---
title: "Pushpak Bhattacharyya — all works — Elamur Research"
description: "All 69 works of Pushpak Bhattacharyya in the Elamur Research library, the most cited first: our summaries where we have them, else the original."
canonical: "https://research.elamur.ai/free/en/authors/pushpak-bhattacharyya/works/"
---
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# Pushpak Bhattacharyya — all works

69 works · [← Pushpak Bhattacharyya](https://md.research.elamur.ai/free/en/authors/pushpak-bhattacharyya/)

1. **[Harnessing Context Incongruity for Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/joshi-2015-harnessing-context-incongruity-sarcasm-detection/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Aditya Joshi, Vinita Sharma, Pushpak Bhattacharyya*2015 · 417 citations*
2. **[Multi-task Learning for Multi-modal Emotion Recognition and Sentiment Analysis ↗](https://aclanthology.org/N19-1034/) 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) · no summary yet**Md Shad Akhtar et al.*2019 · 230 citations*
3. [**Automatic Sarcasm Detection: A Survey arXiv:1602.03426**Aditya Joshi, Pushpak Bhattacharyya, Mark James Carman*2016 · 216 citations*](https://md.research.elamur.ai/free/en/papers/joshi-2016-automatic-sarcasm-detection-survey/)
4. **[Are Word Embedding-based Features Useful for Sarcasm Detection?](https://md.research.elamur.ai/free/en/papers/joshi-2016-are-word-embedding-based-features/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Aditya Joshi, Vaibhav Tripathi, Kevin Patel, et al.*2016 · 212 citations*
5. **[Contextual Inter-modal Attention for Multi-modal Sentiment Analysis ↗](https://aclanthology.org/D18-1382/) Proceedings of the 2018 Conference on Empirical Methods in Natural Language Processing · no summary yet**Deepanway Ghosal et al.*2018 · 204 citations*
6. **[The IIT Bombay English-Hindi Parallel Corpus](https://md.research.elamur.ai/free/en/papers/kunchukuttan-2018-iit-bombay-english-hindi-parallel/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Anoop Kunchukuttan, Pratik Mehta, Pushpak Bhattacharyya*2018 · 177 citations*
7. **[Sentiment and Emotion help Sarcasm? A Multi-task Learning Framework for Multi-Modal Sarcasm, Sentiment and Emotion Analysis](https://md.research.elamur.ai/free/en/papers/chauhan-2020-sentiment-emotion-help-sarcasm-multi/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Dushyant Singh Chauhan, Dhanush S R, Asif Ekbal, et al.*2020 · 173 citations*
8. **[Learning Cognitive Features from Gaze Data for Sentiment and Sarcasm Classification using Convolutional Neural Network](https://md.research.elamur.ai/free/en/papers/mishra-2017-learning-cognitive-features-gaze-data/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Abhijit Mishra, Kuntal Dey, Pushpak Bhattacharyya*2017 · 141 citations*
9. **[A Multilayer Perceptron based Ensemble Technique for Fine-grained Financial Sentiment Analysis ↗](https://aclanthology.org/D17-1057/) Proceedings of the 2017 Conference on Empirical Methods in Natural Language Processing · no summary yet**Md Shad Akhtar et al.*2017 · 128 citations*
10. **[Your Sentiment Precedes You: Using an author's historical tweets to predict sarcasm](https://md.research.elamur.ai/free/en/papers/khattri-2015-your-sentiment-precedes-you-author/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Anupam Khattri, Aditya Joshi, Pushpak Bhattacharyya, et al.*2015 · 115 citations*
11. **[Context-aware Interactive Attention for Multi-modal Sentiment and Emotion Analysis ↗](https://aclanthology.org/D19-1566/) Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yet**Dushyant Singh Chauhan et al.*2019 · 105 citations*
