Abstract
This paper describes and evaluates a grammar-based machine translation system for the Swedish-Danish language pair. Source-language structural analysis, polysemy resolution, syntactic movement rules and target-language agreement are based on Constraint Grammar morphosyntactic tags and dependency trees. Lexical transfer rules exploit dependency links to access contextual information, such as syntactic argument function, semantic type and quantifiers, or to integrate verbal features, e.g. diathesis and auxiliaries. Out-of-vocabulary words are handled by derivational and compound analysis with a combined coverage of 99.3%, as well as systematic morpho-phonemic transliterations for the remaining cases. The system achieved BLEU scores of 0.65-0.8 depending on references and outperformed both STMT and RBMT competitors by a large margin.
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Bick, E. (2014). Constraint Grammar-Based Swedish-Danish Machine Translation. In: Przepiórkowski, A., Ogrodniczuk, M. (eds) Advances in Natural Language Processing. NLP 2014. Lecture Notes in Computer Science(), vol 8686. Springer, Cham. https://doi.org/10.1007/978-3-319-10888-9_23
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DOI: https://doi.org/10.1007/978-3-319-10888-9_23
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