---
title: "Who cites Bleu: a Method for Automatic Evaluation of…"
description: "The papers of the Elamur Research library that cite «Bleu: a Method for Automatic Evaluation of Machine Translation», found in their bibliographies."
canonical: "https://research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/46/"
---
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# Who cites «Bleu: a Method for Automatic Evaluation of Machine Translation» · page 46

10827 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/papineni-2002-bleu-method-automatic-evaluation-machine/)

Pages: [1](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/) · … · [45](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/45/) · **46** · [47](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/47/) · … · [109](https://md.research.elamur.ai/free/en/papers/papineni-2002-bleu-method-automatic-evaluation-machine/cited-by/page/109/)

1. [Breaking Down Multilingual Machine Translation](https://aclanthology.org/2022.findings-acl.218/) *— 2022 · Findings of the Association for Computational Linguistics: ACL 2022*
2. [Bridging the Data Gap between Training and Inference for Unsupervised Neural Machine Translation](https://aclanthology.org/2022.acl-long.456/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
3. [Bridging the Gap between Training and Inference: Multi-Candidate Optimization for Diverse Neural Machine Translation](https://aclanthology.org/2022.findings-naacl.200/) *— 2022 · Findings of the Association for Computational Linguistics: NAACL 2022*
4. [Building Joint Relationship Attention Network for Image-Text Generation](https://aclanthology.org/2022.coling-1.489/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
5. [Building a Knowledge-Based Dialogue System with Text Infilling](https://aclanthology.org/2022.sigdial-1.25/) *— 2022 · Proceedings of the 23rd Annual Meeting of the Special Interest Group on Discourse and Dialogue*
6. [C3PO: A Lightweight Copying Mechanism for Translating Pseudocode to Code](https://aclanthology.org/2022.aacl-srw.7/) *— 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing: Student Research Workshop*
7. [CARE: Causality Reasoning for Empathetic Responses by Conditional Graph Generation](https://aclanthology.org/2022.findings-emnlp.51/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
8. [CDialog: A Multi-turn Covid-19 Conversation Dataset for Entity-Aware Dialog Generation](https://aclanthology.org/2022.emnlp-main.782/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
9. [CGoDial: A Large-Scale Benchmark for Chinese Goal-oriented Dialog Evaluation](https://aclanthology.org/2022.emnlp-main.274/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
10. [CHAE: Fine-Grained Controllable Story Generation with Characters, Actions and Emotions](https://aclanthology.org/2022.coling-1.559/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
11. [CHIA: CHoosing Instances to Annotate for Machine Translation](https://aclanthology.org/2022.findings-emnlp.540/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
12. [CICERO: A Dataset for Contextualized Commonsense Inference in Dialogues](https://aclanthology.org/2022.acl-long.344/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
13. [CLIP4IDC: CLIP for Image Difference Captioning](https://aclanthology.org/2022.aacl-short.5/) *— 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 2: Short Papers)*
14. [CMCC: A Comprehensive and Large-Scale Human-Human Dataset for Dialogue Systems](https://aclanthology.org/2022.seretod-1.7/) *— 2022 · Proceedings of the Towards Semi-Supervised and Reinforced Task-Oriented Dialog Systems (SereTOD)*
15. [CMQA: A Dataset of Conditional Question Answering with Multiple-Span Answers](https://aclanthology.org/2022.coling-1.146/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
16. [COMET-22: Unbabel-IST 2022 Submission for the Metrics Shared Task](https://aclanthology.org/2022.wmt-1.52/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
17. [COMET-QE and Active Learning for Low-Resource Machine Translation](https://aclanthology.org/2022.findings-emnlp.348/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
18. [COMMA: Modeling Relationship among Motivations, Emotions and Actions in Language-based Human Activities](https://aclanthology.org/2022.coling-1.15/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
19. [COMPILING: A Benchmark Dataset for Chinese Complexity Controllable Definition Generation](https://aclanthology.org/2022.ccl-1.81/) *— 2022 · Proceedings of the 21st Chinese National Conference on Computational Linguistics*
20. [CQG: A Simple and Effective Controlled Generation Framework for Multi-hop Question Generation](https://aclanthology.org/2022.acl-long.475/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
21. [CTRLEval: An Unsupervised Reference-Free Metric for Evaluating Controlled Text Generation](https://aclanthology.org/2022.acl-long.164/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
22. [CUNI Non-Autoregressive System for the WMT 22 Efficient Translation Shared Task](https://aclanthology.org/2022.wmt-1.64/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
