[Mova](https://md.mova.elamur.ai/free/en/) · [this page in HTML](https://mova.elamur.ai/free/en/docs/papers/cited-by/graehl-2004-training-tree-transducers/)

[home](https://md.mova.elamur.ai/free/en/) / [docs](https://md.mova.elamur.ai/free/en/docs/) / [papers](https://md.mova.elamur.ai/free/en/docs/papers/) / [cited-by](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/) / Who cites «Training Tree Transducers»

# Who cites «Training Tree Transducers»

53 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/graehl-2004-training-tree-transducers/)

1. [Modeling Graph Structure in Transformer for Better AMR-to-Text Generation](https://aclanthology.org/D19-1548/) *— 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)*
2. [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)*
3. [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*
4. [Generation from Abstract Meaning Representation using Tree Transducers](https://md.mova.elamur.ai/free/en/docs/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*
5. [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*
6. [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)*
7. [Neural Reranking Improves Subjective Quality of Machine Translation: NAIST at WAT2015](https://aclanthology.org/W15-5003/) *— 2015 · Proceedings of the 2nd Workshop on Asian Translation (WAT2015)*
8. [Bimorphisms and synchronous grammars](https://md.mova.elamur.ai/free/en/docs/papers/shieber-2014-bimorphisms-synchronous-grammars/) *— our card · 2014 · Journal of Language Modelling*
9. [On the Elements of an Accurate Tree-to-String Machine Translation System](https://aclanthology.org/P14-2024/) *— 2014 · Proceedings of the 52nd Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
10. [Translation Rules with Right-Hand Side Lattices](https://aclanthology.org/D14-1063/) *— 2014 · Proceedings of the 2014 Conference on Empirical Methods in Natural Language Processing (EMNLP)*
11. [Shift-Reduce Word Reordering for Machine Translation](https://aclanthology.org/D13-1139/) *— 2013 · Proceedings of the 2013 Conference on Empirical Methods in Natural Language Processing*
12. [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*
13. [Travatar: A Forest-to-String Machine Translation Engine based on Tree Transducers](https://aclanthology.org/P13-4016/) *— 2013 · Proceedings of the 51st Annual Meeting of the Association for Computational Linguistics: System Demonstrations*
14. [Hierarchical Chunk-to-String Translation](https://aclanthology.org/P12-1100/) *— 2012 · Proceedings of the 50th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
15. [Semantics-Based Machine Translation with Hyperedge Replacement Grammars](https://md.mova.elamur.ai/free/en/docs/papers/jones-2012-semantics-based-machine-translation-hyperedge/) *— our card · 2012 · Proceedings of COLING 2012*
16. [Tree-based Translation without using Parse Trees](https://aclanthology.org/C12-1186/) *— 2012 · Proceedings of COLING 2012*
17. [Binarized Forest to String Translation](https://aclanthology.org/P11-1084/) *— 2011 · Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies*
18. [Incremental Syntactic Language Models for Phrase-based Translation](https://aclanthology.org/P11-1063/) *— 2011 · Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies*
19. [Post-ordering in Statistical Machine Translation](https://aclanthology.org/2011.mtsummit-papers.36/) *— 2011 · Proceedings of Machine Translation Summit XIII: Papers*
20. [A Tree Transducer Model for Synchronous Tree-Adjoining Grammars](https://md.mova.elamur.ai/free/en/docs/papers/maletti-2010-tree-transducer-model-synchronous-tree/) *— our card · 2010 · Proceedings of the 48th Annual Meeting of the Association for Computational Linguistics*
21. [Discriminative Induction of Sub-Tree Alignment using Limited Labeled Data](https://aclanthology.org/C10-1118/) *— 2010 · Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010)*
22. [Divide and Translate: Improving Long Distance Reordering in Statistical Machine Translation](https://aclanthology.org/W10-1762/) *— 2010 · Proceedings of the Joint Fifth Workshop on Statistical Machine Translation and MetricsMATR*
23. [Parsing and Translation Algorithms Based on Weighted Extended Tree Transducers](https://aclanthology.org/W10-2503/) *— 2010 · Proceedings of the 2010 Workshop on Applications of Tree Automata in Natural Language Processing*
24. [Semantic Role Features for Machine Translation](https://aclanthology.org/C10-1081/) *— 2010 · Proceedings of the 23rd International Conference on Computational Linguistics (Coling 2010)*
25. [String-to-Dependency Statistical Machine Translation](https://aclanthology.org/J10-4005/) *— 2010 · Computational Linguistics*
26. [Bayesian Learning of Phrasal Tree-to-String Templates](https://aclanthology.org/D09-1136/) *— 2009 · Proceedings of the 2009 Conference on Empirical Methods in Natural Language Processing*
27. [A New String-to-Dependency Machine Translation Algorithm with a Target Dependency Language Model](https://md.mova.elamur.ai/free/en/docs/papers/shen-2008-new-string-dependency-machine-translation/) *— our card · 2008 · Proceedings of ACL-08: HLT*
28. [A Tree Sequence Alignment-based Tree-to-Tree Translation Model](https://aclanthology.org/P08-1064/) *— 2008 · Proceedings of ACL-08: HLT*
