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# Who cites «A Study of Translation Edit Rate with Targeted Human Annotation» · page 7

1514 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/snover-2006-study-translation-edit-rate-targeted/)

Pages: [1](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted/) · [2](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-2/) · [3](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-3/) · [4](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-4/) · [5](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-5/) · [6](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-6/) · **7** · [8](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-8/) · [9](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-9/) · [10](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-10/) · [11](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-11/) · [12](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-12/) · [13](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-13/) · [14](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-14/) · [15](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-15/) · [16](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/snover-2006-study-translation-edit-rate-targeted-16/)

1. [Graph Convolutional Encoders for Syntax-aware Neural Machine Translation](https://aclanthology.org/D17-1209/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
2. [Human Evaluation of Multi-modal Neural Machine Translation: A Case-Study on E-Commerce Listing Titles](https://aclanthology.org/W17-2004/) *— 2017 · Proceedings of the Sixth Workshop on Vision and Language*
3. [Hybrid Neural Network Alignment and Lexicon Model in Direct HMM for Statistical Machine Translation](https://aclanthology.org/P17-2020/) *— 2017 · Proceedings of the 55th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
4. [Improving Machine Translation Quality Estimation with Neural Network Features](https://aclanthology.org/W17-4761/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
5. [Incorporating Global Visual Features into Attention-Based Neural Machine Translation](https://arxiv.org/abs/1701.06521) *— 2017 · arXiv:1701.06521*
6. [Integrating Meaning into Quality Evaluation of Machine Translation](https://aclanthology.org/E17-1020/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers*
7. [Japanese to English/Chinese/Korean Datasets for Translation Quality Estimation and Automatic Post-Editing](https://aclanthology.org/W17-5705/) *— 2017 · Proceedings of the 4th Workshop on Asian Translation (WAT2017)*
8. [LEPOR: An Augmented Machine Translation Evaluation Metric](https://arxiv.org/abs/1703.08748) *— 2017 · arXiv:1703.08748 · University of Macau Library. MSc. Thesis. 2014. https://library2.um.edu.mo/etheses/b33358400_ft.pdf*
9. [LIG-CRIStAL Submission for the WMT 2017 Automatic Post-Editing Task](https://aclanthology.org/W17-4772/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
10. [Learning Bilingual Projections of Embeddings for Vocabulary Expansion in Machine Translation](https://aclanthology.org/W17-2617/) *— 2017 · Proceedings of the 2nd Workshop on Representation Learning for NLP*
11. [Learning How to Simplify From Explicit Labeling of Complex-Simplified Text Pairs](https://md.mova.elamur.ai/free/en/docs/papers/manchego-2017-learning-how-simplify-explicit-labeling/) *— our card · 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
12. [Linguistic realisation as machine translation: Comparing different MT models for AMR-to-text generation](https://md.mova.elamur.ai/free/en/docs/papers/ferreira-2017-linguistic-realisation-as-machine-translation/) *— our card · 2017 · Proceedings of the 10th International Conference on Natural Language Generation*
13. [MEANT 2.0: Accurate semantic MT evaluation for any output language](https://md.mova.elamur.ai/free/en/docs/papers/lo-2017-meant-2-0-accurate-semantic/) *— our card · 2017 · Proceedings of the Second Conference on Machine Translation*
14. [Machine Translation Evaluation with Neural Networks](https://arxiv.org/abs/1710.02095) *— 2017 · arXiv:1710.02095 · Computer Speech & Language 45: 180-200 (2017)*
15. [NMT or SMT: Case Study of a Narrow-domain English-Latvian Post-editing Project](https://aclanthology.org/I17-1038/) *— 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
16. [Online Automatic Post-editing for MT in a Multi-Domain Translation Environment](https://aclanthology.org/E17-1050/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers*
17. [Predicting Translation Performance with Referential Translation Machines](https://aclanthology.org/W17-4759/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
18. [Pushing the Limits of Translation Quality Estimation](https://aclanthology.org/Q17-1015/) *— 2017 · Transactions of the Association for Computational Linguistics*
19. [Re-evaluating Automatic Metrics for Image Captioning](https://aclanthology.org/E17-1019/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 1, Long Papers*
20. [Results of the WMT17 Metrics Shared Task](https://aclanthology.org/W17-4755/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
