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# Who cites «A Hierarchical Phrase-Based Model for Statistical Machine Translation»

546 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/chiang-2005-hierarchical-phrase-based-model-statistical/)

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1. [Beyond Decoder-only: Large Language Models Can be Good Encoders for Machine Translation](https://aclanthology.org/2025.findings-acl.490/) *— 2025 · Findings of the Association for Computational Linguistics: ACL 2025*
2. [An Overview on Machine Translation Evaluation](https://arxiv.org/abs/2202.11027) *— 2022 · arXiv:2202.11027*
3. [Findings of the Word-Level AutoCompletion Shared Task in WMT 2022](https://aclanthology.org/2022.wmt-1.75/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
4. [Hierarchical Phrase-Based Sequence-to-Sequence Learning](https://aclanthology.org/2022.emnlp-main.563/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
5. [Chinese Character Decomposition for Neural MT with Multi-Word Expressions](https://aclanthology.org/2021.nodalida-main.35/) *— 2021 · Proceedings of the 23rd Nordic Conference on Computational Linguistics (NoDaLiDa)*
6. [Compositional Generalization for Neural Semantic Parsing via Span-level Supervised Attention](https://aclanthology.org/2021.naacl-main.225/) *— 2021 · Proceedings of the 2021 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
7. [Dependency Graph-to-String Statistical Machine Translation](https://arxiv.org/abs/2103.11089) *— 2021 · arXiv:2103.11089*
8. [G-Transformer for Document-Level Machine Translation](https://aclanthology.org/2021.acl-long.267/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
9. [GWLAN: General Word-Level AutocompletioN for Computer-Aided Translation](https://aclanthology.org/2021.acl-long.370/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
10. [Neural Machine Translation for Sinhala-English Code-Mixed Text](https://aclanthology.org/2021.ranlp-1.82/) *— 2021 · Proceedings of the International Conference on Recent Advances in Natural Language Processing (RANLP 2021)*
11. [Rewriter-Evaluator Architecture for Neural Machine Translation](https://aclanthology.org/2021.acl-long.443/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
12. [Synchronous Syntactic Attention for Transformer Neural Machine Translation](https://aclanthology.org/2021.acl-srw.36/) *— 2021 · Proceedings of the 59th Annual Meeting of the Association for Computational Linguistics and the 11th International Joint Conference on Natural Language Processing: Student Research Workshop*
13. [Translation Quality Assessment: A Brief Survey on Manual and Automatic Methods](https://aclanthology.org/2021.motra-1.3/) *— 2021 · Proceedings for the First Workshop on Modelling Translation: Translatology in the Digital Age*
14. [Weakly Supervised Semantic Parsing by Learning from Mistakes](https://aclanthology.org/2021.findings-emnlp.222/) *— 2021 · Findings of the Association for Computational Linguistics: EMNLP 2021*
15. [Assessing the Bilingual Knowledge Learned by Neural Machine Translation Models](https://arxiv.org/abs/2004.13270) *— 2020 · arXiv:2004.13270*
16. [Exemplar-Controllable Paraphrasing and Translation using Bitext](https://arxiv.org/abs/2010.05856) *— 2020 · arXiv:2010.05856*
17. [Good-Enough Compositional Data Augmentation](https://aclanthology.org/2020.acl-main.676/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
18. [On the Linguistic Representational Power of Neural Machine Translation Models](https://aclanthology.org/2020.cl-1.1/) *— 2020 · Computational Linguistics*
19. [THUMT: An Open-Source Toolkit for Neural Machine Translation](https://aclanthology.org/2020.amta-research.11/) *— 2020 · Proceedings of the 14th Conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
20. [Automatically Extracting Challenge Sets for Non-Local Phenomena in Neural Machine Translation](https://aclanthology.org/K19-1028/) *— 2019 · Proceedings of the 23rd Conference on Computational Natural Language Learning (CoNLL)*
21. [Evaluating Pronominal Anaphora in Machine Translation: An Evaluation Measure and a Test Suite](https://aclanthology.org/D19-1294/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
22. [Insertion-based Decoding with Automatically Inferred Generation Order](https://aclanthology.org/Q19-1042/) *— 2019 · Transactions of the Association for Computational Linguistics*
23. [Multi-Granularity Self-Attention for Neural Machine Translation](https://aclanthology.org/D19-1082/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
24. [Neural Machine Translation with Reordering Embeddings](https://aclanthology.org/P19-1174/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
