A Morphological Analyzer for Japanese Nouns, Verbs and Adjectives
This work provides a domain-specific tool for Japanese natural language processing, offering incremental improvements in morphological analysis.
The authors tackled the problem of morphological analysis for Japanese nouns, verbs, and adjectives by developing an open-source analyzer that builds upon MeCab to incorporate finer classification details like politeness, tense, mood, and voice attributes, resulting in a tool implemented as a finite state transducer using the FOMA toolkit.
We present an open source morphological analyzer for Japanese nouns, verbs and adjectives. The system builds upon the morphological analyzing capabilities of MeCab to incorporate finer details of classification such as politeness, tense, mood and voice attributes. We implemented our analyzer in the form of a finite state transducer using the open source finite state compiler FOMA toolkit. The source code and tool is available at https://bitbucket.org/skylander/yc-nlplab/.