21. [SemEval-2017 Task 1: Semantic Textual Similarity Multilingual and Crosslingual Focused Evaluation](https://aclanthology.org/S17-2001/) *— 2017 · Proceedings of the 11th International Workshop on Semantic Evaluation (SemEval-2017)*
22. [Semantic Features Based on Word Alignments for Estimating Quality of Text Simplification](https://aclanthology.org/I17-2019/) *— 2017 · Proceedings of the Eighth International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
23. [Sentence Simplification with Deep Reinforcement Learning](https://aclanthology.org/D17-1062/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
24. [Target-side Word Segmentation Strategies for Neural Machine Translation](https://aclanthology.org/W17-4706/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
25. [The AMU-UEdin Submission to the WMT 2017 Shared Task on Automatic Post-Editing](https://aclanthology.org/W17-4774/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
26. [The RWTH Aachen University English-German and German-English Machine Translation System for WMT 2017](https://aclanthology.org/W17-4735/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
27. [The WebNLG Challenge: Generating Text from RDF Data](https://md.mova.elamur.ai/free/en/docs/papers/gardent-2017-webnlg-challenge-generating-text-rdf/) *— our card · 2017 · Proceedings of the 10th International Conference on Natural Language Generation*
28. [Tilde's Machine Translation Systems for WMT 2017](https://aclanthology.org/W17-4737/) *— 2017 · Proceedings of the Second Conference on Machine Translation*
29. [Translation Dictation vs. Post-editing with Cloud-based Voice Recognition: A Pilot Experiment](https://aclanthology.org/2017.mtsummit-commercial.13/) *— 2017 · Proceedings of Machine Translation Summit XVI: Commercial MT Users and Translators Track*
30. [Translation Quality and Productivity: A Study on Rich Morphology Languages](https://aclanthology.org/2017.mtsummit-papers.5/) *— 2017 · Proceedings of Machine Translation Summit XVI: Research Track*
31. [Treatment of Markup in Statistical Machine Translation](https://aclanthology.org/W17-4804/) *— 2017 · Proceedings of the Third Workshop on Discourse in Machine Translation*
32. [Using Images to Improve Machine-Translating E-Commerce Product Listings.](https://aclanthology.org/E17-2101/) *— 2017 · Proceedings of the 15th Conference of the European Chapter of the Association for Computational Linguistics: Volume 2, Short Papers*
33. [Using Target-side Monolingual Data for Neural Machine Translation through Multi-task Learning](https://aclanthology.org/D17-1158/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
34. [Why We Need New Evaluation Metrics for NLG](https://aclanthology.org/D17-1238/) *— 2017 · Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing*
35. [A Reading Comprehension Corpus for Machine Translation Evaluation](https://aclanthology.org/L16-1579/) *— 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)*
36. [A Recurrent Neural Networks Approach for Estimating the Quality of Machine Translation Output](https://aclanthology.org/N16-1059/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
37. [A Shared Task on Multimodal Machine Translation and Crosslingual Image Description](https://aclanthology.org/W16-2346/) *— 2016 · Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers*
38. [Adapting to All Domains at Once: Rewarding Domain Invariance in SMT](https://aclanthology.org/Q16-1008/) *— 2016 · Transactions of the Association for Computational Linguistics*
39. [Addressing Community Question Answering in English and Arabic](https://arxiv.org/abs/1610.05522) *— 2016 · arXiv:1610.05522*
40. [Alignment-Based Neural Machine Translation](https://aclanthology.org/W16-2206/) *— 2016 · Proceedings of the First Conference on Machine Translation: Volume 1, Research Papers*
41. [Beyond Prefix-Based Interactive Translation Prediction](https://aclanthology.org/K16-1020/) *— 2016 · Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning*
42. [Bilingual Embeddings and Word Alignments for Translation Quality Estimation](https://aclanthology.org/W16-2380/) *— 2016 · Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers*
43. [Building an Arabic Machine Translation Post-Edited Corpus: Guidelines and Annotation](https://aclanthology.org/L16-1295/) *— 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)*
44. [CATaLog Online: Porting a Post-editing Tool to the Web](https://aclanthology.org/L16-1095/) *— 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)*
45. [CUNI System for WMT16 Automatic Post-Editing and Multimodal Translation Tasks](https://aclanthology.org/W16-2361/) *— 2016 · Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers*
46. [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*
47. [ConvKN at SemEval-2016 Task 3: Answer and Question Selection for Question Answering on Arabic and English Fora](https://aclanthology.org/S16-1138/) *— 2016 · Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)*
48. [DTED: Evaluation of Machine Translation Structure Using Dependency Parsing and Tree Edit Distance](https://md.mova.elamur.ai/free/en/docs/papers/mccaffery-2016-dted-evaluation-machine-translation-structure/) *— our card · 2016 · Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers*