25. [Syntactically Supervised Transformers for Faster Neural Machine Translation](https://aclanthology.org/P19-1122/) *— 2019 · Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics*
26. [Towards Linear Time Neural Machine Translation with Capsule Networks](https://aclanthology.org/D19-1074/) *— 2019 · Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)*
27. [Word Embedding-Based Automatic MT Evaluation Metric using Word Position Information](https://aclanthology.org/N19-1186/) *— 2019 · Proceedings of the 2019 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies, Volume 1 (Long and Short Papers)*
28. [A Call for Clarity in Reporting BLEU Scores](https://md.mova.elamur.ai/free/en/docs/papers/post-2018-call-clarity-reporting-bleu-scores/) *— our card · 2018 · Proceedings of the Third Conference on Machine Translation: Research Papers*
29. [Speeding Up Neural Machine Translation Decoding by Cube Pruning](https://aclanthology.org/D18-1460/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
30. [Top-down Tree Structured Decoding with Syntactic Connections for Neural Machine Translation and Parsing](https://aclanthology.org/D18-1037/) *— 2018 · Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing*
31. [Weakly Supervised Semantic Parsing with Abstract Examples](https://aclanthology.org/P18-1168/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
32. [AMR-to-text Generation with Synchronous Node Replacement Grammar](https://md.mova.elamur.ai/free/en/docs/papers/song-2017-amr-text-generation-synchronous-node/) *— our card · 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
33. [Chunk-Based Bi-Scale Decoder for Neural Machine Translation](https://aclanthology.org/P17-2092/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
34. [Deep Neural Machine Translation with Linear Associative Unit](https://aclanthology.org/P17-1013/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
35. [Discourse Structure in Machine Translation Evaluation](https://aclanthology.org/J17-4001/) *— 2017 · Computational Linguistics*
36. [Investigating Phrase-Based and Neural-Based Machine Translation on Low-Resource Settings](https://aclanthology.org/Y17-1051/) *— 2017 · Proceedings of the 31st Pacific Asia Conference on Language, Information and Computation*
37. [Neural System Combination for Machine Translation](https://aclanthology.org/P17-2060/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
38. [Sequence-to-Dependency Neural Machine Translation](https://aclanthology.org/P17-1065/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
39. [Towards Neural Machine Translation with Latent Tree Attention](https://aclanthology.org/W17-4303/) *— 2017 · Proceedings of the 2nd Workshop on Structured Prediction for Natural Language Processing*
40. [Towards String-To-Tree Neural Machine Translation](https://aclanthology.org/P17-2021/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
41. [Translating Phrases in Neural Machine Translation](https://aclanthology.org/D17-1149/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
42. [Translation Divergences in Chinese–English Machine Translation: An Empirical Investigation](https://md.mova.elamur.ai/free/en/docs/papers/deng-2017-translation-divergences-chinese-english-machine/) *— our card · 2017 · Computational Linguistics*
43. [Visualizing and Understanding Neural Machine Translation](https://aclanthology.org/P17-1106/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
44. [A Correlational Encoder Decoder Architecture for Pivot Based Sequence Generation](https://aclanthology.org/C16-1011/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers*
45. [Automatic Cross-Lingual Similarization of Dependency Grammars for Tree-based Machine Translation](https://md.mova.elamur.ai/free/en/docs/papers/jiang-2016-automatic-cross-lingual-similarization-dependency/) *— our card · 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
46. [Beyond Prefix-Based Interactive Translation Prediction](https://aclanthology.org/K16-1020/) *— 2016 · Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning*
47. [Combining Translation Memories and Syntax-Based SMT: Experiments with Real Industrial Data](https://aclanthology.org/W16-3406/) *— 2016 · Proceedings of the 19th Annual Conference of the European Association for Machine Translation*
48. [Cross-language Projection of Dependency Trees with Constrained Partial Parsing for Tree-to-Tree Machine Translation](https://aclanthology.org/W16-2201/) *— 2016 · Proceedings of the First Conference on Machine Translation: Volume 1, Research Papers*
49. [Discontinuous Verb Phrases in Parsing and Machine Translation of English and German](https://aclanthology.org/L16-1453/) *— 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)*
