Covering a sentence in form and meaning with fewer retrieved sentences

Yuan Liu, Yves Lepage

研究成果: Paper査読

抄録

Retrieving similar sentences from a given collection of sentences is essential in a range of applications. In this work, we propose a novel method to retrieve several sentences that cover an input sentence in form and meaning with minimal redundancy, so as to enhance the overall coverage quality of the output sentences. We focus on the hierarchical granularity levels of sentence pieces, matching from common or similar n-grams to finer-grained words o subwords, using techniques from similar sentence retrieval and monolingual phrase alignment. Our method shows promising source and target coverage evaluation results when applied to parallel corpora. This shows the potential of our approach if integrated into an example-based machine translation system.

本文言語English
ページ436-445
ページ数10
出版ステータスPublished - 2021
イベント35th Pacific Asia Conference on Language, Information and Computation, PACLIC 2021 - Shanghai, China
継続期間: 2021 11月 52021 11月 7

Conference

Conference35th Pacific Asia Conference on Language, Information and Computation, PACLIC 2021
国/地域China
CityShanghai
Period21/11/521/11/7

ASJC Scopus subject areas

  • 人工知能
  • 人間とコンピュータの相互作用
  • 言語学および言語

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