A step-by-step model for human detection of four compositional-based translation errors
Pages 172 - 177
Abstract
In this paper, we describe a step-by-step model for human detection of four compositional translation errors between two segments in source and target language. The model is based on the application of a meaning unit precision algorithm for two groups of symmetrical translation errors and on the acceptability assessment of the candidate target segment for over-translation and under-translation errors. Although we borrowed the conceptual framework from automatic assessment of machine translations like Papineni (2002), the algorithm is not intended for use in assessment of automatic machine translation but of human translation. Its purpose is to describe some common human translation errors that are compositional. The analysis described reflects professional state of the art practices and hopefully will be of interest in training professional translators and in the formalization and systematic description of meaning-based translation methods that will be made possible in the future when the processing of meaning units will be feasible.
References
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Mejri S. (2008). "Constructions à verbes supports, collocations et locutions verbales" in Mogorrón Huerta P. & Mejri S. (dir), Las constructiones verbo-nominales libres y fijas. Aproximacióón contrastive y traductológica, Alicante: Encuetros Mediterráneos.
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Papineni, K., Roukos, S., Ward, T., & Zhu, W. J. (2002, July). BLEU: a method for automatic evaluation of machine translation. In Proceedings of the 40th annual meeting on association for computational linguistics (pp. 311--318). Association for Computational Linguistics.
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Index Terms
- A step-by-step model for human detection of four compositional-based translation errors
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Published In
September 2014
225 pages
ISBN:9781450327671
DOI:10.1145/2668260
- Conference Chairs:
- Obaid Al Motairy,
- Richard Chbeir,
- Mohammed Alodib,
- Lamri Laouamer,
- Youakim Badr,
- Program Chairs:
- Morad Benyoucef,
- Saad Harous,
- Ismail Biskri
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Published: 15 September 2014
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MEDES '14: The 6th International Conference on Management of Emergent Digital EcoSystems
September 15 - 17, 2014
Al Qassim, Buraidah, Saudi Arabia
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