53	4	it	-PRON-	PRP
10974	53	5	,	,	,
10974	53	6	they	-PRON-	PRP
10974	53	7	see	see	VBP
10974	53	8	the	the	DT
10974	53	9	power	power	NN
10974	53	10	in	in	IN
10974	53	11	getting	get	VBG
10974	53	12	access	access	NN
10974	53	13	to	to	IN
10974	53	14	these	these	DT
10974	53	15	AI	AI	NNP
10974	53	16	tools	tool	NNS
10974	53	17	(	(	-LRB-
10974	53	18	utilizing	utilize	VBG
10974	53	19	Python	Python	NNP
10974	53	20	)	)	-RRB-
10974	53	21	and	and	CC
10974	53	22	by	by	IN
10974	53	23	all	all	DT
10974	53	24	accounts	account	NNS
10974	53	25	thus	thus	RB
10974	53	26	far	far	RB
10974	53	27	,	,	,
10974	53	28	are	be	VBP
10974	53	29	happy	happy	JJ
10974	53	30	with	with	IN
10974	53	31	their	-PRON-	PRP$
10974	53	32	results	result	NNS
10974	53	33	.	.	.
10974	54	1	There	there	EX
10974	54	2	has	have	VBZ
10974	54	3	been	be	VBN
10974	54	4	a	a	DT
10974	54	5	perception	perception	NN
10974	54	6	gap	gap	NN
10974	54	7	between	between	IN
10974	54	8	library	library	NN
10974	54	9	staff	staff	NN
10974	54	10	,	,	,
10974	54	11	however	however	RB
10974	54	12	,	,	,
10974	54	13	and	and	CC
10974	54	14	what	what	WP
10974	54	15	an	an	DT
10974	54	16	AI	AI	NNP
10974	54	17	kit	kit	NN
10974	54	18	can	can	MD
10974	54	19	reasonably	reasonably	RB
10974	54	20	accomplish	accomplish	VB
10974	54	21	.	.	.
10974	55	1	Adam	Adam	NNP
10974	55	2	Lamprecht	Lamprecht	NNP
10974	55	3	reports	report	VBZ
10974	55	4	,	,	,
10974	55	5	“	"	``
10974	55	6	Staff	staff	NN
10974	55	7	members	member	NNS
10974	55	8	had	have	VBD
10974	55	9	the	the	DT
10974	55	10	expectation	expectation	NN
10974	55	11	that	that	IN
10974	55	12	perhaps	perhaps	RB
10974	55	13	with	with	IN
10974	55	14	this	this	DT
10974	55	15	kit	kit	NN
10974	55	16	,	,	,
10974	55	17	a	a	DT
10974	55	18	rookie	rookie	NN
10974	55	19	coder	coder	NN
10974	55	20	was	be	VBD
10974	55	21	going	go	VBG
10974	55	22	to	to	TO
10974	55	23	be	be	VB
10974	55	24	able	able	JJ
10974	55	25	to	to	TO
10974	55	26	jump	jump	VB
10974	55	27	directly	directly	RB
10974	55	28	into	into	IN
10974	55	29	developing	develop	VBG
10974	55	30	Deep	Deep	NNP
10974	55	31	Learning	Learning	NNP
10974	55	32	neural	neural	JJ
10974	55	33	networks	network	NNS
10974	55	34	(	(	-LRB-
10974	55	35	a	a	DT
10974	55	36	very	very	RB
10974	55	37	advanced	advanced	JJ
10974	55	38	subset	subset	NN
10974	55	39	of	of	IN
10974	55	40	artificial	artificial	JJ
10974	55	41	intelligence	intelligence	NN
10974	55	42	)	)	-RRB-
10974	55	43	and	and	CC
10974	55	44	so	so	RB
10974	55	45	we	-PRON-	PRP
10974	55	46	definitely	definitely	RB
10974	55	47	benefited	benefit	VBD
10974	55	48	from	from	IN
10974	55	49	ongoing	ongoing	JJ
10974	55	50	discussions	discussion	NNS
10974	55	51	of	of	IN
10974	55	52	those	those	DT
10974	55	53	broad	broad	JJ
10974	55	54	AI	AI	NNP
10974	55	55	terms	term	NNS
10974	55	56	and	and	CC
10974	55	57	expectations	expectation	NNS
10974	55	58	.	.	.
