Towards a bidirectional machine translator generator for multilingual communication

Ryan Lane, Ajay Bansal

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

Abstract

Machine Translation (MT) systems are typically quite complex, especially those used in production environments where high-quality conversational text or speech translation from one language to another is important. As a result, the vast majority of MT systems support translation between a single language pair, often uni-directionally. This research study extends previous work to assess the efficacy of developing a bidirectional translator generator in Prolog programming language using Lexical Functional Grammars. The main research objective is building a machine translator generator for multilingual communication, i.e. developing a system whose inputs are linguistic descriptions of a desired source and target language and whose output is a program that translates between the two natural languages. The implementation of a bidirectional machine translator between English and Hungarian, developed as a proof-of-concept case study, is discussed and assessed in terms of four general classes of translation. The benefits and drawbacks of this approach as generalized to MT systems are also discussed, along with possible areas of future work.

Original languageEnglish (US)
Title of host publicationProceedings - 2019 IEEE International Conference on Conversational Data and Knowledge Engineering, CDKE 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages25-32
Number of pages8
ISBN (Electronic)9781728160887
DOIs
StatePublished - Dec 2019
Externally publishedYes
Event1st IEEE International Conference on Conversational Data and Knowledge Engineering, CDKE 2019 - San Diego, United States
Duration: Dec 9 2019Dec 11 2019

Publication series

NameProceedings - 2019 IEEE International Conference on Conversational Data and Knowledge Engineering, CDKE 2019

Conference

Conference1st IEEE International Conference on Conversational Data and Knowledge Engineering, CDKE 2019
CountryUnited States
CitySan Diego
Period12/9/1912/11/19

Keywords

  • Conversational text translation
  • Lexical functional grammars
  • Logic programming
  • Machine translation
  • Natural language processing

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Media Technology
  • Linguistics and Language
  • Communication

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