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Utilizing Language Relatedness to improve Machine Translation: A Case
  Study on Languages of the Indian Subcontinent

Utilizing Language Relatedness to improve Machine Translation: A Case Study on Languages of the Indian Subcontinent

19 March 2020
Anoop Kunchukuttan
P. Bhattacharyya
ArXivPDFHTML

Papers citing "Utilizing Language Relatedness to improve Machine Translation: A Case Study on Languages of the Indian Subcontinent"

5 / 5 papers shown
Title
Towards Building ASR Systems for the Next Billion Users
Towards Building ASR Systems for the Next Billion Users
Tahir Javed
Sumanth Doddapaneni
A. Raman
Kaushal Bhogale
Gowtham Ramesh
Anoop Kunchukuttan
Pratyush Kumar
Mitesh M. Khapra
44
54
0
06 Nov 2021
Analyzing the Use of Character-Level Translation with Sparse and Noisy
  Datasets
Analyzing the Use of Character-Level Translation with Sparse and Noisy Datasets
Jörg Tiedemann
Preslav Nakov
42
21
0
27 Sep 2021
Faster decoding for subword level Phrase-based SMT between related
  languages
Faster decoding for subword level Phrase-based SMT between related languages
Anoop Kunchukuttan
P. Bhattacharyya
46
11
0
01 Nov 2016
Reordering rules for English-Hindi SMT
Reordering rules for English-Hindi SMT
Raj Nath Patel
Rohit Gupta
P. B. Pimpale
M. Sasikumar
LRM
42
29
0
24 Oct 2016
Google's Neural Machine Translation System: Bridging the Gap between
  Human and Machine Translation
Google's Neural Machine Translation System: Bridging the Gap between Human and Machine Translation
Yonghui Wu
M. Schuster
Zhehuai Chen
Quoc V. Le
Mohammad Norouzi
...
Alex Rudnick
Oriol Vinyals
G. Corrado
Macduff Hughes
J. Dean
AIMat
718
6,750
0
26 Sep 2016
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