10974	55	59	”15	”15	UH
10974	55	60	Google	Google	NNP
10974	55	61	’s	’s	POS
10974	55	62	AIY	AIY	NNP
10974	55	63	Voice	Voice	NNP
10974	55	64	is	be	VBZ
10974	55	65	a	a	DT
10974	55	66	good	good	JJ
10974	55	67	start	start	NN
10974	55	68	but	but	CC
10974	55	69	there	there	EX
10974	55	70	is	be	VBZ
10974	55	71	lots	lot	NNS
10974	55	72	of	of	IN
10974	55	73	room	room	NN
10974	55	74	to	to	TO
10974	55	75	grow	grow	VB
10974	55	76	AI	AI	NNP
10974	55	77	classes	class	NNS
10974	55	78	for	for	IN
10974	55	79	more	more	JJR
10974	55	80	depth	depth	NN
10974	55	81	.	.	.
10974	56	1	AIY	AIY	NNP
10974	56	2	Vision	Vision	NNP
10974	56	3	is	be	VBZ
10974	56	4	the	the	DT
10974	56	5	next	next	JJ
10974	56	6	logical	logical	JJ
10974	56	7	step	step	NN
10974	56	8	that	that	WDT
10974	56	9	would	would	MD
10974	56	10	allow	allow	VB
10974	56	11	us	-PRON-	PRP
10974	56	12	to	to	TO
10974	56	13	enter	enter	VB
10974	56	14	into	into	IN
10974	56	15	the	the	DT
10974	56	16	world	world	NN
10974	56	17	of	of	IN
10974	56	18	basic	basic	JJ
10974	56	19	image	image	NN
10974	56	20	recognition	recognition	NN
10974	56	21	.	.	.
10974	57	1	Our	-PRON-	PRP$
10974	57	2	approach	approach	NN
10974	57	3	does	do	VBZ
10974	57	4	rely	rely	VB
10974	57	5	on	on	IN
10974	57	6	one	one	CD
10974	57	7	company	company	NN
10974	57	8	’s	’s	POS
10974	57	9	platform	platform	NN
10974	57	10	,	,	,
10974	57	11	but	but	CC
10974	57	12	there	there	EX
10974	57	13	are	be	VBP
10974	57	14	more	more	JJR
10974	57	15	platforms	platform	NNS
10974	57	16	to	to	TO
10974	57	17	explore	explore	VB
10974	57	18	AI	AI	NNP
10974	57	19	now	now	RB
10974	57	20	.	.	.
10974	58	1	One	one	CD
10974	58	2	of	of	IN
10974	58	3	which	which	WDT
10974	58	4	is	be	VBZ
10974	58	5	Amazon	Amazon	NNP
10974	58	6	’s	’s	POS
10974	58	7	offerings	offering	NNS
10974	58	8	of	of	IN
10974	58	9	Machine	Machine	NNP
10974	58	10	Learning	Learning	NNP
10974	58	11	on	on	IN
10974	58	12	AWS	AWS	NNP
10974	58	13	(	(	-LRB-
10974	58	14	Amazon	Amazon	NNP
10974	58	15	Web	Web	NNP
10974	58	16	Services	Services	NNPS
10974	58	17	)	)	-RRB-
10974	58	18	.	.	.
10974	59	1	These	these	DT
10974	59	2	services	service	NNS
10974	59	3	have	have	VBP
10974	59	4	recently	recently	RB
10974	59	5	been	be	VBN
10974	59	6	opened	open	VBN
10974	59	7	up	up	RP
10974	59	8	for	for	IN
10974	59	9	a	a	DT
10974	59	10	wider	wide	JJR
10974	59	11	audience	audience	NN
10974	59	12	and	and	CC
10974	59	13	Amazon	Amazon	NNP
10974	59	14	is	be	VBZ
10974	59	15	now	now	RB
10974	59	16	offering	offer	VBG
10974	59	17	everyone	everyone	NN
10974	59	18	the	the	DT
10974	59	19	same	same	JJ
10974	59	20	online	online	JJ
10974	59	21	courses	course	NNS
10974	59	22	they	-PRON-	PRP
10974	59	23	use	use	VBP
10974	59	24	to	to	TO
10974	59	25	train	train	VB
10974	59	26	their	-PRON-	PRP$
10974	59	27	own	own	JJ
10974	59	28	engineers.16	engineers.16	NNP
10974	59	29	The	the	DT
10974	59	30	AWS	AWS	NNP
10974	59	31	ML	ML	NNP
10974	59	32	resources	resource	NNS
10974	59	33	are	be	VBP
10974	59	34	currently	currently	RB
10974	59	35	behind	behind	IN
10974	59	36	paywalls	paywall	NNS
10974	59	37	but	but	CC
10974	59	38	access	access	NN
10974	59	39	to	to	IN
10974	59	40	the	the	DT
10974	59	41	training	training	NN
10974	59	42	alone	alone	RB
10974	59	43	could	could	MD
10974	59	44	be	be	VB
10974	59	45	powerful	powerful	JJ
10974	59	46	for	for	IN
10974	59	47	the	the	DT
10974	59	48	right	right	JJ
10974	59	49	learner	learner	NN
10974	59	50	.	.	.