49. [Developing language technology tools and resources for a resource-poor language: Sindhi](https://aclanthology.org/N16-2008/) *— 2016 · Proceedings of the NAACL Student Research Workshop*
50. [Driving inversion transduction grammar induction with semantic evaluation](https://aclanthology.org/S16-2006/) *— 2016 · Proceedings of the Fifth Joint Conference on Lexical and Computational Semantics*
51. [Evaluating Translation Quality and CLIR Performance of Query Sessions](https://aclanthology.org/L16-1064/) *— 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)*
52. [Exploring Prediction Uncertainty in Machine Translation Quality Estimation](https://aclanthology.org/K16-1021/) *— 2016 · Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning*
53. [Extract Domain-specific Paraphrase from Monolingual Corpus for Automatic Evaluation of Machine Translation](https://aclanthology.org/W16-2343/) *— 2016 · Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers*
54. [Eyes Don''t Lie: Predicting Machine Translation Quality Using Eye Movement](https://aclanthology.org/N16-1125/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
55. [Findings of the 2016 Conference on Machine Translation](https://aclanthology.org/W16-2301/) *— 2016 · Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers*
56. [Guided Alignment Training for Topic-Aware Neural Machine Translation](https://aclanthology.org/2016.amta-researchers.10/) *— 2016 · Conferences of the Association for Machine Translation in the Americas: MT Researchers'' Track*
57. [Guidelines and Framework for a Large Scale Arabic Diacritized Corpus](https://aclanthology.org/L16-1577/) *— 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)*
58. [HUME: Human UCCA-Based Evaluation of Machine Translation](https://md.mova.elamur.ai/free/en/docs/papers/birch-2016-hume-human-ucca-based-evaluation/) *— our card · 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
59. [Improving word alignment for low resource languages using English monolingual SRL](https://aclanthology.org/W16-4507/) *— 2016 · Proceedings of the Sixth Workshop on Hybrid Approaches to Translation (HyTra6)*
60. [Integrating Optical Character Recognition and Machine Translation of Historical Documents](https://aclanthology.org/W16-4015/) *— 2016 · Proceedings of the Workshop on Language Technology Resources and Tools for Digital Humanities (LT4DH)*
61. [Investigating the Impact of Various Partial Diacritization Schemes on Arabic-English Statistical Machine Translation](https://aclanthology.org/2016.amta-researchers.15/) *— 2016 · Conferences of the Association for Machine Translation in the Americas: MT Researchers'' Track*
62. [Is machine translation post-editing worth the effort? A survey of research into post-editing and effort](https://www.jostrans.org/article/view/7730) *— 2016 · The Journal of Specialised Translation (JoSTrans)*
63. [It Takes Three to Tango: Triangulation Approach to Answer Ranking in Community Question Answering](https://aclanthology.org/D16-1165/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
64. [Japanese-English Machine Translation of Recipe Texts](https://aclanthology.org/W16-4603/) *— 2016 · Proceedings of the 3rd Workshop on Asian Translation (WAT2016)*
65. [Large-scale Multitask Learning for Machine Translation Quality Estimation](https://aclanthology.org/N16-1069/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
66. [Log-linear Combinations of Monolingual and Bilingual Neural Machine Translation Models for Automatic Post-Editing](https://aclanthology.org/W16-2378/) *— 2016 · Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers*
67. [MTE-NN at SemEval-2016 Task 3: Can Machine Translation Evaluation Help Community Question Answering?](https://aclanthology.org/S16-1137/) *— 2016 · Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)*
68. [Machine Translation Evaluation Meets Community Question Answering](https://aclanthology.org/P16-2075/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 2: Short Papers)*
69. [Machine Translation Evaluation for Arabic using Morphologically-enriched Embeddings](https://aclanthology.org/C16-1132/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers*
70. [Meta-Evaluation of Translation Evaluation Methods: a systematic up-to-date overview](https://arxiv.org/abs/1605.04515) *— 2016 · arXiv:1605.04515*
71. [Modifications of Machine Translation Evaluation Metrics by Using Word Embeddings](https://aclanthology.org/W16-4505/) *— 2016 · Proceedings of the Sixth Workshop on Hybrid Approaches to Translation (HyTra6)*
72. [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*
73. [Multi-domain Adaptation for Statistical Machine Translation Based on Feature Augmentation](https://aclanthology.org/2016.amta-researchers.7/) *— 2016 · Conferences of the Association for Machine Translation in the Americas: MT Researchers'' Track*
74. [Neural Paraphrase Generation with Stacked Residual LSTM Networks](https://aclanthology.org/C16-1275/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers*