12. **[Simple Syntactic and Morphological Processing Can Help English-Hindi Statistical Machine Translation ↗](https://aclanthology.org/I08-1067/) Proceedings of the Third International Joint Conference on Natural Language Processing: Volume-I · no summary yet**Ananthakrishnan Ramanathan et al.*2008 · 101 citations*
13. **[Harnessing Sequence Labeling for Sarcasm Detection in Dialogue from TV Series ‘Friends'](https://md.research.elamur.ai/free/en/papers/joshi-2016-harnessing-sequence-labeling-sarcasm-detection/) [Conference on Computational Natural Language Learning (CoNLL)](https://md.research.elamur.ai/free/en/venues/conll/)**Aditya Joshi, Vaibhav Tripathi, Pushpak Bhattacharyya, et al.*2016 · 87 citations*
14. **[Harnessing Cognitive Features for Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/mishra-2016-harnessing-cognitive-features-sarcasm-detection/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Abhijit Mishra, Diptesh Kanojia, Seema Nagar, et al.*2016 · 85 citations*
15. **[Towards Emotion-aided Multi-modal Dialogue Act Classification](https://md.research.elamur.ai/free/en/papers/saha-2020-emotion-aided-multi-modal-dialogue/) [Annual Meeting of the Association for Computational Linguistics (ACL)](https://md.research.elamur.ai/free/en/venues/acl/)**Tulika Saha, Aditya Patra, Sriparna Saha, et al.*2020 · 79 citations*
16. **[MEISD: A Multimodal Multi-Label Emotion, Intensity and Sentiment Dialogue Dataset for Emotion Recognition and Sentiment Analysis in Conversations ↗](https://aclanthology.org/2020.coling-main.393/) Proceedings of the 28th International Conference on Computational Linguistics · no summary yet**Mauajama Firdaus et al.*2020 · 77 citations*
17. [**PUB: A Pragmatics Understanding Benchmark for Assessing LLMs' Pragmatics Capabilities**Settaluri Sravanthi, Meet Doshi, Pavan Tankala, et al.*English · 75 citations*](https://md.research.elamur.ai/free/en/papers/sravanthi-2024-pub-pragmatics-understanding-benchmark-assessing/)
18. **[Leveraging Cognitive Features for Sentiment Analysis ↗](https://aclanthology.org/K16-1016/) Proceedings of the 20th SIGNLL Conference on Computational Natural Language Learning · no summary yet**Abhijit Mishra et al.*2016 · 74 citations*
19. **[DeepSentiPeer: Harnessing Sentiment in Review Texts to Recommend Peer Review Decisions ↗](https://aclanthology.org/P19-1106/) Proceedings of the 57th Annual Meeting of the Association for Computational Linguistics · no summary yet**Tirthankar Ghosal et al.*2019 · 72 citations*
20. **[How Do Cultural Differences Impact the Quality of Sarcasm Annotation?: A Case Study of Indian Annotators and American Text](https://md.research.elamur.ai/free/en/papers/joshi-2016-how-do-cultural-differences-impact/) [SIGHUM Workshop on Language Technology for Cultural Heritage, Social Sciences, and Humanities](https://md.research.elamur.ai/free/en/venues/sighum-workshop-on-language-technology-for-cultural-heritage-social-sciences-and/)**Aditya Joshi, Pushpak Bhattacharyya, Mark Carman, et al.*2016 · 47 citations*
21. **[Towards Sentiment and Emotion aided Multi-modal Speech Act Classification in Twitter](https://md.research.elamur.ai/free/en/papers/saha-2021-sentiment-emotion-aided-multi-modal/) [Conference of the North American Chapter of the Association for Computational Linguistics (NAACL)](https://md.research.elamur.ai/free/en/venues/naacl/)**Tulika Saha, Apoorva Upadhyaya, Sriparna Saha, et al.*2021 · 43 citations*
22. **[SlangNet: A WordNet like resource for English Slang](https://md.research.elamur.ai/free/en/papers/dhuliawala-2016-slangnet-wordnet-like-resource-english/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Shehzaad Dhuliawala, Diptesh Kanojia, Pushpak Bhattacharyya*2016 · 41 citations*
