Modeling characteristics of agglutinative languages with multi-class language model for ASR system

I. Dawa, Y. Sagisaka, S. Nakamura

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

1 Citation (Scopus)

Abstract

In this paper, we discuss a new language model that considers the characteristics of the agglutinative languages. We used Mongolian (a Cyrillic language system used in Mongolia) as an example from which to build the language model. We developed a Multi-class N-gram language model based on similar word clustering that focuses on the variable suffixes of a word in Mongolian. By applying our proposed language model, the resulting recognition system can improve performance by 6.85% compared with a conventional word N-gram when applying the ATRASR engine. We also confirmed that our new model will be convenient for rapid development of an ASR system for resource-deficient languages, especially for agglutinative languages such as Mongolian.

Original languageEnglish
Title of host publication2009 Oriental COCOSDA International Conference on Speech Database and Assessments, ICSDA 2009
Pages104-109
Number of pages6
DOIs
Publication statusPublished - 2009 Dec 10
Externally publishedYes
Event2009 Oriental COCOSDA International Conference on Speech Database and Assessments, ICSDA 2009 - Urumqi, China
Duration: 2009 Aug 102009 Aug 12

Publication series

Name2009 Oriental COCOSDA International Conference on Speech Database and Assessments, ICSDA 2009

Conference

Conference2009 Oriental COCOSDA International Conference on Speech Database and Assessments, ICSDA 2009
CountryChina
CityUrumqi
Period09/8/1009/8/12

ASJC Scopus subject areas

  • Language and Linguistics
  • Software
  • Linguistics and Language

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    Dawa, I., Sagisaka, Y., & Nakamura, S. (2009). Modeling characteristics of agglutinative languages with multi-class language model for ASR system. In 2009 Oriental COCOSDA International Conference on Speech Database and Assessments, ICSDA 2009 (pp. 104-109). [5278368] (2009 Oriental COCOSDA International Conference on Speech Database and Assessments, ICSDA 2009). https://doi.org/10.1109/ICSDA.2009.5278368