---
title: "Who cites What's in a translation rule?"
description: "The papers of the Elamur Research library that cite «What's in a translation rule?», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/galley-2004-what-s-translation-rule/cited-by/"
---
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# Who cites «What's in a translation rule?»

272 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.research.elamur.ai/free/en/papers/galley-2004-what-s-translation-rule/)

Pages: **1** · [2](https://md.research.elamur.ai/free/en/papers/galley-2004-what-s-translation-rule/cited-by/page/2/) · [3](https://md.research.elamur.ai/free/en/papers/galley-2004-what-s-translation-rule/cited-by/page/3/)

1. [MedCOD: Enhancing English-to-Spanish Medical Translation of Large Language Models Using Enriched Chain-of-Dictionary Framework](https://aclanthology.org/2025.findings-emnlp.350/) *— 2025 · Findings of the Association for Computational Linguistics: EMNLP 2025*
2. [First Tragedy, then Parse: History Repeats Itself in the New Era of Large Language Models](https://aclanthology.org/2024.naacl-long.128/) *— 2024 · Proceedings of the 2024 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 1: Long Papers)*
3. [Extended Parallel Corpus for Amharic-English Machine Translation](https://aclanthology.org/2022.lrec-1.716/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
4. [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*
5. [Dependency Graph-to-String Statistical Machine Translation](https://arxiv.org/abs/2103.11089) *— 2021 · arXiv:2103.11089*
6. [Neural Syntactic Preordering for Controlled Paraphrase Generation](https://aclanthology.org/2020.acl-main.22/) *— 2020 · Proceedings of the 58th Annual Meeting of the Association for Computational Linguistics*
7. [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)*
8. [Graph-to-Sequence Learning using Gated Graph Neural Networks](https://aclanthology.org/P18-1026/) *— 2018 · Proceedings of the 56th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
9. [On the Impact of Various Types of Noise on Neural Machine Translation](https://aclanthology.org/W18-2709/) *— 2018 · Proceedings of the 2nd Workshop on Neural Machine Translation and Generation*
10. [Book Review: Syntax-Based Statistical Machine Translation by Philip Williams, Rico Sennrich, Matt Post and Philipp Koehn](https://aclanthology.org/J17-4006/) *— 2017 · Computational Linguistics*
11. [Discourse Structure in Machine Translation Evaluation](https://aclanthology.org/J17-4001/) *— 2017 · Computational Linguistics*
12. [Incorporating Word Reordering Knowledge into Attention-based Neural Machine Translation](https://aclanthology.org/P17-1140/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
13. [Predicting Target Language CCG Supertags Improves Neural Machine Translation](https://aclanthology.org/W17-4707/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
14. [Six Challenges for Neural Machine Translation](https://aclanthology.org/W17-3204/) *— 2017 · Proceedings of the First Workshop on Neural Machine Translation*
15. [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)*
16. [Translation Divergences in Chinese–English Machine Translation: An Empirical Investigation](https://md.research.elamur.ai/free/en/papers/deng-2017-translation-divergences-chinese-english-machine/) *— our card · 2017 · Computational Linguistics*
17. [A Continuous Space Rule Selection Model for Syntax-based Statistical Machine Translation](https://aclanthology.org/P16-1130/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
18. [A Neural Verb Lexicon Model with Source-side Syntactic Context for String-to-Tree Machine Translation](https://aclanthology.org/2016.iwslt-1.11/) *— 2016 · Proceedings of the 13th International Conference on Spoken Language Translation*
19. [Edinburgh's Statistical Machine Translation Systems for WMT16](https://aclanthology.org/W16-2327/) *— 2016 · Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers*
20. [Efficient techniques for parsing with tree automata](https://aclanthology.org/P16-1192/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
21. [Extending Phrase-Based Translation with Dependencies by Using Graphs](https://aclanthology.org/W16-0602/) *— 2016 · Proceedings of the 2nd Workshop on Semantics-Driven Machine Translation (SedMT 2016)*
22. [Generation from Abstract Meaning Representation using Tree Transducers](https://md.research.elamur.ai/free/en/papers/flanigan-2016-generation-abstract-meaning-representation-tree/) *— our card · 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
23. [Graph-Based Translation Via Graph Segmentation](https://aclanthology.org/P16-1010/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
