Resumen de ICE: idiom and Collocation Extractor for Research and Education
Vasanthi Vuppuluri, Shahryar Baki, An Nguyen, Rakesh Verma
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 perfor- mance, and briefly describes the research underlying the extraction algorithms
