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10

EACL
2006
ACL Anthology

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Web Text Corpus for Natural Language Processing

13 years 5 months ago

Web Text Corpus for Natural Language Processing

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Web text has been successfully used as training data for many NLP applications. While most previous work accesses web text through search engine hit counts, we created a Web Corpus by downloading web pages to create a topic-diverse collection of 10 billion words of English. We show that for context-sensitive spelling correction the Web Corpus results are better than using a search engine. For thesaurus extraction, it achieved similar overall results to a corpus of newspaper text. With many more words available on the web, better results can be obtained by collecting much larger web corpora.

Vinci Liu, James R. Curran

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EACL 2006 | Natural Language Processing | Web Corpus | Web Text | Work Accesses Web |

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Added	30 Oct 2010
Updated	30 Oct 2010
Type	Conference
Year	2006
Where	EACL
Authors	Vinci Liu, James R. Curran

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