10974	60	1	There	there	EX
10974	60	2	are	be	VBP
10974	60	3	even	even	RB
10974	60	4	interesting	interesting	JJ
10974	60	5	developments	development	NNS
10974	60	6	for	for	IN
10974	60	7	younger	young	JJR
10974	60	8	learners	learner	NNS
10974	60	9	in	in	IN
10974	60	10	AI	AI	NNP
10974	60	11	with	with	IN
10974	60	12	robotics	robotic	NNS
10974	60	13	.	.	.
10974	61	1	Anki	Anki	NNP
10974	61	2	(	(	-LRB-
10974	61	3	www.anki.com	www.anki.com	ADD
10974	61	4	)	)	-RRB-
10974	61	5	is	be	VBZ
10974	61	6	a	a	DT
10974	61	7	consumer	consumer	NN
10974	61	8	robotics	robotic	NNS
10974	61	9	company	company	NN
10974	61	10	that	that	WDT
10974	61	11	uses	use	VBZ
10974	61	12	AI	AI	NNP
10974	61	13	to	to	TO
10974	61	14	enliven	enliven	VB
10974	61	15	its	-PRON-	PRP$
10974	61	16	products	product	NNS
10974	61	17	.	.	.
10974	62	1	They	-PRON-	PRP
10974	62	2	released	release	VBD
10974	62	3	Vector	Vector	NNP
10974	62	4	in	in	IN
10974	62	5	2018	2018	CD
10974	62	6	:	:	:
10974	62	7	a	a	DT
10974	62	8	seemingly	seemingly	RB
10974	62	9	simple	simple	JJ
10974	62	10	toy	toy	NN
10974	62	11	that	that	WDT
10974	62	12	responds	respond	VBZ
10974	62	13	to	to	IN
10974	62	14	its	-PRON-	PRP$
10974	62	15	environment	environment	NN
10974	62	16	and	and	CC
10974	62	17	simple	simple	JJ
10974	62	18	commands	command	NNS
10974	62	19	with	with	IN
10974	62	20	the	the	DT
10974	62	21	aid	aid	NN
10974	62	22	of	of	IN
10974	62	23	AI	AI	NNP
10974	62	24	.	.	.
10974	63	1	With	with	IN
10974	63	2	the	the	DT
10974	63	3	release	release	NN
10974	63	4	of	of	IN
10974	63	5	their	-PRON-	PRP$
10974	63	6	Software	Software	NNP
10974	63	7	Development	Development	NNP
10974	63	8	Kit	Kit	NNP
10974	63	9	the	the	DT
10974	63	10	company	company	NN
10974	63	11	is	be	VBZ
10974	63	12	allowing	allow	VBG
10974	63	13	others	other	NNS
10974	63	14	under	under	IN
10974	63	15	the	the	DT
10974	63	16	hood	hood	NN
10974	63	17	of	of	IN
10974	63	18	their	-PRON-	PRP$
10974	63	19	robots	robot	NNS
10974	63	20	-	-	:
10974	63	21	which	which	WDT
10974	63	22	potentially	potentially	RB
10974	63	23	means	mean	VBZ
10974	63	24	an	an	DT
10974	63	25	entry	entry	NN
10974	63	26	-	-	HYPH
10974	63	27	point	point	NN
10974	63	28	for	for	IN
10974	63	29	autonomous	autonomous	JJ
10974	63	30	(	(	-LRB-
10974	63	31	or	or	CC
10974	63	32	semi	semi	JJ
10974	63	33	-	-	JJ
10974	63	34	autonomous	autonomous	JJ
10974	63	35	)	)	-RRB-
10974	63	36	robotic	robotic	JJ
10974	63	37	vehicle	vehicle	NN
10974	63	38	technology	technology	NN
10974	63	39	powered	power	VBN
10974	63	40	by	by	IN
10974	63	41	AI	AI	NNP
10974	63	42	.	.	.