29. [Advanced Dynamic Programming in Semiring and Hypergraph Frameworks](https://aclanthology.org/C08-5001/) *— 2008 · Coling 2008: Advanced Dynamic Programming in Computational Linguistics: Theory, Algorithms and Applications - Tutorial notes*
30. [Cohesive Phrase-Based Decoding for Statistical Machine Translation](https://aclanthology.org/P08-1009/) *— 2008 · Proceedings of ACL-08: HLT*
31. [Generalizing Local and Non-Local Word-Reordering Patterns for Syntax-Based Machine Translation](https://aclanthology.org/D08-1060/) *— 2008 · Proceedings of the 2008 Conference on Empirical Methods in Natural Language Processing*
32. [Improved Tree-to-String Transducer for Machine Translation](https://aclanthology.org/W08-0308/) *— 2008 · Proceedings of the Third Workshop on Statistical Machine Translation*
33. [Regular Tree Grammars as a Formalism for Scope Underspecification](https://aclanthology.org/P08-1026/) *— 2008 · Proceedings of ACL-08: HLT*
34. [A tree-to-tree alignment-based model for statistical machine translation](https://aclanthology.org/2007.mtsummit-papers.71/) *— 2007 · Proceedings of Machine Translation Summit XI: Papers*
35. [Binarizing Syntax Trees to Improve Syntax-Based Machine Translation Accuracy](https://aclanthology.org/D07-1078/) *— 2007 · Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)*
36. [Chunk-Level Reordering of Source Language Sentences with Automatically Learned Rules for Statistical Machine Translation](https://aclanthology.org/W07-0401/) *— 2007 · Proceedings of SSST, NAACL-HLT 2007 / AMTA Workshop on Syntax and Structure in Statistical Translation*
37. [Syntactic Re-Alignment Models for Machine Translation](https://aclanthology.org/D07-1038/) *— 2007 · Proceedings of the 2007 Joint Conference on Empirical Methods in Natural Language Processing and Computational Natural Language Learning (EMNLP-CoNLL)*
38. [Using Dependency Order Templates to Improve Generality in Translation](https://aclanthology.org/W07-0701/) *— 2007 · Proceedings of the Second Workshop on Statistical Machine Translation*
39. [A Discriminative Model for Tree-to-Tree Translation](https://aclanthology.org/W06-1628/) *— 2006 · Proceedings of the 2006 Conference on Empirical Methods in Natural Language Processing*
40. [A Syntax-Directed Translator with Extended Domain of Locality](https://aclanthology.org/W06-3601/) *— 2006 · Proceedings of the Workshop on Computationally Hard Problems and Joint Inference in Speech and Language Processing*
41. [Relabeling Syntax Trees to Improve Syntax-Based Machine Translation Quality](https://aclanthology.org/N06-1031/) *— 2006 · Proceedings of the Human Language Technology Conference of the NAACL, Main Conference*
42. [Scalable Inference and Training of Context-Rich Syntactic Translation Models](https://md.mova.elamur.ai/free/en/docs/papers/galley-2006-scalable-inference-training-context-rich/) *— our card · 2006 · Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics*
43. [Scalable Purely-Discriminative Training for Word and Tree Transducers](https://aclanthology.org/2006.amta-papers.28/) *— 2006 · Proceedings of the 7th Conference of the Association for Machine Translation in the Americas: Technical Papers*
44. [Statistical Syntax-Directed Translation with Extended Domain of Locality](https://md.mova.elamur.ai/free/en/docs/papers/huang-2006-statistical-syntax-directed-translation-extended/) *— our card · 2006 · Proceedings of the 7th Conference of the Association for Machine Translation in the Americas: Technical Papers*
45. [Tree-to-String Alignment Template for Statistical Machine Translation](https://md.mova.elamur.ai/free/en/docs/papers/liu-2006-tree-string-alignment-template-statistical/) *— our card · 2006 · Proceedings of the 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics*
46. [Clause Restructuring for Statistical Machine Translation](https://aclanthology.org/P05-1066/) *— 2005 · Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL'05)*
47. [Machine Translation Using Probabilistic Synchronous Dependency Insertion Grammars](https://md.mova.elamur.ai/free/en/docs/papers/ding-2005-machine-translation-probabilistic-synchronous-dependency/) *— our card · 2005 · Proceedings of the 43rd Annual Meeting of the Association for Computational Linguistics (ACL'05)*
48. [Practical Approach to Syntax-based Statistical Machine Translation](https://aclanthology.org/2005.mtsummit-papers.35/) *— 2005 · Proceedings of Machine Translation Summit X: Papers*
49. chen-2014-dependency-edge-based-transfer-model
50. langlais-2006-phrase-based-smt-shallow-tree
51. nederhof-2009-weighted-parsing-trees
52. sudoh-2013-ntt-naist-smt-systems-iwslt
53. wu-2009-uot-system
- [← previous Who cites «Recognizing Expressions of Commonsense Psychology in English Text»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/gordon-2003-recognizing-expressions-commonsense-psychology-english/)
- [next → Who cites «Construction of an English Dependency Corpus incorporating Compound Function Words»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/gram-2016-kato-construction-english-dependency-corpus-incorporating/)
- [↑ back to papers/cited-by/](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/)