24. [Learning Translations for Tagged Words: Extending the Translation Lexicon of an ITG for Low Resource Languages](https://aclanthology.org/W16-1207/) *— 2016 · Proceedings of the Workshop on Multilingual and Cross-lingual Methods in NLP*
25. [Rule Extraction for Tree-to-Tree Transducers by Cost Minimization](https://aclanthology.org/D16-1002/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
26. [Simple, Fast Noise-Contrastive Estimation for Large RNN Vocabularies](https://aclanthology.org/N16-1145/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
27. [Surveys: A Survey of Word Reordering in Statistical Machine Translation: Computational Models and Language Phenomena](https://aclanthology.org/J16-2001/) *— 2016 · Computational Linguistics*
28. [Transfer Learning for Low-Resource Neural Machine Translation](https://aclanthology.org/D16-1163/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
29. [A Discriminative Model for Semantics-to-String Translation](https://aclanthology.org/W15-3504/) *— 2015 · Proceedings of the 1st Workshop on Semantics-Driven Statistical Machine Translation (S2MT 2015)*
30. [A systematic evaluation of MBOT in statistical machine translation](https://aclanthology.org/2015.mtsummit-papers.16/) *— 2015 · Proceedings of Machine Translation Summit XV: Papers*
31. [An Empirical Comparison Between N-gram and Syntactic Language Models for Word Ordering](https://aclanthology.org/D15-1043/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
32. [Analyzing Optimization for Statistical Machine Translation: MERT Learns Verbosity, PRO Learns Length](https://aclanthology.org/K15-1007/) *— 2015 · Proceedings of the Nineteenth Conference on Computational Natural Language Learning*
33. [Discontinuous Statistical Machine Translation with Target-Side Dependency Syntax](https://aclanthology.org/W15-3029/) *— 2015 · Proceedings of the Tenth Workshop on Statistical Machine Translation*
34. [Edinburgh's Syntax-Based Systems at WMT 2015](https://aclanthology.org/W15-3024/) *— 2015 · Proceedings of the Tenth Workshop on Statistical Machine Translation*
35. [Encoding Source Language with Convolutional Neural Network for Machine Translation](https://aclanthology.org/P15-1003/) *— 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)*
36. [Extended Tree Transducers in Natural Language Processing](https://aclanthology.org/W15-4801/) *— 2015 · Proceedings of the 12th International Conference on Finite-State Methods and Natural Language Processing 2015 (FSMNLP 2015 Düsseldorf)*
37. [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*
38. [Machine Translation for Multilingual Troubleshooting in the IT Domain: A Comparison of Different Strategies](https://aclanthology.org/W15-5713/) *— 2015 · Proceedings of the 1st Deep Machine Translation Workshop*
39. [Parsing English into Abstract Meaning Representation Using Syntax-Based Machine Translation](https://aclanthology.org/D15-1136/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
40. [Rule Selection with Soft Syntactic Features for String-to-Tree Statistical Machine Translation](https://aclanthology.org/D15-1129/) *— 2015 · Proceedings of the 2015 Conference on Empirical Methods in Natural Language Processing*
41. [Semantic Parsing of Ambiguous Input through Paraphrasing and Verification](https://aclanthology.org/Q15-1041/) *— 2015 · Transactions of the Association for Computational Linguistics*
42. [String-to-Tree Multi Bottom-up Tree Transducers](https://aclanthology.org/P15-1079/) *— 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)*
43. [Translating Electronic Health Record Notes from English to Spanish: A Preliminary Study](https://aclanthology.org/W15-3816/) *— 2015 · Proceedings of BioNLP 15*
44. [Using Syntax-Based Machine Translation to Parse English into Abstract Meaning Representation](https://arxiv.org/abs/1504.06665) *— 2015 · arXiv:1504.06665*
45. [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*
46. [A CYK+ Variant for SCFG Decoding Without a Dot Chart](https://aclanthology.org/W14-4011/) *— 2014 · Proceedings of SSST-8, Eighth Workshop on Syntax, Semantics and Structure in Statistical Translation*
47. [A Structured Language Model for Incremental Tree-to-String Translation](https://aclanthology.org/C14-1107/) *— 2014 · Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers*
48. [Aligning English Strings with Abstract Meaning Representation Graphs](https://md.research.elamur.ai/free/en/papers/pourdamghani-2014-aligning-english-strings-abstract-meaning/) *— our card · 2014 · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
49. [Assessing the Discourse Factors that Influence the Quality of Machine Translation](https://aclanthology.org/P14-2047/) *— 2014 · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