10974	64	1	What	what	WP
10974	64	2	is	be	VBZ
10974	64	3	clear	clear	JJ
10974	64	4	is	be	VBZ
10974	64	5	that	that	IN
10974	64	6	the	the	DT
10974	64	7	world	world	NN
10974	64	8	of	of	IN
10974	64	9	AI	AI	NNP
10974	64	10	is	be	VBZ
10974	64	11	already	already	RB
10974	64	12	upon	upon	IN
10974	64	13	us	-PRON-	PRP
10974	64	14	.	.	.
10974	65	1	Public	public	JJ
10974	65	2	Libraries	library	NNS
10974	65	3	are	be	VBP
10974	65	4	well	well	RB
10974	65	5	positioned	positioned	JJ
10974	65	6	to	to	TO
10974	65	7	help	help	VB
10974	65	8	meet	meet	VB
10974	65	9	the	the	DT
10974	65	10	challenge	challenge	NN
10974	65	11	of	of	IN
10974	65	12	developing	develop	VBG
10974	65	13	the	the	DT
10974	65	14	workforce	workforce	NN
10974	65	15	of	of	IN
10974	65	16	the	the	DT
10974	65	17	near-	near-	NN
10974	65	18	and	and	CC
10974	65	19	far	far	JJ
10974	65	20	future	future	NN
10974	65	21	with	with	IN
10974	65	22	AI	AI	NNP
10974	65	23	classes	class	NNS
10974	65	24	being	be	VBG
10974	65	25	a	a	DT
10974	65	26	vital	vital	JJ
10974	65	27	tool	tool	NN
10974	65	28	.	.	.
10974	66	1	The	the	DT
10974	66	2	doorway	doorway	NN
10974	66	3	to	to	IN
10974	66	4	artificial	artificial	JJ
10974	66	5	intelligence	intelligence	NN
10974	66	6	is	be	VBZ
10974	66	7	now	now	RB
10974	66	8	open	open	JJ
10974	66	9	,	,	,
10974	66	10	the	the	DT
10974	66	11	only	only	JJ
10974	66	12	question	question	NN
10974	66	13	that	that	WDT
10974	66	14	remains	remain	VBZ
10974	66	15	is	be	VBZ
10974	66	16	this	this	DT
10974	66	17	:	:	:
10974	66	18	Do	do	VBP
10974	66	19	you	-PRON-	PRP
10974	66	20	step	step	VB
10974	66	21	through	through	IN
10974	66	22	it	-PRON-	PRP
10974	66	23	?	?	.
10974	67	1	REFERENCES	reference	NNS
10974	67	2	1	1	CD
10974	67	3	Cade	Cade	NNP
10974	67	4	Metz	Metz	NNP
10974	67	5	,	,	,
10974	67	6	“	"	``
10974	67	7	Google	Google	NNP
10974	67	8	Says	say	VBZ
10974	67	9	Its	-PRON-	PRP$
10974	67	10	AI	AI	NNP
10974	67	11	Catches	Catches	NNP
10974	67	12	99.9	99.9	CD
10974	67	13	Percent	Percent	NNP
10974	67	14	of	of	IN
10974	67	15	Gmail	Gmail	NNP
10974	67	16	Spam	Spam	NNP
10974	67	17	,	,	,
10974	67	18	”	"	''
10974	67	19	WIRED	WIRED	NNP
10974	67	20	.	.	.
