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ORCIDShamil Chollampatt
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Conference and Workshop Papers
- 2024
[c13]Sathish Reddy Indurthi, Wenxuan Zhou, Shamil Chollampatt, Ravi Agrawal, Kaiqiang Song, Lingxiao Zhao, Chenguang Zhu:
Improving Multilingual Instruction Finetuning via Linguistically Natural and Diverse Datasets. EMNLP (Findings) 2024: 2306-2323- 2023
- [c12]Sathish Indurthi, Shamil Chollampatt, Ravi Agrawal, Marco Turchi:
CLAD-ST: Contrastive Learning with Adversarial Data for Robust Speech Translation. EMNLP 2023: 9049-9056 - [c11]Minh-Quang Pham, Sathish Indurthi, Shamil Chollampatt, Marco Turchi:
Select, Prompt, Filter: Distilling Large Language Models for Summarizing Conversations. EMNLP 2023: 12257-12265 - 2020
- [c10]Raymond Hendy Susanto, Shamil Chollampatt, Liling Tan:
Lexically Constrained Neural Machine Translation with Levenshtein Transformer. ACL 2020: 3536-3543 - [c9]Shamil Chollampatt, Raymond Hendy Susanto, Liling Tan, Ewa Szymanska:
Can Automatic Post-Editing Improve NMT? EMNLP (1) 2020: 2736-2746 - 2019
- [c8]Shamil Chollampatt, Weiqi Wang, Hwee Tou Ng:
Cross-Sentence Grammatical Error Correction. ACL (1) 2019: 435-445 - 2018
- [c7]Shamil Chollampatt, Hwee Tou Ng:
A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction. AAAI 2018: 5755-5762 - [c6]Shamil Chollampatt, Hwee Tou Ng:
A Reassessment of Reference-Based Grammatical Error Correction Metrics. COLING 2018: 2730-2741 - [c5]Shamil Chollampatt, Hwee Tou Ng:
Neural Quality Estimation of Grammatical Error Correction. EMNLP 2018: 2528-2539 - 2017
- [c4]Shamil Chollampatt, Hwee Tou Ng:
Connecting the Dots: Towards Human-Level Grammatical Error Correction. BEA@EMNLP 2017: 327-333 - 2016
- [c3]Shamil Chollampatt, Duc Tam Hoang, Hwee Tou Ng:
Adapting Grammatical Error Correction Based on the Native Language of Writers with Neural Network Joint Models. EMNLP 2016: 1901-1911 - [c2]Shamil Chollampatt, Kaveh Taghipour, Hwee Tou Ng:
Neural Network Translation Models for Grammatical Error Correction. IJCAI 2016: 2768-2774 - [c1]Duc Tam Hoang, Shamil Chollampatt, Hwee Tou Ng:
Exploiting N-Best Hypotheses to Improve an SMT Approach to Grammatical Error Correction. IJCAI 2016: 2803-2809
Informal and Other Publications
- 2024
- [i6]Sathish Reddy Indurthi, Wenxuan Zhou, Shamil Chollampatt, Ravi Agrawal, Kaiqiang Song, Lingxiao Zhao, Chenguang Zhu:
Improving Multilingual Instruction Finetuning via Linguistically Natural and Diverse Datasets. CoRR abs/2407.01853 (2024) - 2020
- [i5]Raymond Hendy Susanto, Shamil Chollampatt, Liling Tan:
Lexically Constrained Neural Machine Translation with Levenshtein Transformer. CoRR abs/2004.12681 (2020) - [i4]Shamil Chollampatt, Raymond Hendy Susanto, Liling Tan, Ewa Szymanska:
Can Automatic Post-Editing Improve NMT? CoRR abs/2009.14395 (2020) - 2018
- [i3]Shamil Chollampatt, Hwee Tou Ng:
A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction. CoRR abs/1801.08831 (2018) - 2016
- [i2]Shamil Chollampatt, Kaveh Taghipour, Hwee Tou Ng:
Neural Network Translation Models for Grammatical Error Correction. CoRR abs/1606.00189 (2016) - [i1]Duc Tam Hoang, Shamil Chollampatt, Hwee Tou Ng:
Exploiting N-Best Hypotheses to Improve an SMT Approach to Grammatical Error Correction. CoRR abs/1606.00210 (2016)
Coauthor Index
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