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• W34164803 abstract "One of the major concerns of the machine translation practitioners is to create good translation models: correctly extracted translation equivalents and a reduced size of the translation table are the most important evaluation criteria. This paper presents a method for extracting translation examples using the dependency linkage of both the source and target sentence. To decompose the source/target sentence into fragments, we identified two types of dependency link-structures super-links and chains and used these structures to set the translation example borders. The option for the dependency-linked ngrams approach is based on the assumption that a decomposition of the sentence in coherent segments, with complete syntactical structure and which accounts for extra-phrasal syntactic dependency would guarantee “better” translation examples and would make a better use of the storage space. The performance of the dependency-based approach is measured with the BLEU-NIST score and in comparison with a baseline system." @default.
• W34164803 created "2016-06-24" @default.
• W34164803 creator A5082156666 @default.
• W34164803 creator A5090205535 @default.
• W34164803 date "2010-01-01" @default.
• W34164803 modified "2023-10-16" @default.
• W34164803 title "Dependency-based translation equivalents for factored machine translation" @default.
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• W34164803 hasPublicationYear "2010" @default.
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