75. [Neural versus Phrase-Based Machine Translation Quality: a Case Study](https://aclanthology.org/D16-1025/) *— 2016 · Proceedings of the 2016 Conference on Empirical Methods in Natural Language Processing*
76. [Phrase Level Segmentation and Labelling of Machine Translation Errors](https://aclanthology.org/L16-1356/) *— 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)*
77. [Reassessing the Goals of Grammatical Error Correction: Fluency Instead of Grammaticality](https://aclanthology.org/Q16-1013/) *— 2016*
78. [Referential Translation Machines for Predicting Translation Performance](https://aclanthology.org/W16-2382/) *— 2016 · Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers*
79. [SAARSHEFF at SemEval-2016 Task 1: Semantic Textual Similarity with Machine Translation Evaluation Metrics and (eXtreme) Boosted Tree Ensembles](https://aclanthology.org/S16-1095/) *— 2016 · Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)*
80. [Sentential Paraphrasing as Black-Box Machine Translation](https://aclanthology.org/N16-3013/) *— 2016 · Proceedings of the 2016 Conference of the North American Chapter of the Association for Computational Linguistics: Demonstrations*
81. [Set-Theoretic Alignment for Comparable Corpora](https://aclanthology.org/P16-1189/) *— 2016 · Proceedings of the 54th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
82. [SimpleNets: Quality Estimation with Resource-Light Neural Networks](https://aclanthology.org/W16-2388/) *— 2016 · Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers*
83. [Source Language Adaptation Approaches for Resource-Poor Machine Translation](https://aclanthology.org/J16-2004/) *— 2016 · Computational Linguistics*
84. [The FBK Participation in the WMT 2016 Automatic Post-editing Shared Task](https://aclanthology.org/W16-2377/) *— 2016 · Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers*
85. [The IWSLT 2016 Evaluation Campaign](https://aclanthology.org/2016.iwslt-1.1/) *— 2016 · Proceedings of the 13th International Conference on Spoken Language Translation*
86. [The RWTH Aachen Machine Translation System for IWSLT 2016](https://aclanthology.org/2016.iwslt-1.22/) *— 2016 · Proceedings of the 13th International Conference on Spoken Language Translation*
87. [The UU Submission to the Machine Translation Quality Estimation Task](https://aclanthology.org/W16-2390/) *— 2016 · Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers*
88. [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*
89. [UniMelb at SemEval-2016 Task 3: Identifying Similar Questions by combining a CNN with String Similarity Measures](https://aclanthology.org/S16-1131/) *— 2016 · Proceedings of the 10th International Workshop on Semantic Evaluation (SemEval-2016)*
90. [Using BabelNet to Improve OOV Coverage in SMT](https://aclanthology.org/L16-1002/) *— 2016 · Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)*
91. [Word embeddings and discourse information for Quality Estimation](https://aclanthology.org/W16-2391/) *— 2016 · Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers*
92. [Word2Vec vs DBnary ou comment (ré)concilier représentations distribuées et réseaux lexico-sémantiques ? Le cas de l'évaluation en traduction automatique (Word2Vec vs DBnary or how to bring back together vector representations and lexical resources ? A case study for machine translation evaluation)](https://aclanthology.org/2016.jeptalnrecital-long.23/) *— 2016 · Actes de la conférence conjointe JEP-TALN-RECITAL 2016. volume 2 : TALN (Articles longs)*
93. [Word2Vec vs DBnary: Augmenting METEOR using Vector Representations or Lexical Resources?](https://aclanthology.org/C16-1110/) *— 2016 · Proceedings of COLING 2016, the 26th International Conference on Computational Linguistics: Technical Papers*
94. [YODA System for WMT16 Shared Task: Bilingual Document Alignment](https://aclanthology.org/W16-2366/) *— 2016 · Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers*
95. [YSDA Participation in the WMT'16 Quality Estimation Shared Task](https://aclanthology.org/W16-2385/) *— 2016 · Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers*
96. [A fuzzier approach to machine translation evaluation: A pilot study on post-editing productivity and automated metrics in commercial settings](https://aclanthology.org/W15-4107/) *— 2015 · Proceedings of the Fourth Workshop on Hybrid Approaches to Translation (HyTra)*
97. [A general framework for minimizing translation effort: towards a principled combination of translation technologies in computer-aided translation](https://aclanthology.org/W15-4904/) *— 2015 · Proceedings of the 18th Annual Conference of the European Association for Machine Translation*
98. [AUT Document Alignment Framework for BUCC Workshop Shared Task](https://aclanthology.org/W15-3412/) *— 2015 · Proceedings of the Eighth Workshop on Building and Using Comparable Corpora*
99. [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*
100. [Alignment-based sense selection in METEOR and the RATATOUILLE recipe](https://aclanthology.org/W15-3048/) *— 2015 · Proceedings of the Tenth Workshop on Statistical Machine Translation*

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