An adaptive machine translator for multilingual communication

Ryan Lane; Ajay Bansal

doi:10.1109/WETICE.2017.53

An adaptive machine translator for multilingual communication

Ryan Lane, Ajay Bansal

Software Engineering

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution

2 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 language	English (US)
Title of host publication	Proceedings - 2017 IEEE 26th International Conference on Enabling Technologies
Subtitle of host publication	Infrastructure for Collaborative Enterprises, WETICE 2017
Editors	Wojciech Cellary, MariaGrazia Fugini, Sumitra Reddy
Publisher	Institute of Electrical and Electronics Engineers Inc.
Pages	21-23
Number of pages	3
ISBN (Electronic)	9781538617588
DOIs	https://doi.org/10.1109/WETICE.2017.53
State	Published - Aug 7 2017
Event	26th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2017 - Poznan, Poland Duration: Jun 21 2017 → Jun 23 2017

Other

Other	26th IEEE International Conference on Enabling Technologies: Infrastructure for Collaborative Enterprises, WETICE 2017
Country/Territory	Poland
City	Poznan
Period	6/21/17 → 6/23/17

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

Access to Document

10.1109/WETICE.2017.53

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). Article 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 proceeding › Conference 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

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An adaptive machine translator for multilingual communication

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Keywords

ASJC Scopus subject areas

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