10974	68	1	July	July	NNP
10974	68	2	9	9	CD
10974	68	3	,	,	,
10974	68	4	2015	2015	CD
10974	68	5	,	,	,
10974	68	6	https://www.wired.com/2015/07/google-says-ai-catches-99-9-percent-gmail-spam/.	https://www.wired.com/2015/07/google-says-ai-catches-99-9-percent-gmail-spam/.	NNP
10974	69	1	2	2	CD
10974	69	2	Jack	Jack	NNP
10974	69	3	Clark	Clark	NNP
10974	69	4	,	,	,
10974	69	5	“	"	``
10974	69	6	Google	Google	NNP
10974	69	7	Turning	turn	VBG
10974	69	8	its	-PRON-	PRP$
10974	69	9	Lucrative	Lucrative	NNP
10974	69	10	Web	web	NN
10974	69	11	Search	Search	NNP
10974	69	12	Over	over	RP
10974	69	13	to	to	IN
10974	69	14	AI	AI	NNP
10974	69	15	Machines	Machines	NNPS
10974	69	16	,	,	,
10974	69	17	”	"	''
10974	69	18	Bloomberg	Bloomberg	NNP
10974	69	19	Business	Business	NNP
10974	69	20	,	,	,
10974	69	21	October	October	NNP
10974	69	22	26	26	CD
10974	69	23	,	,	,
10974	69	24	2015	2015	CD
10974	69	25	,	,	,
10974	69	26	https://www.bloomberg.com/news/articles/2015-10-26/google-turning-	https://www.bloomberg.com/news/articles/2015-10-26/google-turning-	NNP
10974	69	27	its	-PRON-	PRP$
10974	69	28	-	-	HYPH
10974	69	29	lucrative	lucrative	JJ
10974	69	30	-	-	HYPH
10974	69	31	web	web	NN
10974	69	32	-	-	HYPH
10974	69	33	search	search	NN
10974	69	34	-	-	HYPH
10974	69	35	over	over	IN
10974	69	36	-	-	HYPH
10974	69	37	to	to	IN
10974	69	38	-	-	HYPH
10974	69	39	ai	ai	NN
10974	69	40	-	-	HYPH
10974	69	41	machines	machine	NNS
10974	69	42	.	.	.
10974	70	1	3	3	CD
10974	70	2	RJ	RJ	NNP
10974	70	3	Reinhart	Reinhart	NNP
10974	70	4	,	,	,
10974	70	5	“	"	``
10974	70	6	Most	Most	JJS
10974	70	7	Americans	Americans	NNPS
10974	70	8	Already	already	RB
10974	70	9	Using	use	VBG
10974	70	10	Artificial	Artificial	NNP
10974	70	11	Intelligence	Intelligence	NNP
10974	70	12	Products	Products	NNPS
10974	70	13	,	,	,
10974	70	14	”	"	''
10974	70	15	Gallup	Gallup	NNP
10974	70	16	,	,	,
10974	70	17	March	March	NNP
10974	70	18	6	6	CD
10974	70	19	,	,	,
10974	70	20	2018	2018	CD
10974	70	21	,	,	,
10974	70	22	https://news.gallup.com/poll/228497/americans-already-using-artificial-intelligence-	https://news.gallup.com/poll/228497/americans-already-using-artificial-intelligence-	NNP
10974	70	23	products.aspx	products.aspx	JJ
10974	70	24	.	.	.
10974	71	1	4	4	CD
10974	71	2	Scot	Scot	NNP
10974	71	3	Petersen	Petersen	NNP
10974	71	4	,	,	,
10974	71	5	“	"	``
10974	71	6	Google	Google	NNP
10974	71	7	Joins	Joins	NNP
10974	71	8	Chorus	Chorus	NNP
10974	71	9	of	of	IN
10974	71	10	Cloud	Cloud	NNP
10974	71	11	Companies	Companies	NNPS
10974	71	12	Promising	promise	VBG
10974	71	13	to	to	TO
10974	71	14	Democratize	democratize	VB
10974	71	15	AI	AI	NNP
10974	71	16	,	,	,
10974	71	17	”	"	''
10974	71	18	EWeek	EWeek	NNP
10974	71	19	,	,	,
10974	71	20	March	March	NNP
10974	71	21	10	10	CD
10974	71	22	,	,	,
10974	71	23	2017	2017	CD
10974	71	24	,	,	,
10974	71	25	EbscoHost	EbscoHost	NNP
10974	71	26	Academic	Academic	NNP
10974	71	27	Search	Search	NNP
10974	71	28	Complete	Complete	NNP
10974	71	29	.	.	.