23. [CUNI-KIT System for Simultaneous Speech Translation Task at IWSLT 2022](https://aclanthology.org/2022.iwslt-1.24/) *— 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)*
24. [CURIE: An Iterative Querying Approach for Reasoning About Situations](https://aclanthology.org/2022.csrr-1.7/) *— 2022 · Proceedings of the First Workshop on Commonsense Representation and Reasoning (CSRR 2022)*
25. [CVSS Corpus and Massively Multilingual Speech-to-Speech Translation](https://aclanthology.org/2022.lrec-1.720/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
26. [Can NMT Understand Me? Towards Perturbation-based Evaluation of NMT Models for Code Generation](https://arxiv.org/abs/2203.15319) *— 2022 · arXiv:2203.15319*
27. [Can Pretrained Language Models Generate Persuasive, Faithful, and Informative Ad Text for Product Descriptions?](https://aclanthology.org/2022.ecnlp-1.27/) *— 2022 · Proceedings of the Fifth Workshop on e-Commerce and NLP (ECNLP 5)*
28. [Can Synthetic Translations Improve Bitext Quality?](https://aclanthology.org/2022.acl-long.326/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
29. [Can We Use Word Embeddings for Enhancing Guarani-Spanish Machine Translation?](https://aclanthology.org/2022.computel-1.16/) *— 2022 · Proceedings of the Fifth Workshop on the Use of Computational Methods in the Study of Endangered Languages*
30. [Can the Translation Memory Principle Benefit Neural Machine Translation? A Series of Extensive Experiments with Input Sentence Annotation](https://aclanthology.org/2022.paclic-1.27/) *— 2022 · Proceedings of the 36th Pacific Asia Conference on Language, Information and Computation*
31. [Candidate Soups: Fusing Candidate Results Improves Translation Quality for Non-Autoregressive Translation](https://aclanthology.org/2022.emnlp-main.318/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
32. [CapOnImage: Context-driven Dense-Captioning on Image](https://aclanthology.org/2022.emnlp-main.226/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
33. [Categorizing Semantic Representations for Neural Machine Translation](https://aclanthology.org/2022.coling-1.464/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
34. [Challenges of Neural Machine Translation for Short Texts](https://aclanthology.org/2022.cl-2.3/) *— 2022 · Computational Linguistics*
35. [Challenges with Sign Language Datasets for Sign Language Recognition and Translation](https://aclanthology.org/2022.lrec-1.264/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
36. [Chat Translation Error Detection for Assisting Cross-lingual Communications](https://aclanthology.org/2022.eval4nlp-1.9/) *— 2022 · Proceedings of the 3rd Workshop on Evaluation and Comparison of NLP Systems*
37. [ChatMatch: Evaluating Chatbots by Autonomous Chat Tournaments](https://aclanthology.org/2022.acl-long.522/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
38. [Chinese Couplet Generation with Syntactic Information](https://aclanthology.org/2022.coling-1.560/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
39. [Chunk-based Nearest Neighbor Machine Translation](https://aclanthology.org/2022.emnlp-main.284/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
40. [CipherDAug: Ciphertext based Data Augmentation for Neural Machine Translation](https://aclanthology.org/2022.acl-long.17/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
41. [ClarET: Pre-training a Correlation-Aware Context-To-Event Transformer for Event-Centric Generation and Classification](https://aclanthology.org/2022.acl-long.183/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
42. [Clean Text and Full-Body Transformer: Microsoft”s Submission to the WMT22 Shared Task on Sign Language Translation](https://aclanthology.org/2022.wmt-1.93/) *— 2022 · Proceedings of the Seventh Conference on Machine Translation (WMT)*
43. [Clickbait Spoiling via Question Answering and Passage Retrieval](https://aclanthology.org/2022.acl-long.484/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
44. [Cloze Evaluation for Deeper Understanding of Commonsense Stories in Indonesian](https://aclanthology.org/2022.csrr-1.2/) *— 2022 · Proceedings of the First Workshop on Commonsense Representation and Reasoning (CSRR 2022)*
45. [CoCoa: An Encoder-Decoder Model for Controllable Code-switched Generation](https://aclanthology.org/2022.emnlp-main.158/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
46. [CoDoNMT: Modeling Cohesion Devices for Document-Level Neural Machine Translation](https://aclanthology.org/2022.coling-1.462/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
47. [CoHS-CQG: Context and History Selection for Conversational Question Generation](https://aclanthology.org/2022.coling-1.48/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
48. [CoSe-Co: Text Conditioned Generative CommonSense Contextualizer](https://aclanthology.org/2022.naacl-main.83/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
49. [CodeExp: Explanatory Code Document Generation](https://aclanthology.org/2022.findings-emnlp.174/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