50. [Factoring Adjunction in Hierarchical Phrase-Based SMT](https://aclanthology.org/W16-6402/) *— 2016 · Proceedings of the 2nd Deep Machine Translation Workshop*
51. [Flexible Non-Terminals for Dependency Tree-to-Tree Reordering](https://aclanthology.org/N16-1002/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
52. [Insertion Position Selection Model for Flexible Non-Terminals in Dependency Tree-to-Tree Machine Translation](https://aclanthology.org/D16-1247/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
53. [Multi-Engine and Multi-Alignment Based Automatic Post-Editing and its Impact on Translation Productivity](https://aclanthology.org/C16-1241/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers*
54. [Multi30K: Multilingual English-German Image Descriptions](https://arxiv.org/abs/1605.00459) *— 2016 · arXiv:1605.00459*
55. [Neural Network-Based Abstract Generation for Opinions and Arguments](https://aclanthology.org/N16-1007/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
56. [Semi-Supervised Learning for Neural Machine Translation](https://aclanthology.org/P16-1185/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
57. [Surveys: A Survey of Word Reordering in Statistical Machine Translation: Computational Models and Language Phenomena](https://aclanthology.org/J16-2001/) *— 2016 · Computational Linguistics*
58. [The QT21/HimL Combined Machine Translation System](https://aclanthology.org/W16-2320/) *— 2016 · Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers*
59. [Topic-Informed Neural Machine Translation](https://aclanthology.org/C16-1170/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers*
60. [USAAR: An Operation Sequential Model for Automatic Statistical Post-Editing](https://aclanthology.org/W16-2379/) *— 2016 · Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers*
61. [papago: A Machine Translation Service with Word Sense Disambiguation and Currency Conversion](https://aclanthology.org/C16-2039/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: System Demonstrations*
62. [A Comparison of Update Strategies for Large-Scale Maximum Expected BLEU Training](https://aclanthology.org/N15-1175/) *— 2015 · Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
63. [A Dependency-to-String Model for Chinese-Japanese SMT System](https://aclanthology.org/W15-5010/) *— 2015 · Proceedings of the 2nd Workshop on Asian Translation (WAT2015)*
64. [Abu-MaTran at WMT 2015 Translation Task: Morphological Segmentation and Web Crawling](https://aclanthology.org/W15-3022/) *— 2015 · Proceedings of the Tenth Workshop on Statistical Machine Translation*
65. [Conceptual Annotations Preserve Structure Across Translations: A French-English Case Study](https://aclanthology.org/W15-3502/) *— 2015 · Proceedings of the 1st Workshop on Semantics-Driven Statistical Machine Translation (S2MT 2015)*
66. [Connotation in Translation](https://aclanthology.org/W15-2903/) *— 2015 · Proceedings of the 6th Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis*
67. [Cross-language Projection of Dependency Trees for Tree-to-tree Machine Translation](https://aclanthology.org/Y15-2010/) *— 2015 · Proceedings of the 29th Pacific Asia Conference on Language, Information and Computation: Posters*
68. [Dependency Graph-to-String Translation](https://aclanthology.org/D15-1004/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
69. [Harmonizing word alignments and syntactic structures for extracting phrasal translation equivalents](https://aclanthology.org/W15-1001/) *— 2015 · Proceedings of the Ninth Workshop on Syntax, Semantics and Structure in Statistical Translation*
70. [Hierarchical Statistical Semantic Realization for Minimal Recursion Semantics](https://aclanthology.org/W15-0116/) *— 2015 · Proceedings of the 11th International Conference on Computational Semantics*
71. [Improving Chinese Grammatical Error Correction with Corpus Augmentation and Hierarchical Phrase-based Statistical Machine Translation](https://aclanthology.org/W15-4417/) *— 2015 · Proceedings of the 2nd Workshop on Natural Language Processing Techniques for Educational Applications*
72. [Integrating Case Frame into Japanese to Chinese Hierarchical Phrase-based Translation Model](https://aclanthology.org/W15-3503/) *— 2015 · Proceedings of the 1st Workshop on Semantics-Driven Statistical Machine Translation (S2MT 2015)*
73. [Investigating the potential of post-ordering SMT output to improve translation quality](https://aclanthology.org/W15-5950/) *— 2015 · Proceedings of the 12th International Conference on Natural Language Processing*
74. [Language to Code: Learning Semantic Parsers for If-This-Then-That Recipes](https://aclanthology.org/P15-1085/) *— 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
