Datasets:
Modalities:
Text
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Sub-tasks:
semantic-similarity-classification
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1M - 10M
Tags:
paraphrase-generation
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File size: 201,351 Bytes
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Tatoeba is a\ncrowdsourcing project mainly geared towards language learners. Its aim is to provide example sentences and translations for particular\nlinguistic constructions and words. The paraphrase corpus is created by populating a graph with Tatoeba sentences and equivalence links\nbetween sentences \u201cmeaning the same thing\u201d. This graph is then traversed to extract sets of paraphrases. Several language-independent\nfilters and pruning steps are applied to remove uninteresting sentences. A manual evaluation performed on three languages shows\nthat between half and three quarters of inferred paraphrases are correct and that most remaining ones are either correct but trivial, or\nnear-paraphrases that neutralize a morphological distinction. The corpus contains a total of 1.9 million sentences, with 200 \u2013 250 000\nsentences per language. 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