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Source sentence simplification for statistical machine translation

  • Published:2017-09 Issue: Volume:45 Page:221-235
  • ISSN:0885-2308
  • Container-title:Computer Speech & Language
  • language:en
  • Short-container-title:Computer Speech & Language

Author:

Hasler Eva,de Gispert Adrià,Stahlberg FelixORCID,Waite Aurelien,Byrne Bill

Funder

Improving Target Language Fluency in Statistical Machine Translation

Publisher

Elsevier BV

Subject

Human-Computer Interaction,Theoretical Computer Science,Software

Reference36 articles.

1. Neural machine translation by jointly learning to align and translate;Bahdanau,2015

2. METEOR : An automatic metric for MT evaluation with improved correlation with human judgments;Banerjee,2005

3. Findings of the 2015 workshop on statistical machine translation;Bojar,2015

4. Long-distance reordering during search for hierarchical phrase-based SMT;Braune,2012

5. A hierarchical phrase-based model for statistical machine translation;Chiang,2005

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1. A Bibliometric Analysis of Different Machine Translation Evaluation Metrics;2024 5th International Conference on Intelligent Communication Technologies and Virtual Mobile Networks (ICICV);2024-03-11

2. Do Text Simplification Systems Preserve Meaning? A Human Evaluation via Reading Comprehension;Transactions of the Association for Computational Linguistics;2024

3. Curriculum Compositional Continual Learning for Neural Machine Translation;Procedia Computer Science;2023

4. Studying the Effect of Syntactic Simplification on Text Summarization;IETE Technical Review;2022-03-31

5. Challenges of Neural Machine Translation for Short Texts;Computational Linguistics;2022
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