10974	72	1	INFORMATION	INFORMATION	NNP
10974	72	2	TECHNOLOGY	technology	NN
10974	72	3	AND	and	CC
10974	72	4	LIBRARIES	library	NNS
10974	72	5	|	|	NNP
10974	72	6	MARCH	MARCH	NNP
10974	72	7	2019	2019	CD
10974	72	8	13	13	CD
10974	72	9	5	5	CD
10974	72	10	“	"	``
10974	72	11	Artificial	Artificial	NNP
10974	72	12	Intelligence	Intelligence	NNP
10974	72	13	,	,	,
10974	72	14	n	n	NNP
10974	72	15	,	,	,
10974	72	16	”	"	''
10974	72	17	OED	OED	NNP
10974	72	18	Online	Online	NNP
10974	72	19	,	,	,
10974	72	20	December	December	NNP
10974	72	21	2018	2018	CD
10974	72	22	,	,	,
10974	72	23	Oxford	Oxford	NNP
10974	72	24	University	University	NNP
10974	72	25	,	,	,
10974	72	26	accessed	access	VBD
10974	72	27	March	March	NNP
10974	72	28	1	1	CD
10974	72	29	,	,	,
10974	72	30	2019	2019	CD
10974	72	31	.	.	.
10974	73	1	6	6	CD
10974	73	2	Bernard	Bernard	NNP
10974	73	3	Marr	Marr	NNP
10974	73	4	,	,	,
10974	73	5	“	"	``
10974	73	6	What	what	WP
10974	73	7	Is	be	VBZ
10974	73	8	The	the	DT
10974	73	9	Difference	Difference	NNP
10974	73	10	Between	between	IN
10974	73	11	Artificial	Artificial	NNP
10974	73	12	Intelligence	Intelligence	NNP
10974	73	13	and	and	CC
10974	73	14	Machine	Machine	NNP
10974	73	15	Learning	Learning	NNP
10974	73	16	?	?	.
10974	73	17	,	,	,
10974	73	18	”	"	''
10974	73	19	Forbes	Forbes	NNP
10974	73	20	,	,	,
10974	73	21	December	December	NNP
10974	73	22	6	6	CD
10974	73	23	,	,	,
10974	73	24	2016	2016	CD
10974	73	25	,	,	,
10974	73	26	https://www.forbes.com/sites/bernardmarr/2016/12/06/what-	https://www.forbes.com/sites/bernardmarr/2016/12/06/what-	NNP
10974	73	27	is	be	VBZ
10974	73	28	-	-	HYPH
10974	73	29	the	the	DT
10974	73	30	-	-	HYPH
10974	73	31	difference	difference	NN
10974	73	32	-	-	HYPH
10974	73	33	between	between	IN
10974	73	34	-	-	HYPH
10974	73	35	artificial	artificial	NN
10974	73	36	-	-	HYPH
10974	73	37	intelligence	intelligence	NN
10974	73	38	-	-	HYPH
10974	73	39	and	and	CC
10974	73	40	-	-	HYPH
10974	73	41	machine	machine	NN
10974	73	42	-	-	HYPH
10974	73	43	learning/#6d40eeec2742	learning/#6d40eeec2742	NN
10974	73	44	.	.	.
10974	74	1	7	7	CD
10974	74	2	Lex	Lex	NNP
10974	74	3	Fridman	fridman	NN
10974	74	4	,	,	,
10974	74	5	“	"	``
10974	74	6	Juergen	Juergen	NNP
10974	74	7	Schmidhuber	Schmidhuber	NNP
10974	74	8	:	:	:
10974	74	9	Godel	Godel	NNP
10974	74	10	Machines	Machines	NNPS
10974	74	11	,	,	,
10974	74	12	Meta	Meta	NNP
10974	74	13	-	-	HYPH
10974	74	14	Learning	Learning	NNP
10974	74	15	,	,	,
10974	74	16	and	and	CC
10974	74	17	LSTMs	LSTMs	NNP
10974	74	18	,	,	,
10974	74	19	”	"	''
10974	74	20	MIT	MIT	NNP
10974	74	21	AI	AI	NNP
10974	74	22	Podcast	Podcast	NNP
10974	74	23	,	,	,
10974	74	24	December	December	NNP
10974	74	25	22	22	CD
10974	74	26	,	,	,
10974	74	27	2018	2018	CD
10974	74	28	.	.	.