50. [Augment Dependency-to-String Translation with Fixed and Floating Structures](https://aclanthology.org/C14-1209/) *— 2014 · Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers*
51. [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*
52. [Bimorphisms and synchronous grammars](https://md.research.elamur.ai/free/en/papers/shieber-2014-bimorphisms-synchronous-grammars/) *— our card · 2014 · Journal of Language Modelling*
53. [Building a Hierarchically Aligned Chinese-English Parallel Treebank](https://aclanthology.org/C14-1143/) *— 2014 · Proceedings of COLING 2014, the 25th International Conference on Computational Linguistics: Technical Papers*
54. [CimS – The CIS and IMS joint submission to WMT 2014 translating from English into German](https://aclanthology.org/W14-3305/) *— 2014 · Proceedings of the Ninth Workshop on Statistical Machine Translation*
55. [Combined spoken language translation](https://aclanthology.org/2014.iwslt-evaluation.7/) *— 2014 · Proceedings of the 11th International Workshop on Spoken Language Translation: Evaluation Campaign*
56. [Comparing Representations of Semantic Roles for String-To-Tree Decoding](https://aclanthology.org/D14-1188/) *— 2014 · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
57. [EU-BRIDGE MT: Combined Machine Translation](https://aclanthology.org/W14-3310/) *— 2014 · Proceedings of the Ninth Workshop on Statistical Machine Translation*
58. [Edinburgh SLT and MT system description for the IWSLT 2014 evaluation](https://aclanthology.org/2014.iwslt-evaluation.6/) *— 2014 · Proceedings of the 11th International Workshop on Spoken Language Translation: Evaluation Campaign*
59. [Edinburgh's Syntax-Based Systems at WMT 2014](https://aclanthology.org/W14-3324/) *— 2014 · Proceedings of the Ninth Workshop on Statistical Machine Translation*
60. [Estimating Word Alignment Quality for SMT Reordering Tasks](https://aclanthology.org/W14-3334/) *— 2014 · Proceedings of the Ninth Workshop on Statistical Machine Translation*
61. [Improving Statistical Machine Translation Accuracy Using Bilingual Lexicon Extractionwith Paraphrases](https://aclanthology.org/Y14-1032/) *— 2014 · Proceedings of the 28th Pacific Asia Conference on Language, Information and Computing*
62. [Japanese-to-English patent translation system based on domain-adapted word segmentation and post-ordering](https://aclanthology.org/2014.amta-researchers.18/) *— 2014 · Proceedings of the 11th Conference of the Association for Machine Translation in the Americas: MT Researchers Track*
63. [Large-scale CCG Induction from the Groningen Meaning Bank](https://aclanthology.org/W14-2403/) *— 2014 · Proceedings of the ACL 2014 Workshop on Semantic Parsing*
64. [Large-scale Expected BLEU Training of Phrase-based Reordering Models](https://aclanthology.org/D14-1132/) *— 2014 · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
65. [Latent-Variable Synchronous CFGs for Hierarchical Translation](https://aclanthology.org/D14-1210/) *— 2014 · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
66. [NTT-NAIST syntax-based SMT systems for IWSLT 2014](https://aclanthology.org/2014.iwslt-evaluation.18/) *— 2014 · Proceedings of the 11th International Workshop on Spoken Language Translation: Evaluation Campaign*
67. [PARADIGM: Paraphrase Diagnostics through Grammar Matching](https://aclanthology.org/E14-1021/) *— 2014 · Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics*
68. [Preference Grammars and Soft Syntactic Constraints for GHKM Syntax-based Statistical Machine Translation](https://aclanthology.org/W14-4018/) *— 2014 · Proceedings of SSST-8, Eighth Workshop on Syntax, Semantics and Structure in Statistical Translation*
69. [Pushdown Automata in Statistical Machine Translation](https://aclanthology.org/J14-3008/) *— 2014 · Computational Linguistics*
70. [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)*
71. [Sampling Tree Fragments from Forests](https://aclanthology.org/J14-1007/) *— 2014 · Computational Linguistics*
72. [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)*
73. [Using Discourse Structure Improves Machine Translation Evaluation](https://aclanthology.org/P14-1065/) *— 2014 · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
74. [Using Feature Structures to Improve Verb Translation in English-to-German Statistical MT](https://aclanthology.org/W14-1005/) *— 2014 · Proceedings of the 3rd Workshop on Hybrid Approaches to Machine Translation (HyTra)*
75. [Using noun class information to model selectional preferences for translating prepositions in SMT](https://aclanthology.org/2014.amta-researchers.21/) *— 2014 · Proceedings of the 11th Conference of the Association for Machine Translation in the Americas: MT Researchers Track*
