NWJC2Vec
Masayuki Asahara · Terminology International Journal of Theoretical and Applied Issues in Specialized Communication · 2018
Abstract In this paper, we present a word embedding dataset NWJC2Vec constructed using ‘NINJAL Web Japanese Corpus (NWJC)’. NWJC is a Web-crawled text corpus that contains 25.8 billion tokens. We construct two types of the word embedding dataset: one is based on the surface form, and the other is based on the complete morpheme information provided by UniDic, which is a lexicon for the Japanese morphological analyser MeCab. We perform an evaluation of the dataset by comparing it with the ‘Word List by Semantic Principles (Bunrui Goihyo)’.