23. **[All-in-One: A Deep Attentive Multi-task Learning Framework for Humour, Sarcasm, Offensive, Motivation, and Sentiment on Memes](https://md.research.elamur.ai/free/en/papers/chauhan-2020-all-one-deep-attentive-multi/) [Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL)](https://md.research.elamur.ai/free/en/venues/aacl/)**Dushyant Singh Chauhan, Dhanush S R, Asif Ekbal, et al.*2020 · 38 citations*
24. **[A Multimodal Corpus for Emotion Recognition in Sarcasm](https://md.research.elamur.ai/free/en/papers/ray-2022-multimodal-corpus-emotion-recognition-sarcasm/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Anupama Ray, Shubham Mishra, Apoorva Nunna, et al.*2022 · 35 citations*
25. **[Findings of the Quality Estimation Shared Task at WMT 2024: Are LLMs Closing the Gap in QE? ↗](https://aclanthology.org/2024.wmt-1.3/) Proceedings of the Ninth Conference on Machine Translation · no summary yet**Chrysoula Zerva et al.*2024 · 34 citations*
26. **[Proceedings of the 3rd Workshop on Asian Translation (WAT2016) ↗](https://openalex.org/W2805853209) no summary yet**Toshiaki Nakazawa et al.*2016 · 32 citations*
27. **[“When Numbers Matter!”: Detecting Sarcasm in Numerical Portions of Text](https://md.research.elamur.ai/free/en/papers/dubey-2019-when-numbers-matter-detecting-sarcasm/) [Workshop on Computational Approaches to Subjectivity, Sentiment and Social Media Analysis](https://md.research.elamur.ai/free/en/venues/wassa/)**Abhijeet Dubey, Lakshya Kumar, Arpan Somani, et al.*2019 · 29 citations*
28. **[LAYERED: Metric for Machine Translation Evaluation ↗](https://aclanthology.org/W14-3350/) Proceedings of the Ninth Workshop on Statistical Machine Translation · no summary yet**Shubham Gautam, Pushpak Bhattacharyya*2014 · 24 citations*
29. **[CEASE, a Corpus of Emotion Annotated Suicide notes in English](https://md.research.elamur.ai/free/en/papers/ghosh-2020-cease-corpus-emotion-annotated-suicide/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Soumitra Ghosh, Asif Ekbal, Pushpak Bhattacharyya*2020 · 23 citations*
30. **[Looking inside Noun Compounds: Unsupervised Prepositional and Free Paraphrasing ↗](https://aclanthology.org/2020.findings-emnlp.386/) Findings of the Association for Computational Linguistics: EMNLP 2020 · no summary yet**Girishkumar Ponkiya et al.*2020 · 21 citations*
31. **[Predict and Use: Harnessing Predicted Gaze to Improve Multimodal Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/tiwari-2023-predict-use-harnessing-predicted-gaze/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Divyank Tiwari, Diptesh Kanojia, Anupama Ray, et al.*2023 · 18 citations*
32. **[Hindi generation from interlingua ↗](https://aclanthology.org/2007.mtsummit-papers.56/) Proceedings of Machine Translation Summit XI: Papers · no summary yet**Smriti Singh et al.*2007 · 17 citations*
33. **[Sarcasm Target Identification: Dataset and An Introductory Approach](https://md.research.elamur.ai/free/en/papers/joshi-2018-sarcasm-target-identification-dataset-introductory/) [Language Resources and Evaluation Conference (LREC)](https://md.research.elamur.ai/free/en/venues/lrec/)**Aditya Joshi, Pranav Goel, Pushpak Bhattacharyya, et al.*2018 · 16 citations*
34. **[Treat us like the sequences we are: Prepositional Paraphrasing of Noun Compounds using LSTM ↗](https://aclanthology.org/C18-1155/) Proceedings of the 27th International Conference on Computational Linguistics · no summary yet**Girishkumar Ponkiya et al.*2018 · 14 citations*
35. **[Quality Estimation-Assisted Automatic Post-Editing ↗](https://aclanthology.org/2023.findings-emnlp.115/) Findings of the Association for Computational Linguistics: EMNLP 2023 · no summary yet**Sourabh Deoghare et al.*2023 · 12 citations*
