An adaptive machine translator for multilingual communication

Ryan Lane, Ajay Bansal

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

    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

    Communication
    Linguistics
    Processing
    Language
    Machine translation
    Natural language processing
    Efficacy
    Grammar
    Generator

    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

    An adaptive machine translator for multilingual communication. / Lane, Ryan; Bansal, Ajay.

    Proceedings - 2017 IEEE 26th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2017. ed. / Wojciech Cellary; MariaGrazia Fugini; Sumitra Reddy. Institute of Electrical and Electronics Engineers Inc., 2017. p. 21-23 8003780.

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

    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., 8003780, Institute of Electrical and Electronics Engineers Inc., pp. 21-23, 26th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2017, Poznan, Poland, 6/21/17. https://doi.org/10.1109/WETICE.2017.53
    Lane R, Bansal A. An adaptive machine translator for multilingual communication. In Cellary W, Fugini M, Reddy S, editors, Proceedings - 2017 IEEE 26th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2017. Institute of Electrical and Electronics Engineers Inc. 2017. p. 21-23. 8003780 https://doi.org/10.1109/WETICE.2017.53
    Lane, Ryan ; Bansal, Ajay. / An adaptive machine translator for multilingual communication. Proceedings - 2017 IEEE 26th International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2017. editor / Wojciech Cellary ; MariaGrazia Fugini ; Sumitra Reddy. Institute of Electrical and Electronics Engineers Inc., 2017. pp. 21-23
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