An Annotated Corpus Management Tool: ChaKi
Yūji Matsumoto, Masayuki Asahara, Kiyota Hashimoto, Yukio Tono, Akira Ohtani, Toshio Morita · 2006
Large scale annotated corpora are very important not only in linguistic research but also in practical natural language processing tasks since a number of practical tools such as Part-of-speech (POS) taggers and syntactic parsers are now corpus-based or machine learningbased systems which require some amount of accurately annotated corpora.This article presents an annotated corpus management tool that provides various functions that include flexible search, statistic calculation, and error correction for linguistically annotated corpora.The target of annotation covers POS tags, base phrase chunks and syntactic dependency structures.This tool aims at helping development of consistent construction of lexicon and annotated corpora to be used by researchers both in linguists and language processing communities.