ICE: Idiom and Collocation Extractor for Research and Education
2017-04-01EACL 2017Unverified0· sign in to hype
Vasanthi Vuppuluri, Shahryar Baki, An Nguyen, Rakesh Verma
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Collocation and idiom extraction are well-known challenges with many potential applications in Natural Language Processing (NLP). Our experimental, open-source software system, called ICE, is a python package for flexibly extracting collocations and idioms, currently in English. It also has a competitive POS tagger that can be used alone or as part of collocation/idiom extraction. ICE is available free of cost for research and educational uses in two user-friendly formats. This paper gives an overview of ICE and its performance, and briefly describes the research underlying the extraction algorithms.