10974	75	1	8	8	CD
10974	75	2	Serdar	Serdar	NNP
10974	75	3	Yegulalp	Yegulalp	NNP
10974	75	4	,	,	,
10974	75	5	“	"	``
10974	75	6	What	what	WP
10974	75	7	Is	be	VBZ
10974	75	8	Tensorflow	Tensorflow	NNP
10974	75	9	?	?	.
10974	76	1	The	the	DT
10974	76	2	Machine	Machine	NNP
10974	76	3	Learning	Learning	NNP
10974	76	4	Library	Library	NNP
10974	76	5	Explained	explain	VBD
10974	76	6	,	,	,
10974	76	7	”	"	''
10974	76	8	Infoworld	Infoworld	NNP
10974	76	9	.	.	.
10974	77	1	June	June	NNP
10974	77	2	6	6	CD
10974	77	3	,	,	,
10974	77	4	2018	2018	CD
10974	77	5	,	,	,
10974	77	6	https://www.infoworld.com/article/3278008/tensorflow/what-is-tensorflow-the-	https://www.infoworld.com/article/3278008/tensorflow/what-is-tensorflow-the-	NNP
10974	77	7	machine-learning-library-explained.html	machine-learning-library-explained.html	ADD
10974	77	8	.	.	.
10974	78	1	9	9	CD
10974	78	2	Frisco	Frisco	NNP
10974	78	3	Public	Public	NNP
10974	78	4	Library	Library	NNP
10974	78	5	,	,	,
10974	78	6	2019	2019	CD
10974	78	7	“	"	``
10974	78	8	Unpublished	Unpublished	NNP
10974	78	9	Maker	Maker	NNP
10974	78	10	Kit	Kit	NNP
10974	78	11	Statistics	Statistics	NNP
10974	78	12	2016	2016	CD
10974	78	13	-	-	SYM
10974	78	14	2019	2019	CD
10974	78	15	.	.	.
10974	78	16	”	"	''
10974	78	17	10	10	CD
10974	78	18	“	"	``
10974	78	19	AIY	AIY	NNP
10974	78	20	Projects	Projects	NNPS
10974	78	21	:	:	:
10974	78	22	Voice	voice	NN
10974	78	23	Kit	kit	NN
10974	78	24	,	,	,
10974	78	25	”	"	''
10974	78	26	Google	Google	NNP
10974	78	27	,	,	,
10974	78	28	accessed	access	VBD
10974	78	29	December	December	NNP
10974	78	30	15	15	CD
10974	78	31	,	,	,
10974	78	32	2018	2018	CD
10974	78	33	,	,	,
10974	78	34	https://aiyprojects.withgoogle.com/voice/.	https://aiyprojects.withgoogle.com/voice/.	NNP
10974	79	1	11	11	CD
10974	79	2	Adam	Adam	NNP
10974	79	3	Lamprecht	Lamprecht	NNP
10974	79	4	,	,	,
10974	79	5	“	"	``
10974	79	6	Google	Google	NNP
10974	79	7	AIY	AIY	NNP
10974	79	8	Voice	Voice	NNP
10974	79	9	Box	Box	NNP
10974	79	10	,	,	,
10974	79	11	”	"	''
10974	79	12	Thingiverse	Thingiverse	NNP
10974	79	13	,	,	,
10974	79	14	accessed	access	VBD
10974	79	15	February	February	NNP
10974	79	16	14	14	CD
10974	79	17	,	,	,
10974	79	18	2019	2019	CD
10974	79	19	,	,	,
10974	79	20	https://www.thingiverse.com/thing:3247685	https://www.thingiverse.com/thing:3247685	NNP
10974	79	21	.	.	.
10974	80	1	12	12	CD
10974	80	2	Elena	Elena	NNP
10974	80	3	Ruchko	Ruchko	NNP
10974	80	4	,	,	,
10974	80	5	“	"	``
10974	80	6	Why	why	WRB
10974	80	7	Learn	learn	VB
10974	80	8	Python	Python	NNP
10974	80	9	?	?	.
