Morphological predictability of unseen words using computational analogy

Rashel Fam, Yves Lepage

研究成果: Conference article査読

10 被引用数 (Scopus)


We address the problem of predicting unseen words by relying on the organization of the vocabulary of a language as exhibited by paradigm tables. We present a pipeline to automatically produce paradigm tables from all the words contained in a text. We measure how many unseen words from an unseen test text can be predicted using the paradigm tables obtained from a training text. Experiments are carried out in several languages to compare the morphological richness of languages, and also the richness of the vocabulary of different authors.

ジャーナルCEUR Workshop Proceedings
出版ステータスPublished - 2016
イベント24th International Conference on Case-Based Reasoning Workshops, ICCBR-WS 2016 - Atlanta, United States
継続期間: 2016 10月 312016 11月 2

ASJC Scopus subject areas

  • コンピュータ サイエンス(全般)


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