36. **[Automated Grammar Correction Using Hierarchical Phrase-Based Statistical Machine Translation ↗](https://aclanthology.org/I13-1122/) Proceedings of the Sixth International Joint Conference on Natural Language Processing · no summary yet**Bibek Behera, Pushpak Bhattacharyya*2013 · 11 citations*
37. [**How Challenging is Sarcasm versus Irony Classification?: A Study With a Dataset from English Literature**Aditya Joshi, Vaibhav Tripathi, Pushpak Bhattacharyya, et al.*English · 10 citations*](https://md.research.elamur.ai/free/en/papers/joshi-2016-how-challenging-is-sarcasm-versus/)
38. **[Hi-GEC: Hindi Grammar Error Correction in Low Resource Scenario](https://md.research.elamur.ai/free/en/papers/sharma-2025-hi-gec-hindi-grammar-error/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Ujjwal Sharma, Pushpak Bhattacharyya*2025 · 9 citations*
39. **[“A Little is Enough”: Few-Shot Quality Estimation based Corpus Filtering improves Machine Translation ↗](https://aclanthology.org/2023.findings-acl.892/) Findings of the Association for Computational Linguistics: ACL 2023 · no summary yet**Akshay Batheja, Pushpak Bhattacharyya*2023 · 8 citations*
40. **[Machine Translation Evaluation using Bi-directional Entailment ↗](https://arxiv.org/abs/1911.00681) arXiv:1911.00681 · no summary yet**Rakesh Khobragade et al.*2019 · 7 citations*
41. **[Unsupervised Aspect-Level Sentiment Controllable Style Transfer ↗](https://aclanthology.org/2020.aacl-main.33/) Proceedings of the 1st Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics and the 10th International Joint Conference on Natural Language Processing · no summary yet**Mukuntha Narayanan Sundararaman et al.*2020 · 6 citations*
42. [**Automatic Identification of Sarcasm Target: An Introductory Approach arXiv:1610.07091**Aditya Joshi, Pranav Goel, Pushpak Bhattacharyya, et al.*2016 · 6 citations*](https://md.research.elamur.ai/free/en/papers/joshi-2016-automatic-identification-sarcasm-target-introductory/)
43. **[Can SMT and RBMT Improve each other's Performance?- An Experiment with English-Hindi Translation ↗](https://aclanthology.org/W16-6303/) Proceedings of the 13th International Conference on Natural Language Processing · no summary yet**Debajyoty Banik et al.*2016 · 6 citations*
44. **[Giving the Old a Fresh Spin: Quality Estimation-Assisted Constrained Decoding for Automatic Post-Editing ↗](https://aclanthology.org/2025.naacl-short.77/) Proceedings of the 2025 Conference of the Nations of the Americas Chapter of the Association for Computational Linguistics: Human Language Technologies (Volume 2: Short Papers) · no summary yet**Sourabh Deoghare, Diptesh Kanojia, Pushpak Bhattacharyya*2025 · 5 citations*
45. **[PoliSe: Reinforcing Politeness Using User Sentiment for Customer Care Response Generation](https://md.research.elamur.ai/free/en/papers/firdaus-2022-polise-reinforcing-politeness-user-sentiment/) [International Conference on Computational Linguistics (COLING)](https://md.research.elamur.ai/free/en/venues/coling/)**Mauajama Firdaus, Asif Ekbal, Pushpak Bhattacharyya*2022 · 5 citations*
46. **[Comparison of SMT and RBMT; The Requirement of Hybridization for Marathi-Hindi MT ↗](https://arxiv.org/abs/1703.03666) arXiv:1703.03666 · no summary yet**Sreelekha. S, Pushpak Bhattacharyya*2017 · 5 citations*
47. **[‘Who would have thought of that!': A Hierarchical Topic Model for Extraction of Sarcasm-prevalent Topics and Sarcasm Detection](https://md.research.elamur.ai/free/en/papers/joshi-2016-who-would-have-thought-that/) [Workshop on Extra-Propositional Aspects of Meaning in Computational Linguistics](https://md.research.elamur.ai/free/en/venues/workshop-on-extra-propositional-aspects-of-meaning-in-computational-linguistics/)**Aditya Joshi, Prayas Jain, Pushpak Bhattacharyya, et al.*2016 · 5 citations*
