An adaptive machine translator for multilingual communication

Ryan Lane, Ajay Bansal

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

1 Scopus citations

Abstract

Machine translation (MT) between natural languages is an infamously difficult problem in Natural Language Processing that is still very much being researched. This research study explores the efficacy of developing an adaptive translator 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. A bidirectional machine translator between English and Hungarian, developed as a proof-of-concept case study, is discussed. 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 - 2017 IEEE 26th International Conference on Enabling Technologies
Subtitle of host publicationInfrastructure for Collaborative Enterprises, WETICE 2017
EditorsWojciech Cellary, MariaGrazia Fugini, Sumitra Reddy
PublisherInstitute of Electrical and Electronics Engineers Inc.
Pages21-23
Number of pages3
ISBN (Electronic)9781538617588
DOIs
StatePublished - Aug 7 2017
Event26th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2017 - Poznan, Poland
Duration: Jun 21 2017Jun 23 2017

Other

Other26th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2017
CountryPoland
CityPoznan
Period6/21/176/23/17

    Fingerprint

Keywords

  • Adaptive computing
  • Lexical functional grammars
  • Machine translation
  • Natural language processing

ASJC Scopus subject areas

  • Computer Networks and Communications
  • Business, Management and Accounting (miscellaneous)
  • Hardware and Architecture

Cite this

Lane, R., & Bansal, A. (2017). An adaptive machine translator for multilingual communication. In W. Cellary, M. Fugini, & S. Reddy (Eds.), Proceedings - 2017 IEEE 26th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2017 (pp. 21-23). [8003780] Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/WETICE.2017.53