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Orthographic Syllable as basic unit for SMT between Related Languages

Orthographic Syllable as basic unit for SMT between Related Languages

3 October 2016
Anoop Kunchukuttan
P. Bhattacharyya
    VLM
ArXivPDFHTML

Papers citing "Orthographic Syllable as basic unit for SMT between Related Languages"

6 / 6 papers shown
Title
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
Evaluating Various Tokenizers for Arabic Text Classification
Evaluating Various Tokenizers for Arabic Text Classification
Zaid Alyafeai
Maged S. Al-Shaibani
Mustafa Ghaleb
Irfan Ahmad
37
41
0
14 Jun 2021
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
Anoop Kunchukuttan
P. Bhattacharyya
14
21
0
19 Mar 2020
A Comprehensive Survey of Multilingual Neural Machine Translation
A Comprehensive Survey of Multilingual Neural Machine Translation
Raj Dabre
Chenhui Chu
Anoop Kunchukuttan
LRM
33
33
0
04 Jan 2020
BPE-Dropout: Simple and Effective Subword Regularization
BPE-Dropout: Simple and Effective Subword Regularization
Ivan Provilkov
Dmitrii Emelianenko
Elena Voita
38
276
0
29 Oct 2019
Enabling Multi-Source Neural Machine Translation By Concatenating Source
  Sentences In Multiple Languages
Enabling Multi-Source Neural Machine Translation By Concatenating Source Sentences In Multiple Languages
Raj Dabre
Fabien Cromierès
Sadao Kurohashi
27
31
0
20 Feb 2017
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