Code-Mixed to Monolingual Translation Framework-Reference-Cited by-同舟云学术

Code-Mixed to Monolingual Translation Framework

Published:2019-12-12 Issue: Volume: Page:
ISSN:
Container-title:Proceedings of the 11th Forum for Information Retrieval Evaluation
language:
Short-container-title:

Author:

Mahata Sainik Kumar¹,Mandal Soumil²,Das Dipankar¹,Bandyopadhyay Sivaji¹

Affiliation:

1. Jadavpur University, Kolkata, India

2. SRM University, Chennai, India

Funder

Visvesvaraya Ph.D Scheme, MEITY, Gov. of India

Publisher

ACM

Link

https://dl.acm.org/doi/pdf/10.1145/3368567.3368579

Reference27 articles.

1. Adequacy–Fluency Metrics: Evaluating MT in the Continuous Space Model Framework

2. A hybrid back-transliteration system for Japanese

3. Language Model Based Grammatical Error Correction without Annotated Training Data

4. Unraveling the English-Bengali Code-Mixing Phenomenon

5. Junyoung Chung Kyunghyun Cho and Yoshua Bengio. 2016. A character-level decoder without explicit segmentation for neural machine translation. arXiv preprint arXiv:1603.06147 (2016). Junyoung Chung Kyunghyun Cho and Yoshua Bengio. 2016. A character-level decoder without explicit segmentation for neural machine translation. arXiv preprint arXiv:1603.06147 (2016).

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