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Shamil Chollampatt
Shamil Chollampatt
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A Multilayer Convolutional Encoder-Decoder Neural Network for Grammatical Error Correction
S Chollampatt, HT Ng
AAAI 2018, 2018
2752018
Lexically Constrained Neural Machine Translation with Levenshtein Transformer
RH Susanto, S Chollampatt, L Tan
ACL 2020, 2020
852020
Neural Network Translation Models for Grammatical Error Correction
S Chollampatt, K Taghipour, HT Ng
IJCAI 2016, 2016
762016
Connecting the Dots: Towards Human-Level Grammatical Error Correction
S Chollampatt, HT Ng
BEA Workshop 2017, 2017
582017
Neural Quality Estimation of Grammatical Error Correction
S Chollampatt, HT Ng
EMNLP 2018, 2018
492018
Adapting Grammatical Error Correction Based on the Native Language of Writers with Neural Network Joint Models
S Chollampatt, DT Hoang, HT Ng
EMNLP 2016, 2016
472016
Cross-Sentence Grammatical Error Correction
S Chollampatt, W Wang, HT Ng
ACL 2019, 2019
422019
Can Automatic Post-Editing Improve NMT?
S Chollampatt, RH Susanto, L Tan, E Szymanska
EMNLP 2020, 2020
282020
Exploiting N-Best Hypotheses to Improve an SMT Approach to Grammatical Error Correction
DT Hoang, S Chollampatt, HT Ng
IJCAI 2016, 2016
282016
A Reassessment of Reference-based Grammatical Error Correction Metrics
S Chollampatt, HT Ng
COLING 2018, 2018
192018
Select, Prompt, Filter: Distilling Large Language Models for Summarizing Conversations
MQ Pham, S Indurthi, S Chollampatt, M Turchi
EMNLP 2023, 2023
32023
Improving multilingual instruction finetuning via linguistically natural and diverse datasets
SR Indurthi, W Zhou, S Chollampatt, R Agrawal, K Song, L Zhao, C Zhu
arXiv preprint arXiv:2407.01853, 2024
12024
CLAD-ST: Contrastive Learning with Adversarial Data for Robust Speech Translation
S Indurthi, S Chollampatt, R Agrawal, M Turchi
EMNLP 2023, 2023
12023
Translation Models for Grammatical Error Correction
S Chollampatt
National University of Singapore, 2018
2018
Select, Prompt, Filter: Distilling Large Language Models for Summarizing Conversations
P Minh-Quang, SR Indurthi, S Chollampatt, M Turchi
The 2023 Conference on Empirical Methods in Natural Language Processing, 0
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