論文 ·日本語 ·未確認
Preprocessing Methods and Tools in Modelling Japanese for Text Classification
Reza Rahutomo ・ Febrian Lubis ・ Hery Harjono Muljo ・ Bens Pardamean
- 刊行年
- 2019-08-01
- 言語
- 英語
- OpenAlex
- W2973999757
- DOI
- 10.1109/icimtech.2019.8843796
- MAG
- 2973999757
- URL
- https://doi.org/10.1109/icimtech.2019.8843796
要旨
As a subset of Artificial Intelligence, Natural Language Processing (NLP) is a breakthrough in surpassing language barrier. Japanese language characteristics bring its own challenge in morphological analysis due to the uniqueness of Japanese grammatical system. By the rapid development of NLP tools, many Japanese NLP tools developed with limited ability yet specialized in running certain preprocessing methods. In this paper, the compilation of various methods and newly discovered tools for preprocess Japanese text are delivered to help people decide which Japanese NLP tools needs to be utilized to run some preprocessing methods. All of the Japanese preprocessing methods and tools are collected through literature review. It is concluded that depending on one NLP tool is not recommended since combination of Japanese NLP tools is required to finish Japanese preprocessing phase.
主題
この書誌の出所
- openalex— W2973999757(2026-08-14取得)
引用
Reza Rahutomo・Febrian Lubis・Hery Harjono Muljo・Bens Pardamean(2019-08-01) Preprocessing Methods and Tools in Modelling Japanese for Text Classification pp. 472-476