id	author	title	date	pages	extension	mime	words	sentences	flesch	summary	cache	txt
work_d2dvfrm6pngktajsnvoi5nawmm	Armin Hoenen	A Manual for Web Corpus Crawling of Low Resource Languages	2019	25	.pdf	application/pdf	11611	783	66	resource(d) languages (LRL) dal web introducendo strumenti e un corso gratuito di eLearning LRLs primarily as such languages for which the compilation of text corpora from the internet is usually (business secret) save only characteristic features of a web page with frequent words technical, why searching content of an LRL on the web may become difficult, the needle in the can also be used for the automatic compilation of corpora in all languages, naturally also LRLs. 1 n-grams are sequences of n characters or words which occur in sequence in texts, where n stands for a Before starting to query a search engine, one needs some terms from the target language. Generally, we found search engines to be richer in content for languages querying content in LRLs. We also analyzed the lexical overlap between the languages involved internet and considered ways to search, tools, web and language statistics, well-known linguistic	./cache/work_d2dvfrm6pngktajsnvoi5nawmm.pdf	./txt/work_d2dvfrm6pngktajsnvoi5nawmm.txt