50. [CodeRL: Mastering Code Generation through Pretrained Models and Deep Reinforcement Learning](https://arxiv.org/abs/2207.01780) *— 2022 · arXiv:2207.01780*
51. [CoditT5: Pretraining for Source Code and Natural Language Editing](https://arxiv.org/abs/2208.05446) *— 2022 · arXiv:2208.05446*
52. [Cognitive Simplification Operations Improve Text Simplification](https://aclanthology.org/2022.conll-1.17/) *— 2022 · Proceedings of the 26th Conference on Computational Natural Language Learning (CoNLL)*
53. [Coherence boosting: When your pretrained language model is not paying enough attention](https://aclanthology.org/2022.acl-long.565/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
54. [Coherent Long Text Generation by Contrastive Soft Prompt](https://aclanthology.org/2022.gem-1.42/) *— 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
55. [Collaborative Reasoning on Multi-Modal Semantic Graphs for Video-Grounded Dialogue Generation](https://aclanthology.org/2022.findings-emnlp.442/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
56. [ComFact: A Benchmark for Linking Contextual Commonsense Knowledge](https://aclanthology.org/2022.findings-emnlp.120/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
57. [Combine to Describe: Evaluating Compositional Generalization in Image Captioning](https://aclanthology.org/2022.acl-srw.11/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics: Student Research Workshop*
58. [Commonsense and Named Entity Aware Knowledge Grounded Dialogue Generation](https://aclanthology.org/2022.naacl-main.95/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
59. [Comparing BERT-based Reward Functions for Deep Reinforcement Learning in Machine Translation](https://aclanthology.org/2022.wat-1.2/) *— 2022 · Proceedings of the 9th Workshop on Asian Translation*
60. [Comparing and combining tagging with different decoding algorithms for back-translation in NMT: learnings from a low resource scenario](https://aclanthology.org/2022.eamt-1.6/) *— 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation*
61. [Competency-Aware Neural Machine Translation: Can Machine Translation Know its Own Translation Quality?](https://aclanthology.org/2022.emnlp-main.330/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
62. [Compiling a Highly Accurate Bilingual Lexicon by Combining Different Approaches](https://aclanthology.org/2022.gwll-1.6/) *— 2022 · Proceedings of Globalex Workshop on Linked Lexicography within the 13th Language Resources and Evaluation Conference*
63. [Complex Reading Comprehension Through Question Decomposition](https://aclanthology.org/2022.alta-1.5/) *— 2022 · Proceedings of the 20th Annual Workshop of the Australasian Language Technology Association*
64. [Con-NAT: Contrastive Non-autoregressive Neural Machine Translation](https://aclanthology.org/2022.findings-emnlp.463/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
65. [Concadia: Towards Image-Based Text Generation with a Purpose](https://aclanthology.org/2022.emnlp-main.308/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
66. [Confidence Based Bidirectional Global Context Aware Training Framework for Neural Machine Translation](https://aclanthology.org/2022.acl-long.206/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
67. [Consistent Human Evaluation of Machine Translation across Language Pairs](https://aclanthology.org/2022.amta-research.24/) *— 2022 · Proceedings of the 15th biennial conference of the Association for Machine Translation in the Americas (Volume 1: Research Track)*
68. [Constrained Regeneration for Cross-Lingual Query-Focused Extractive Summarization](https://aclanthology.org/2022.coling-1.236/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
69. [Constructing Highly Inductive Contexts for Dialogue Safety through Controllable Reverse Generation](https://aclanthology.org/2022.findings-emnlp.270/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
70. [Construction of Hierarchical Structured Knowledge-based Recommendation Dialogue Dataset and Dialogue System](https://aclanthology.org/2022.dialdoc-1.9/) *— 2022 · Proceedings of the Second DialDoc Workshop on Document-grounded Dialogue and Conversational Question Answering*
71. [Construction of a Quality Estimation Dataset for Automatic Evaluation of Japanese Grammatical Error Correction](https://aclanthology.org/2022.lrec-1.596/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
72. [Consultation Checklists: Standardising the Human Evaluation of Medical Note Generation](https://aclanthology.org/2022.emnlp-industry.10/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: Industry Track*
73. [Content Type Profiling of Data-to-Text Generation Datasets](https://aclanthology.org/2022.coling-1.507/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
74. [Context Matters for Image Descriptions for Accessibility: Challenges for Referenceless Evaluation Metrics](https://aclanthology.org/2022.emnlp-main.309/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
75. [Context-Aware Abbreviation Expansion Using Large Language Models](https://aclanthology.org/2022.naacl-main.91/) *— 2022 · Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies*
