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Found 9 papers, 2 papers with code
Monolingual Adapters for Zero-Shot Neural Machine Translation
We propose a novel adapter layer formalism for adapting multilingual models.
Naver Labs Europe’s Participation in the Robustness, Chat, and Biomedical Tasks at WMT 2020
This paper describes Naver Labs Europe’s participation in the Robustness, Chat, and Biomedical Translation tasks at WMT 2020.
Revisiting Low Resource Status of Indian Languages in Machine Translation
Through this paper, we provide and analyse an automated framework to obtain such a corpus for Indian language neural machine translation (NMT) systems.
A Multilingual Parallel Corpora Collection Effort for Indian Languages
We present sentence aligned parallel corpora across 10 Indian Languages - Hindi, Telugu, Tamil, Malayalam, Gujarati, Urdu, Bengali, Oriya, Marathi, Punjabi, and English - many of which are categorized as low resource.
Towards Automatic Face-to-Face Translation
As today's digital communication becomes increasingly visual, we argue that there is a need for systems that can automatically translate a video of a person speaking in language A into a target language B with realistic lip synchronization.
Ranked #1 on
Talking Face Generation
on LRW
(using extra training data)
CVIT's submissions to WAT-2019
This paper describes the Neural Machine Translation systems used by IIIT Hyderabad (CVIT-MT) for the translation tasks part of WAT-2019.
A Baseline Neural Machine Translation System for Indian Languages
We present a simple, yet effective, Neural Machine Translation system for Indian languages.
A Cost Efficient Approach to Correct OCR Errors in Large Document Collections
Word error rate of an ocr is often higher than its character error rate.
CVIT-MT Systems for WAT-2018
This document describes the machine translation system used in the submissions of IIIT-Hyderabad CVIT-MT for the WAT-2018 English-Hindi translation task.
