( en | de | ru )

 

Disambiguation of "Kunchukuttan, Anoop"

Author of the publication

copydeleteadd this publication to your clipboard
Learning variable length units for SMT between related languages via Byte Pair Encoding.

, and . SWCN@EMNLP, page 14-24. Association for Computational Linguistics, (2017)

Please choose a person to relate this publication to

To differ between persons with the same name, the academic degree and the title of an important publication will be displayed. You can also use the button next to the name to display some publications already assigned to the person.

Anoop Ambili

Anoop Gupta

Anoop Chandran P

 

Other publications of authors with the same name

Towards Leaving No Indic Language Behind: Building Monolingual Corpora, Benchmark and Models for Indic Languages., , , , , , and . ACL (1), page 12402-12426. Association for Computational Linguistics, (2023)Overview of the 6th Workshop on Asian Translation., , , , , , , , , and 2 other author(s). WAT@EMNLP-IJCNLP, page 1-35. Association for Computational Linguistics, (2019)Comparing Recurrent and Convolutional Architectures for English-Hindi Neural Machine Translation., , , and . WAT@IJCNLP, page 167-170. Asian Federation of Natural Language Processing, (2017)TransDoop: A Map-Reduce based Crowdsourced Translation for Complex Domain., , , , and . ACL (Conference System Demonstrations), page 175-180. The Association for Computer Linguistics, (2013)IndicLLMSuite: A Blueprint for Creating Pre-training and Fine-Tuning Datasets for Indian Languages., , , , , , , , , and 2 other author(s). CoRR, (2024)Contact Relatedness can help improve multilingual NMT: Microsoft STCI-MT @ WMT20., , , , and . WMT@EMNLP, page 202-206. Association for Computational Linguistics, (2020)Bilingual Tabular Inference: A Case Study on Indic Languages., , , and . NAACL-HLT, page 4018-4037. Association for Computational Linguistics, (2022)Towards Building ASR Systems for the Next Billion Users., , , , , , , and . AAAI, page 10813-10821. AAAI Press, (2022)Investigating the potential of post-ordering SMT output to improve translation quality., , and . ICON, page 351-356. NLP Association of India, (2015)IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages., , , , , , , , , and 4 other author(s). Trans. Mach. Learn. Res., (2023)