76. [Context-Tuning: Learning Contextualized Prompts for Natural Language Generation](https://aclanthology.org/2022.coling-1.552/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
77. [Contextualizing Language Models for Norms Diverging from Social Majority](https://aclanthology.org/2022.findings-emnlp.339/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
78. [Continual Learning of Neural Machine Translation within Low Forgetting Risk Regions](https://aclanthology.org/2022.emnlp-main.111/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
79. [Continuous Decomposition of Granularity for Neural Paraphrase Generation](https://aclanthology.org/2022.coling-1.554/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
80. [Contrastive Learning enhanced Author-Style Headline Generation](https://aclanthology.org/2022.emnlp-main.338/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
81. [Control Prefixes for Parameter-Efficient Text Generation](https://aclanthology.org/2022.gem-1.31/) *— 2022 · Proceedings of the Second Workshop on Natural Language Generation, Evaluation, and Metrics (GEM)*
82. [Controllable Dictionary Example Generation: Generating Example Sentences for Specific Targeted Audiences](https://aclanthology.org/2022.acl-long.46/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
83. [Controllable Factuality in Document-Grounded Dialog Systems Using a Noisy Channel Model](https://aclanthology.org/2022.findings-emnlp.98/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
84. [Controllable Fake Document Infilling for Cyber Deception](https://aclanthology.org/2022.findings-emnlp.486/) *— 2022 · Findings of the Association for Computational Linguistics: EMNLP 2022*
85. [Controlled Language Generation for Language Learning Items](https://aclanthology.org/2022.emnlp-industry.30/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing: Industry Track*
86. [Controlling Extra-Textual Attributes about Dialogue Participants: A Case Study of English-to-Polish Neural Machine Translation](https://aclanthology.org/2022.eamt-1.15/) *— 2022 · Proceedings of the 23rd Annual Conference of the European Association for Machine Translation*
87. [Controlling Japanese Machine Translation Output by Using JLPT Vocabulary Levels](https://aclanthology.org/2022.tsar-1.7/) *— 2022 · Proceedings of the Workshop on Text Simplification, Accessibility, and Readability (TSAR-2022)*
88. [Controlling Translation Formality Using Pre-trained Multilingual Language Models](https://aclanthology.org/2022.iwslt-1.30/) *— 2022 · Proceedings of the 19th International Conference on Spoken Language Translation (IWSLT 2022)*
89. [Cost-Effective Language Driven Image Editing with LX-DRIM](https://aclanthology.org/2022.mmmpie-1.5/) *— 2022 · Proceedings of the First Workshop on Performance and Interpretability Evaluations of Multimodal, Multipurpose, Massive-Scale Models*
90. [Counterfactual Recipe Generation: Exploring Compositional Generalization in a Realistic Scenario](https://aclanthology.org/2022.emnlp-main.497/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
91. [Cross-Lingual Open-Domain Question Answering with Answer Sentence Generation](https://aclanthology.org/2022.aacl-main.27/) *— 2022 · Proceedings of the 2nd Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 12th International Joint Conference on Natural Language Processing (Volume 1: Long Papers)*
92. [Cross-modal Contrastive Attention Model for Medical Report Generation](https://aclanthology.org/2022.coling-1.210/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
93. [Crosslingual Generalization through Multitask Finetuning](https://arxiv.org/abs/2211.01786) *— 2022 · arXiv:2211.01786*
94. [D4: a Chinese Dialogue Dataset for Depression-Diagnosis-Oriented Chat](https://aclanthology.org/2022.emnlp-main.156/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
95. [DEEP: DEnoising Entity Pre-training for Neural Machine Translation](https://aclanthology.org/2022.acl-long.123/) *— 2022 · Proceedings of the 60th Annual Meeting of the Association for Computational Linguistics (Volume 1: Long Papers)*
96. [DEER: Descriptive Knowledge Graph for Explaining Entity Relationships](https://aclanthology.org/2022.emnlp-main.448/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
97. [DEMETR: Diagnosing Evaluation Metrics for Translation](https://aclanthology.org/2022.emnlp-main.649/) *— 2022 · Proceedings of the 2022 Conference on Empirical Methods in Natural Language Processing*
98. [DIASER: A Unifying View On Task-oriented Dialogue Annotation](https://aclanthology.org/2022.lrec-1.137/) *— 2022 · Proceedings of the Thirteenth Language Resources and Evaluation Conference*
99. [DISK: Domain-constrained Instance Sketch for Math Word Problem Generation](https://aclanthology.org/2022.coling-1.551/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*
100. [DP-Rewrite: Towards Reproducibility and Transparency in Differentially Private Text Rewriting](https://aclanthology.org/2022.coling-1.258/) *— 2022 · Proceedings of the 29th International Conference on Computational Linguistics*

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