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Taking on new challenges in multi-word unit processing for machine translation

This paper discusses the complexities and innovative approaches in processing multi-word units within machine translation systems. It explores the definitions and integration of multi-word units into lexicon-grammar, lemmatization criteria, and the corpus-linguistic approach to understanding these challenges. The study includes typical ambiguities faced by machine translation systems and evaluates different methods, including semantic-syntactic integration, and qualitative metrics for assessing machine translation effectiveness. By addressing these elements, the authors aim to enhance the overall performance of multi-word unit processing in machine translation.

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Taking on new challenges in multi-word unit processing for machine translation

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  1. Taking on new challenges in multi-word unit processing for machine translation Johanna MONTI, Anabela BARREIRO, Annibale ELIA, Federica MARANO, Antonella NAPOLI

  2. Taking on new challenges in Multi-word Unit processing for machine translation – FreeBMT 2011 Outline

  3. Multi-word units in the Lexicon-Grammar: definition Taking on new challenges in Multi-word Unit processing for machine translation – FreeBMT 2011

  4. Multi-word units in the Lexicon-Grammar Taking on new challenges in Multi-word Unit processing for machine translation – FreeBMT 2011

  5. Multi-word units in the Lexicon-Grammar : part of a continuum Taking on new challenges in Multi-word Unit processing for machine translation – FreeBMT 2011

  6. Multi-word units in the Lexicon-Grammar: lemmatization Taking on new challenges in Multi-word Unit processing for machine translation – FreeBMT 2011

  7. Multi-word units in the Lexicon-Grammar: lemmatization criteria Taking on new challenges in Multi-word Unit processing for machine translation – FreeBMT 2011

  8. The corpus-linguistic approach Taking on new challenges in Multi-word Unit processing for machine translation – FreeBMT 2011

  9. Multi-wordunits in MachineTranslation Taking on new challenges in Multi-word Unit processing for machine translation – FreeBMT 2011

  10. Multi-wordunits in MachineTranslation: mainproblems Taking on new challenges in Multi-word Unit processing for machine translation – FreeBMT 2011

  11. Multi-word units in Machine Translation: different approaches Taking on new challenges in Multi-word Unit processing for machine translation – FreeBMT 2011

  12. Lexicalambiguitieshandledbydifferentsystems • Corpus: • non-specialized texts • approx. 300 sentences (10,000 words) • multi-word units • extracted from the Web • Webcorp LSE, Web as a Corpus • MT systems : • Google Translate • OpenLogos OpenLogos Taking on new challenges in Multi-word Unit processing for machine translation – FreeBMT 2011

  13. Typical ambiguities: examples Taking on new challenges in Multi-word Unit processing for machine translation – FreeBMT 2011

  14. Typical ambiguities: examples Taking on new challenges in Multi-word Unit processing for machine translation – FreeBMT 2011

  15. Integration of Semantico-Syntactic knowledge Taking on new challenges in Multi-word Unit processing for machine translation – FreeBMT 2011

  16. Integration of Semantico-Syntactic knowledge Taking on new challenges in Multi-word Unit processing for machine translation – FreeBMT 2011

  17. Integration of Semantico-Syntactic knowledge: mix up Taking on new challenges in Multi-word Unit processing for machine translation – FreeBMT 2011

  18. SemTab rules comment lines for the verb mix up Taking on new challenges in Multi-word Unit processing for machine translation – FreeBMT 2011

  19. Qualitative MT Evaluationmetrics Taking on new challenges in Multi-word Unit processing for machine translation – FreeBMT 2011

  20. Qualitative MT Evaluationmetrics Taking on new challenges in Multi-word Unit processing for machine translation – FreeBMT 2011

  21. Qualitative MT Evaluationmetrics Taking on new challenges in Multi-word Unit processing for machine translation – FreeBMT 2011

  22. Qualitative MT Evaluationmetrics Taking on new challenges in Multi-word Unit processing for machine translation – FreeBMT 2011

  23. Qualitative MT Evaluation metrics: the «ideal» evaluation tool Taking on new challenges in Multi-word Unit processing for machine translation – FreeBMT 2011

  24. Conclusions Taking on new challenges in Multi-word Unit processing for machine translation – FreeBMT 2011

  25. Thank you for your attention ! Johanna MONTI, Anabela BARREIRO Annibale ELIA, Federica MARANO, Antonella NAPOLI

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