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Zeeshan Khan, Kartheek Akella, Vinay P. Namboodiri +1
This work studies the long-standing problems of model capacity and negative interference in multilingual neural machine translation MNMT. We use network pruning techniques and obse…
Exploring Pair-Wise NMT for Indian Languages
Kartheek Akella, Sai Himal Allu, Sridhar Suresh Ragupathi +4
In this paper, we address the task of improving pair-wise machine translation for specific low resource Indian languages. Multilingual NMT models have demonstrated a reasonable amo…
Revisiting Low Resource Status of Indian Languages in Machine Translation
Jerin Philip, Shashank Siripragada, Vinay P. Namboodiri +1
Indian language machine translation performance is hampered due to the lack of large scale multi-lingual sentence aligned corpora and robust benchmarks. Through this paper, we prov…
A Multilingual Parallel Corpora Collection Effort for Indian Languages
Shashank Siripragada, Jerin Philip, Vinay P. Namboodiri +1
We present sentence aligned parallel corpora across 10 Indian Languages - Hindi, Telugu, Tamil, Malayalam, Gujarati, Urdu, Bengali, Oriya, Marathi, Punjabi, and English - many of w…
A Baseline Neural Machine Translation System for Indian Languages
Jerin Philip, Vinay P. Namboodiri, C. V. Jawahar
We present a simple, yet effective, Neural Machine Translation system for Indian languages. We demonstrate the feasibility for multiple language pairs, and establish a strong basel…
CVIT-MT Systems for WAT-2018
Jerin Philip, Vinay P. Namboodiri, C. V. Jawahar
This document describes the machine translation system used in the submissions of IIIT-Hyderabad CVIT-MT for the WAT-2018 English-Hindi translation task. Performance is evaluated o…