Difference between revisions of "Corpora/Top"
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For English, the UiO team has assessed the following: | For English, the UiO team has assessed the following: | ||
| − | * GigaWords | + | * Reuters Corpus: custom license |
| − | * Wikipedia: | + | * NANC: LDC-licensed |
| − | * COW: | + | * GigaWords 5: LDC-licensed; newswire; |
| − | * Common Crawl: | + | * Wikipedia: Wikipedia Extractor (Wikipedia Corpus Builder on-going) |
| + | * COW: custom crawl; sentence-shuffled | ||
| + | * Common Crawl: 140 billion | ||
* NOW: | * NOW: | ||
So far, we have standardized on CoreNLP for corpus pre-processing, viz. sentence splitting, tokenization, part of speech tagging, and lemmatization. | So far, we have standardized on CoreNLP for corpus pre-processing, viz. sentence splitting, tokenization, part of speech tagging, and lemmatization. | ||
Each corpus is available in two forms: (a) ‘clean’ running text and (b) pre-processed into the CoNLL-like (tab-separated) output format of CoreNLP. | Each corpus is available in two forms: (a) ‘clean’ running text and (b) pre-processed into the CoNLL-like (tab-separated) output format of CoreNLP. | ||
Revision as of 23:04, 20 March 2017
Activity D: Very Large Corpora
For English, the UiO team has assessed the following:
* Reuters Corpus: custom license * NANC: LDC-licensed * GigaWords 5: LDC-licensed; newswire; * Wikipedia: Wikipedia Extractor (Wikipedia Corpus Builder on-going) * COW: custom crawl; sentence-shuffled * Common Crawl: 140 billion * NOW:
So far, we have standardized on CoreNLP for corpus pre-processing, viz. sentence splitting, tokenization, part of speech tagging, and lemmatization. Each corpus is available in two forms: (a) ‘clean’ running text and (b) pre-processed into the CoNLL-like (tab-separated) output format of CoreNLP.
