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論文 ·日本語 ·未確認

Language Resource Addition: Dictionary or Corpus?

Shinsuke Mori Graham Neubig

刊行年
2014-05-01
言語
英語
OpenAlex
W2251455968
DOI
10.63317/3sxwtfw7aeyi
MAG
2251455968
URL
http://www.lrec-conf.org/proceedings/lrec2014/pdf/648_Paper.pdf

要旨

In this paper, we investigate the relative effect of two strategies of language resource additions to the word segmentation problem and partof-speech tagging problem in Japanese.The first strategy is adding entries to the dictionary and the second is adding annotated sentences to the training corpus.The experimental results showed that the annotated sentence addition to the training corpus is better than the entries addition to the dictionary.And the annotated sentence addition is efficient especially when we add new words with contexts of three real occurrences as partially annotated sentences.According to this knowledge, we executed annotation on the invention disclosure texts and observed word segmentation accuracy.

主題

この書誌の出所

  • openalex— W2251455968(2026-08-14取得)

引用

Shinsuke Mori・Graham Neubig(2014-05-01) Language Resource Addition: Dictionary or Corpus? pp. 1631-1636

MoriNeubig2014LanguageResourceAddition
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