Lexical Morphology in Machine Translation: A Feasibility Study

作者: Bruno Cartoni

DOI: 10.3115/1609067.1609081

关键词: Natural language processingMachine translationMorphology (biology)Morphology (linguistics)Computer scienceArtificial intelligenceOrder (business)Large set (Ramsey theory)

摘要: This paper presents a feasibility study for implementing lexical morphology principles in machine translation system order to solve unknown words. Multilingual symbolic treatment of word-formation is seducing but requires an in-depth analysis every step that has be performed. The construction prototype firstly presented, highlighting the methodological issues such approach. Secondly, evaluation performed on large set data, showing benefits and limits

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