Sublanguages in machine translation

Luckhardt, Heinz-Dirk

doi:10.3115/977180.977234

Proceedings of the Fifth Conference on European Chapter of the Association for Computational Linguistics - 1991

DOI: 10.3115/977180.977234

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Sublanguages in machine translation

Heinz-Dirk Luckhardt

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Cited by 2 publications

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Patent Claim Translation based on Sublanguage-specific Sentence Structure

Fuji

Fujita

Utiyama

et al. 2016

Journal of Natural Language Processing

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Patent claim sentences, despite their legal importance in patent documents, still pose difficulties for state-of-the-art statistical machine translation (SMT) systems owing to their extreme lengths and their special sentence structure. This paper describes a method for improving the translation quality of claim sentences, by taking into account the features specific to the claim sublanguage. Our method overcomes the issue of special sentence structure, by transferring the sublanguage-specific sentence structure from the source language to the target language, using a set of synchronous context-free grammar rules. Our method also overcomes the issue of extreme lengths by taking the sentence components to be the processing unit for SMT. An experiment demonstrates that our proposed method significantly improves the translation quality in terms of RIBES scores by over 25 points, in all of the four translation directions i.e., English-to-Japanese, Japanese-to-English, Chinese-to-Japanese and Japanese-toChinese directions. Alongside the improvement in RIBES scores, improvements of † , National

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Patent Claim Translation based on Sublanguage-specific Sentence Structure

Fuji

Fujita

Utiyama

et al. 2016

Journal of Natural Language Processing

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Improving Sublanguage Translation via Global Pre-ordering

Fuji

Utiyama

Sumita

et al. 2017

Journal of Natural Language Processing

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When translating formal documents, capturing the sentence structure specific to the sublanguage is extremely necessary to obtain high-quality translations. This paper proposes a novel global reordering method that focuses on long-distance reordering to capture the global sentence structure of a sublanguage. The proposed method learns global reordering models without syntactic parsing from a non-annotated parallel corpus and works in conjunction with conventional syntactic reordering. The experimental results regarding patent abstract sublanguage show concrete improvements in translation quality, both for Japanese-to-English and English-to-Japanese translations.

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Sublanguages in machine translation

Cited by 2 publications

References 2 publications

Patent Claim Translation based on Sublanguage-specific Sentence Structure

Patent Claim Translation based on Sublanguage-specific Sentence Structure

Improving Sublanguage Translation via Global Pre-ordering

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