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

Research output: Chapter in Book/Report/Conference proceedingConference contribution

3 Citations (Scopus)

Abstract

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.

Original languageEnglish
Title of host publication18th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2016 - Proceedings
EditorsMaria Indrawan-Santiago, Gabriele Anderst-Kotsis, Matthias Steinbauer, Ismail Khalil
PublisherAssociation for Computing Machinery
Pages276-281
Number of pages6
ISBN (Electronic)9781450348072
DOIs
Publication statusPublished - 2016 Nov 28
Event18th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2016 - Singapore, Singapore
Duration: 2016 Nov 282016 Nov 30

Publication series

NameACM International Conference Proceeding Series

Other

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

Keywords

  • BM25F
  • Domain document
  • HMM
  • Sentence cor-rection
  • Speech recognition correction

ASJC Scopus subject areas

  • Software
  • Human-Computer Interaction
  • Computer Vision and Pattern Recognition
  • Computer Networks and Communications

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    Radzikowski, K., Wang, L., & Yoshie, O. (2016). Non-native English speakers' speech correction, based on domain focused document. In M. Indrawan-Santiago, G. Anderst-Kotsis, M. Steinbauer, & I. Khalil (Eds.), 18th International Conference on Information Integration and Web-Based Applications and Services, iiWAS 2016 - Proceedings (pp. 276-281). (ACM International Conference Proceeding Series). Association for Computing Machinery. https://doi.org/10.1145/3011141.3011169