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Phrase table combination deficiency analyses in pivot-based SMT

  • School of Computer Science and Technology, Harbin Institute of Technology

Research output: Chapter in Book/Report/Conference proceedingConference contributionpeer-review

Abstract

As the parallel corpus is not available all the time, pivot language was introduced to solve the parallel corpus sparseness in statistical machine translation. In this paper, we carried out several phrase-based SMT experiments, and analyzed the detailed reasons that caused the decline in translation performance. Experimental results indicated that both covering rate of phrase pairs and translation probability accuracy affect the quality of translation.

Original languageEnglish
Title of host publicationNatural Language Processing and Information Systems - 18th International Conference on Applications of Natural Language to Information Systems, NLDB 2013, Proceedings
Pages355-358
Number of pages4
DOIs
StatePublished - 2013
Externally publishedYes
Event18th International Conference on Application of Natural Language to Information Systems, NLDB 2013 - Salford, United Kingdom
Duration: 19 Jun 201321 Jun 2013

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume7934 LNCS
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Conference

Conference18th International Conference on Application of Natural Language to Information Systems, NLDB 2013
Country/TerritoryUnited Kingdom
CitySalford
Period19/06/1321/06/13

Keywords

  • Machine translation
  • Phrase table combination
  • Pivot method

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