Non-native English speakers' speech correction, based on domain focused document

研究成果: Conference contribution

5 被引用数 (Scopus)

抄録

With the increase in exchange programs, many international students worldwide can face communication problems. Dur-ing lectures, usually English language is used for the commu-nication between students and teachers. However both sides, not necessarily being native speakers of English, may misun-derstand each other. In this paper we propose a method for correction of non-native English speakers' speech, based on the domain focused electronic document. The method relies on the results of speech recognition (SR) software, and uses them altogether with the document. Our approach consists of three steps. Firstly, document analysis in the preprocess-ing phase. Secondly, finding the document part correspond-ing to sentence from SR software, realised using the Hidden Markov Model (HMM) based method. Finally, the correc-tion by calculating the score for each of candidate sentences, based on the result of SR software. The probability score combines keywords comparison, BM25F method and HMM based method scores. Highest score candidate is chosen as replacement.

本文言語English
ホスト出版物のタイトル18th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2016 - Proceedings
編集者Maria Indrawan-Santiago, Gabriele Anderst-Kotsis, Matthias Steinbauer, Ismail Khalil
出版社Association for Computing Machinery
ページ276-281
ページ数6
ISBN(電子版)9781450348072
DOI
出版ステータスPublished - 2016 11 28
イベント18th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2016 - Singapore, Singapore
継続期間: 2016 11 282016 11 30

出版物シリーズ

名前ACM International Conference Proceeding Series

Other

Other18th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2016
国/地域Singapore
CitySingapore
Period16/11/2816/11/30

ASJC Scopus subject areas

  • ソフトウェア
  • 人間とコンピュータの相互作用
  • コンピュータ ビジョンおよびパターン認識
  • コンピュータ ネットワークおよび通信

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