Case-Based Translation: First Steps from a Knowledge-Light Approach Based on Analogy to a Knowledge-Intensive One

Yves Lepage, Jean Lieber

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

1 Citation (Scopus)

Abstract

This paper deals with case-based machine translation. It is based on a previous work using a proportional analogy on strings, i.e., a quaternary relation expressing that “String A is to string B as string C is to string D”. The first contribution of this paper is the rewording of this work in terms of case-based reasoning: a case is a problem-solution pair (A,A') where A is a sentence in an origin language and A', its translation in the destination language. First, three cases (A,A') (B,B') (C,C') such that “A is to B as C is to the target problem D” are retrieved. Then, the analogical equation in the destination language “ A' is to B' as C' is to x” is solved and D'=x is a suggested translation of D. Although it does not involve any linguistic knowledge, this approach was effective and gave competitive results at the time it was proposed. The second contribution of this work aims at examining how this prior knowledge-light case-based machine translation approach could be improved by using additional pieces of knowledge associated with cases, domain knowledge, retrieval knowledge, and adaptation knowledge, and other principles or techniques from case-based reasoning and natural language processing.

Original languageEnglish
Title of host publicationCase-Based Reasoning Research and Development - 26th International Conference, ICCBR 2018, Proceedings
EditorsMichael T. Cox, Peter Funk, Shahina Begum
PublisherSpringer Verlag
Pages563-579
Number of pages17
ISBN (Print)9783030010805
DOIs
Publication statusPublished - 2018 Jan 1
Event26th International Conference on Case-Based Reasoning, ICCBR 2018 - Stockholm, Sweden
Duration: 2018 Jul 92018 Jul 12

Publication series

NameLecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics)
Volume11156 LNAI
ISSN (Print)0302-9743
ISSN (Electronic)1611-3349

Other

Other26th International Conference on Case-Based Reasoning, ICCBR 2018
CountrySweden
CityStockholm
Period18/7/918/7/12

Keywords

  • Analogy
  • Knowledge-intensive case-based reasoning
  • Knowledge-light case-based reasoning
  • Machine translation

ASJC Scopus subject areas

  • Theoretical Computer Science
  • Computer Science(all)

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  • Cite this

    Lepage, Y., & Lieber, J. (2018). Case-Based Translation: First Steps from a Knowledge-Light Approach Based on Analogy to a Knowledge-Intensive One. In M. T. Cox, P. Funk, & S. Begum (Eds.), Case-Based Reasoning Research and Development - 26th International Conference, ICCBR 2018, Proceedings (pp. 563-579). (Lecture Notes in Computer Science (including subseries Lecture Notes in Artificial Intelligence and Lecture Notes in Bioinformatics); Vol. 11156 LNAI). Springer Verlag. https://doi.org/10.1007/978-3-030-01081-2_37