76. [A Dependency-Constrained Hierarchical Model with Moses](https://aclanthology.org/W13-2259/) *— 2013 · Proceedings of the Eighth Workshop on Statistical Machine Translation*
77. [A Tree Transducer Model for Grammatical Error Correction](https://aclanthology.org/W13-3606/) *— 2013 · Proceedings of the Seventeenth Conference on Computational Natural Language Learning: Shared Task*
78. [Distortion Model Considering Rich Context for Statistical Machine Translation](https://aclanthology.org/P13-1016/) *— 2013 · Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
79. [Edinburgh's Syntax-Based Machine Translation Systems](https://aclanthology.org/W13-2221/) *— 2013 · Proceedings of the Eighth Workshop on Statistical Machine Translation*
80. [Factored Soft Source Syntactic Constraints for Hierarchical Machine Translation](https://aclanthology.org/D13-1053/) *— 2013 · Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing*
81. [Flexible and Efficient Hypergraph Interactions for Joint Hierarchical and Forest-to-String Decoding](https://aclanthology.org/D13-1052/) *— 2013 · Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing*
82. [General binarization for parsing and translation](https://aclanthology.org/P13-1015/) *— 2013 · Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
83. [Improving Syntax-Augmented Machine Translation by Coarsening the Label Set](https://aclanthology.org/N13-1029/) *— 2013 · Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
84. [Influence of Part-of-Speech and Phrasal Category Universal Tag-set in Tree-to-Tree Translation Models](https://aclanthology.org/I13-1116/) *— 2013 · Proceedings of the Sixth International Joint Conference on Natural Language Processing*
85. [Large-scale Word Alignment Using Soft Dependency Cohesion Constraints](https://aclanthology.org/Q13-1024/) *— 2013 · Transactions of the Association for Computational Linguistics*
86. [Learning to Prune: Context-Sensitive Pruning for Syntactic MT](https://aclanthology.org/P13-2063/) *— 2013 · Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
87. [Multilingual Joint Parsing of Syntactic and Semantic Dependencies with a Latent Variable Model](https://aclanthology.org/J13-4006/) *— 2013 · Computational Linguistics*
88. [Semantic Roles for String to Tree Machine Translation](https://aclanthology.org/P13-2074/) *— 2013 · Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
89. [Shallow Local Multi-Bottom-up Tree Transducers in Statistical Machine Translation](https://aclanthology.org/P13-1080/) *— 2013 · Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
90. [Source-Side Classifier Preordering for Machine Translation](https://aclanthology.org/D13-1049/) *— 2013 · Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing*
91. [Training MRF-Based Phrase Translation Models using Gradient Ascent](https://aclanthology.org/N13-1048/) *— 2013 · Proceedings of the 2013 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
92. [Translation with Source Constituency and Dependency Trees](https://aclanthology.org/D13-1108/) *— 2013 · Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing*
93. [Unsupervised Tree Induction for Tree-based Translation](https://aclanthology.org/Q13-1020/) *— 2013 · Transactions of the Association for Computational Linguistics*
94. [Using subcategorization knowledge to improve case prediction for translation to German](https://aclanthology.org/P13-1058/) *— 2013 · Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
95. [A Bayesian Model for Learning SCFGs with Discontiguous Rules](https://aclanthology.org/D12-1021/) *— 2012 · Proceedings of the 2012 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning*
96. [A Beam Search Algorithm for ITG Word Alignment](https://aclanthology.org/C12-2066/) *— 2012 · Proceedings of COLING 2012: Posters*
97. [A Detailed Analysis of Phrase-based and Syntax-based MT: The Search for Systematic Differences](https://aclanthology.org/2012.amta-papers.27/) *— 2012 · Proceedings of the 10th Conference of the Association for Machine Translation in the Americas: Research Papers*
98. [Akamon: An Open Source Toolkit for Tree/Forest-Based Statistical Machine Translation](https://aclanthology.org/P12-3022/) *— 2012 · Proceedings of the ACL 2012 System Demonstrations*
99. [Automatic Parallel Fragment Extraction from Noisy Data](https://aclanthology.org/N12-1061/) *— 2012 · Proceedings of the 2012 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
100. [Bayesian Symbol-Refined Tree Substitution Grammars for Syntactic Parsing](https://aclanthology.org/P12-1046/) *— 2012 · Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*

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