48. [**Sarcasm in Sight and Sound: Benchmarking and Expansion to Improve Multimodal Sarcasm Detection arXiv:2310.01430**Swapnil Bhosale, Abhra Chaudhuri, Alex Lee Robert Williams, et al.*2023 · 4 citations*](https://md.research.elamur.ai/free/en/papers/bhosale-2023-sarcasm-sight-sound-benchmarking-expansion/)
49. **[A Multi-task Learning Framework for Quality Estimation ↗](https://aclanthology.org/2023.findings-acl.585/) Findings of the Association for Computational Linguistics: ACL 2023 · no summary yet**Sourabh Deoghare et al.*2023 · 4 citations*
50. **[Meta-Learning based Deferred Optimisation for Sentiment and Emotion aware Multi-modal Dialogue Act Classification](https://md.research.elamur.ai/free/en/papers/saha-2022-meta-learning-based-deferred-optimisation/) [Conference of the Asia-Pacific Chapter of the Association for Computational Linguistics (AACL)](https://md.research.elamur.ai/free/en/venues/aacl/)**Tulika Saha, Aditya Prakash Patra, Sriparna Saha, et al.*2022 · 4 citations*
51. **[Annotated Corpus of Tweets in English from Various Domains for Emotion Detection](https://md.research.elamur.ai/free/en/papers/ghosh-2020-annotated-corpus-tweets-english-various/) [International Conference on Natural Language Processing (ICON)](https://md.research.elamur.ai/free/en/venues/icon/)**Soumitra Ghosh, Asif Ekbal, Pushpak Bhattacharyya, et al.*2020 · 4 citations*
52. **[CFILT-CORE: Semantic Textual Similarity using Universal Networking Language ↗](https://aclanthology.org/S13-1031/) Second Joint Conference on Lexical and Computational Semantics (*SEM), Volume 1: Proceedings of the Main Conference and the Shared Task: Semantic Textual Similarity · no summary yet**Avishek Dan, Pushpak Bhattacharyya*2013 · 3 citations*
53. **[janardhan: Semantic Textual Similarity using Universal Networking Language graph matching ↗](https://aclanthology.org/S12-1098/) *SEM 2012: The First Joint Conference on Lexical and Computational Semantics – Volume 1: Proceedings of the main conference and the shared task, and Volume 2: Proceedings of the Sixth International Workshop on Semantic Evaluation (SemEval 2012) · no summary yet**Janardhan Singh, Arindam Bhattacharya, Pushpak Bhattacharyya*2012 · 3 citations*
54. **[Evaluating Extremely Low-Resource Machine Translation: A Comparative Study of ChrF++ and BLEU Metrics ↗](https://arxiv.org/abs/2602.17425) arXiv:2602.17425 · no summary yet**Sanjeev Kumar, Preethi Jyothi, Pushpak Bhattacharyya*2026 · 2 citations*
55. **[HalluDetect: Detecting, Mitigating, and Benchmarking Hallucinations in Conversational Systems in the Legal Domain ↗](https://aclanthology.org/2025.emnlp-industry.128/) Proceedings of the 2025 Conference on Empirical Methods in Natural Language Processing: Industry Track · no summary yet**Spandan Anaokar et al.*2025 · 2 citations*
56. **[Understand the Implication: Learning to Think for Pragmatic Understanding ↗](https://aclanthology.org/2025.findings-acl.1218/) Findings of the Association for Computational Linguistics: ACL 2025 · no summary yet**Settaluri Lakshmi Sravanthi et al.*2025 · 2 citations*
57. **[Semantic Extractor-Paraphraser based Abstractive Summarization ↗](https://aclanthology.org/2020.icon-main.25/) Proceedings of the 17th International Conference on Natural Language Processing (ICON) · no summary yet**Anubhav Jangra et al.*2020 · 2 citations*
58. **[Computational Sarcasm](https://md.research.elamur.ai/free/en/papers/bhattacharyya-2017-computational-sarcasm/) [Conference on Empirical Methods in Natural Language Processing (EMNLP)](https://md.research.elamur.ai/free/en/venues/emnlp/)**Pushpak Bhattacharyya, Aditya Joshi*2017 · 1 citation*
