Abstract
This paper presents an application developed for automatically suggesting translation equivalents in a frame-based domain specific trilingual electronic dictionary covering the domains of the World Cup and Tourism. By comparing the syntactic and semantic affordances of a lexical unit in the source language with those shown by all lexical units evoking the same frame in a target language, the application suggests which of them is the best-fit translation equivalent. The application contributes to the purpose of bringing to scale the development of frame-based multilingual lexical databases. We discuss the current limitations of the application, especially those regarding entity nouns, and propose the use of ontologies and qualia structure as a means of enhancing machine translation for entity nouns.
Authors are thankful to FAPEMIG (Grants # CHE-APQ-00567-12 and CHE-APQ-00471-15) and CNPq (Grant # 448990/2014-8) for funding the development of the applications described in this paper. The presentation of this paper at PROPOR 2016 was made possible by FAPEMIG (Grant # PEE-00499-16).
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Peron-Corrêa, S., Diniz, A., Lara, M., Matos, E., Torrent, T. (2016). FrameNet-Based Automatic Suggestion of Translation Equivalents. In: Silva, J., Ribeiro, R., Quaresma, P., Adami, A., Branco, A. (eds) Computational Processing of the Portuguese Language. PROPOR 2016. Lecture Notes in Computer Science(), vol 9727. Springer, Cham. https://doi.org/10.1007/978-3-319-41552-9_35
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DOI: https://doi.org/10.1007/978-3-319-41552-9_35
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