10974	81	1	Here	here	RB
10974	81	2	are	be	VBP
10974	81	3	8	8	CD
10974	81	4	Data	Data	NNPS
10974	81	5	-	-	HYPH
10974	81	6	Driven	Driven	NNP
10974	81	7	Reasons	Reasons	NNP
10974	81	8	,	,	,
10974	81	9	”	"	''
10974	81	10	Dbader.org	Dbader.org	NNP
10974	81	11	,	,	,
10974	81	12	accessed	access	VBD
10974	81	13	February	February	NNP
10974	81	14	14	14	CD
10974	81	15	,	,	,
10974	81	16	2019	2019	CD
10974	81	17	,	,	,
10974	81	18	https://dbader.org/blog/why-learn-python	https://dbader.org/blog/why-learn-python	NNP
10974	81	19	.	.	.
10974	82	1	13	13	CD
10974	82	2	Christina	Christina	NNP
10974	82	3	Cardoza	Cardoza	NNP
10974	82	4	,	,	,
10974	82	5	“	"	``
10974	82	6	The	the	DT
10974	82	7	Python	Python	NNP
10974	82	8	Programming	Programming	NNP
10974	82	9	Language	Language	NNP
10974	82	10	Grows	grow	VBZ
10974	82	11	in	in	IN
10974	82	12	Popularity	popularity	NN
10974	82	13	,	,	,
10974	82	14	”	"	''
10974	82	15	SD	SD	NNP
10974	82	16	Times	Times	NNP
10974	82	17	,	,	,
10974	82	18	June	June	NNP
10974	82	19	15	15	CD
10974	82	20	,	,	,
10974	82	21	2017	2017	CD
10974	82	22	,	,	,
10974	82	23	https://sdtimes.com/artificial-intelligence/python-programming-language-grows-	https://sdtimes.com/artificial-intelligence/python-programming-language-grows-	,
10974	82	24	popularity/.	popularity/.	NNP
10974	83	1	14	14	CD
10974	83	2	Yegulalp	Yegulalp	NNP
10974	83	3	,	,	,
10974	83	4	“	"	``
10974	83	5	What	what	WP
10974	83	6	Is	be	VBZ
10974	83	7	Tensorflow	Tensorflow	NNP
10974	83	8	?	?	.
10974	84	1	The	the	DT
10974	84	2	Machine	Machine	NNP
10974	84	3	Learning	Learning	NNP
10974	84	4	Library	Library	NNP
10974	84	5	Explained	explain	VBD
10974	84	6	.	.	.
10974	84	7	”	"	''
10974	84	8	15	15	CD
10974	84	9	Adam	Adam	NNP
10974	84	10	Lamprecht	Lamprecht	NNP
10974	84	11	,	,	,
10974	84	12	Email	Email	NNP
10974	84	13	message	message	NN
10974	84	14	to	to	IN
10974	84	15	the	the	DT
10974	84	16	author	author	NN
10974	84	17	,	,	,
10974	84	18	February	February	NNP
10974	84	19	15	15	CD
10974	84	20	,	,	,
10974	84	21	2019	2019	CD
10974	84	22	.	.	.
10974	85	1	16	16	CD
10974	85	2	Locklear	Locklear	NNP
10974	85	3	Mallory	Mallory	NNP
10974	85	4	,	,	,
10974	85	5	“	"	``
10974	85	6	Amazon	Amazon	NNP
10974	85	7	Opens	open	VBZ
10974	85	8	Up	up	RP
10974	85	9	its	-PRON-	PRP$
10974	85	10	Internal	Internal	NNP
10974	85	11	Machine	Machine	NNP
10974	85	12	Learning	Learning	NNP
10974	85	13	Training	training	NN
10974	85	14	to	to	IN
10974	85	15	Everyone	everyone	NN
10974	85	16	,	,	,
10974	85	17	”	"	''
10974	85	18	Engadget	Engadget	NNP
10974	85	19	,	,	,
10974	85	20	November	November	NNP
10974	85	21	26	26	CD
10974	85	22	,	,	,
10974	85	23	2018	2018	CD
10974	85	24	,	,	,
10974	85	25	https://www.engadget.com/2018/11/26/amazon-opens-	https://www.engadget.com/2018/11/26/amazon-opens-	JJ
10974	85	26	internal	internal	JJ
10974	85	27	-	-	HYPH
10974	85	28	machine	machine	NN
10974	85	29	-	-	HYPH
10974	85	30	learning	learning	NN
10974	85	31	-	-	HYPH
10974	85	32	training/.	training/.	NNS