75. [Learning Translation Models from Monolingual Continuous Representations](https://aclanthology.org/N15-1176/) *— 2015 · Proceedings of the 2015 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
76. [Learning Word Reorderings for Hierarchical Phrase-based Statistical Machine Translation](https://aclanthology.org/P15-2089/) *— 2015 · Proceedings of the 53rd Annual Meeting of the Association for Computational Linguistics and the 7th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
77. [MT Tuning on RED: A Dependency-Based Evaluation Metric](https://aclanthology.org/W15-3055/) *— 2015 · Proceedings of the Tenth Workshop on Statistical Machine Translation*
78. [Minimum Risk Training for Neural Machine Translation](https://arxiv.org/abs/1512.02433) *— 2015 · arXiv:1512.02433*
79. [Modelling the Adjunct/Argument Distinction in Hierarchical Phrase-Based SMT](https://aclanthology.org/W15-5701/) *— 2015 · Proceedings of the 1st Deep Machine Translation Workshop*
80. [NAVER Machine Translation System for WAT 2015](https://aclanthology.org/W15-5008/) *— 2015 · Proceedings of the 2nd Workshop on Asian Translation (WAT2015)*
81. [On Using Monolingual Corpora in Neural Machine Translation](https://arxiv.org/abs/1503.03535) *— 2015 · arXiv:1503.03535*
82. [Patent claim translation based on sublanguage-specific sentence structure](https://aclanthology.org/2015.mtsummit-papers.1/) *— 2015 · Proceedings of Machine Translation Summit XV: Papers*
83. [Use of Modality and Negation in Semantically-Informed Syntactic MT](https://arxiv.org/abs/1502.01682) *— 2015 · arXiv:1502.01682 · Computational Linguistics, 38(2):411-438, 2012*
84. [Well-Formed Dependency to String translation with BTG Grammar](https://aclanthology.org/Y15-1032/) *— 2015 · Proceedings of the 29th Pacific Asia Conference on Language, Information and Computation*
85. [A Sense-Based Translation Model for Statistical Machine Translation](https://aclanthology.org/P14-1137/) *— 2014 · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
86. [Augmenting String-to-Tree and Tree-to-String Translation with Non-Syntactic Phrases](https://aclanthology.org/W14-3362/) *— 2014 · Proceedings of the Ninth Workshop on Statistical Machine Translation*
87. [Bilingual Markov Reordering Labels for Hierarchical SMT](https://aclanthology.org/W14-4002/) *— 2014 · Proceedings of SSST-8, Eighth Workshop on Syntax, Semantics and Structure in Statistical Translation*
88. [Bilingual Sentiment Consistency for Statistical Machine Translation](https://aclanthology.org/E14-1064/) *— 2014 · Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics*
89. [Dynamic phrase tables for machine translation in an interactive post-editing scenario](https://aclanthology.org/2014.amta-workshop.3/) *— 2014 · Workshop on interactive and adaptive machine translation*
90. [Dynamically Integrating Cross-Domain Translation Memory into Phrase-Based Machine Translation during Decoding](https://aclanthology.org/C14-1039/) *— 2014 · Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers*
91. [Effective Incorporation of Source Syntax into Hierarchical Phrase-based Translation](https://aclanthology.org/C14-1195/) *— 2014 · Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers*
92. [Effective Selection of Translation Model Training Data](https://aclanthology.org/P14-2093/) *— 2014 · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
93. [Enhancing Grammatical Cohesion: Generating Transitional Expressions for SMT](https://aclanthology.org/P14-1080/) *— 2014 · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
94. [Hierarchical MT Training using Max-Violation Perceptron](https://aclanthology.org/P14-2127/) *— 2014 · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
95. [Learning Hierarchical Translation Spans](https://aclanthology.org/D14-1022/) *— 2014 · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
96. [Phrase Dependency Machine Translation with Quasi-Synchronous Tree-to-Tree Features](https://aclanthology.org/J14-2005/) *— 2014 · Computational Linguistics*
97. [Reordering Model for Forest-to-String Machine Translation](https://aclanthology.org/D14-1029/) *— 2014 · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
98. [Sampling Tree Fragments from Forests](https://aclanthology.org/J14-1007/) *— 2014 · Computational Linguistics*
99. [Simple and Effective Approach for Consistent Training of Hierarchical Phrase-based Translation Models](https://aclanthology.org/E14-4034/) *— 2014 · Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics, volume 2: Short Papers*
100. [Syntactic SMT Using a Discriminative Text Generation Model](https://aclanthology.org/D14-1021/) *— 2014 · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)*

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