59. **[Post-editing a chapter of a specialized textbook into 7 languages: importance of terminological proximity with English for productivity](https://md.research.elamur.ai/free/en/papers/shah-2015-post-editing-chapter-specialized-textbook/) [International Conference on Natural Language Processing (ICON)](https://md.research.elamur.ai/free/en/venues/icon/)**Ritesh Shah, Christian Boitet, Pushpak Bhattacharyya, et al.*2015 · 1 citation*
60. **[Investigating the potential of post-ordering SMT output to improve translation quality ↗](https://aclanthology.org/W15-5950/) Proceedings of the 12th International Conference on Natural Language Processing · no summary yet**Pratik Mehta, Anoop Kunchukuttan, Pushpak Bhattacharyya*2015 · 1 citation*
61. **[Assessing and Improving Punctuation Robustness in English-Marathi Machine Translation](https://md.research.elamur.ai/free/en/papers/shejole-2026-assessing-improving-punctuation-robustness-english/) [Workshop on Technologies for Machine Translation of Low-Resource Languages (LoResMT)](https://md.research.elamur.ai/free/en/venues/loresmt/)**Kaustubh Shivshankar Shejole, Sourabh Deoghare, Pushpak Bhattacharyya*2026*
62. **[How effective are VLMs in assisting humans in inferring the quality of mental models from Multimodal short answers?](https://md.research.elamur.ai/free/en/papers/sil-2026-how-effective-are-vlms-assisting/) [Conference of the European Chapter of the Association for Computational Linguistics (EACL)](https://md.research.elamur.ai/free/en/venues/eacl/)**Pritam Sil, Durgaprasad Karnam, Vinay Reddy Venumuddala, et al.*2026*
63. **[Rethinking Research on Stereotypes: An Analysis through Social Psychological and Computational Perspectives](https://md.research.elamur.ai/free/en/papers/shejole-2026-rethinking-research-stereotypes-analysis-through/) [Findings of the Association for Computational Linguistics](https://md.research.elamur.ai/free/en/venues/findings/)**Kaustubh Shivshankar Shejole, Pushpak Bhattacharyya*2026*
64. **[IndicQE-APE: A Consolidated Benchmark for Quality Estimation and Automatic Post-Editing for Indic Languages ↗](https://arxiv.org/abs/2608.16344) arXiv:2608.16344 · no summary yet**Diptesh Kanojia et al.*2026*
65. **[Nyay-Darpan: Enhancing Decision Making Through Summarization and Case Retrieval for Consumer Law in India ↗](https://aclanthology.org/2025.justnlp-main.8/) Proceedings of the 1st Workshop on NLP for Empowering Justice (JUST-NLP 2025) · no summary yet**Swapnil Bhattacharyya et al.*2025*
66. **[Comparing DAE-based and MASS-based UNMT: Robustness to Word-Order Divergence in English–\ensuremath>Indic Language Pairs](https://md.research.elamur.ai/free/en/papers/banerjee-2023-comparing-dae-based-mass-based/) [International Conference on Natural Language Processing (ICON)](https://md.research.elamur.ai/free/en/venues/icon/)**Tamali Banerjee, Rudra Murthy, Pushpak Bhattacharyya*2023*
67. **[APE-then-QE: Correcting then Filtering Pseudo Parallel Corpora for MT Training Data Creation ↗](https://arxiv.org/abs/2312.11312) arXiv:2312.11312 · no summary yet**Akshay Batheja et al.*2023*
68. **[Modelling Source- and Target- Language Syntactic Information as Conditional Context in Interactive Neural Machine Translation ↗](https://aclanthology.org/2020.eamt-1.21/) Proceedings of the 22nd Annual Conference of the European Association for Machine Translation · no summary yet**Kamal Kumar Gupta et al.*2020*
69. **[Weak Translation Problems – a case study of Scriptural Translation ↗](https://aclanthology.org/2010.jeptalnrecital-court.7/) Actes de la 17e conférence sur le Traitement Automatique des Langues Naturelles. Articles courts · no summary yet**Muhammad Ghulam Abbas Malik et al.*2010*