130 citations · 186 across the 6 of their papers we have counts for
6 papers
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…
Towards Automatic Face-to-Face Translation
Prajwal K R, Rudrabha Mukhopadhyay, Jerin Philip +3
In light of the recent breakthroughs in automatic machine translation systems, we propose a novel approach that we term as "Face-to-Face Translation". As today's digital communicat…
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…
A Cost Efficient Approach to Correct OCR Errors in Large Document Collections
Deepayan Das, Jerin Philip, Minesh Mathew +1
Word error rate of an ocr is often higher than its character error rate. This is especially true when ocrs are designed by recognizing characters. High word accuracies are critical…
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…