Anoop Kunchukuttan

research

∙ 05/25/2023

IndicTrans2: Towards High-Quality and Accessible Machine Translation Models for all 22 Scheduled Indian Languages

India has a rich linguistic landscape with languages from 4 major langua...

0 AI4Bharat, et al. ∙

research

∙ 05/25/2023

Bhasha-Abhijnaanam: Native-script and romanized Language Identification for 22 Indic languages

We create publicly available language identification (LID) datasets and ...

0 Yash Madhani, et al. ∙

research

∙ 05/23/2023

In-context Example Selection for Machine Translation Using Multiple Features

Large language models have demonstrated the capability to perform well o...

0 Aswanth Kumar, et al. ∙

research

∙ 05/12/2023

A Comprehensive Analysis of Adapter Efficiency

Adapters have been positioned as a parameter-efficient fine-tuning (PEFT...

0 Nandini Mundra, et al. ∙

research

∙ 05/09/2023

Utilizing Lexical Similarity to Enable Zero-Shot Machine Translation for Extremely Low-resource Languages

We address the task of machine translation from an extremely low-resourc...

0 Kaushal Kumar Maurya, et al. ∙

research

∙ 12/20/2022

IndicMT Eval: A Dataset to Meta-Evaluate Machine Translation metrics for Indian Languages

The rapid growth of machine translation (MT) systems has necessitated co...

0 Ananya B. Sai, et al. ∙

research

∙ 12/20/2022

Naamapadam: A Large-Scale Named Entity Annotated Data for Indic Languages

We present, Naamapadam, the largest publicly available Named Entity Reco...

0 Arnav Mhaske, et al. ∙

research

∙ 12/11/2022

IndicXTREME: A Multi-Task Benchmark For Evaluating Indic Languages

In this work, we introduce IndicXTREME, a benchmark consisting of nine d...

0 Sumanth Doddapaneni, et al. ∙

research

∙ 08/26/2022

Effectiveness of Mining Audio and Text Pairs from Public Data for Improving ASR Systems for Low-Resource Languages

End-to-end (E2E) models have become the default choice for state-of-the-...

1 Kaushal Santosh Bhogale, et al. ∙

research

∙ 08/24/2022

IndicSUPERB: A Speech Processing Universal Performance Benchmark for Indian languages

A cornerstone in AI research has been the creation and adoption of stand...

0 Tahir Javed, et al. ∙

research

∙ 05/06/2022

Aksharantar: Towards building open transliteration tools for the next billion users

We introduce Aksharantar, the largest publicly available transliteration...

0 Yash Madhani, et al. ∙

research

∙ 11/06/2021

Towards Building ASR Systems for the Next Billion Users

Recent methods in speech and language technology pretrain very LARGE mod...

3 Tahir Javed, et al. ∙

research

∙ 10/14/2021

An Empirical Investigation of Multi-bridge Multilingual NMT models

In this paper, we present an extensive investigation of multi-bridge, ma...

0 Anoop Kunchukuttan, et al. ∙

research

∙ 09/07/2021

IndicBART: A Pre-trained Model for Natural Language Generation of Indic Languages

In this paper we present IndicBART, a multilingual, sequence-to-sequence...

7 Raj Dabre, et al. ∙

research

∙ 07/01/2021

A Primer on Pretrained Multilingual Language Models

Multilingual Language Models (MLLMs) such as mBERT, XLM, XLM-R, etc. hav...

4 Sumanth Doddapaneni, et al. ∙

research

∙ 06/06/2021

Itihasa: A large-scale corpus for Sanskrit to English translation

This work introduces Itihasa, a large-scale translation dataset containi...

1 Rahul Aralikatte, et al. ∙

research

∙ 04/12/2021

Samanantar: The Largest Publicly Available Parallel Corpora Collection for 11 Indic Languages

We present Samanantar, the largest publicly available parallel corpora c...

14 Gowtham Ramesh, et al. ∙

research

∙ 04/30/2020

AI4Bharat-IndicNLP Corpus: Monolingual Corpora and Word Embeddings for Indic Languages

We present the IndicNLP corpus, a large-scale, general-domain corpus con...

0 Anoop Kunchukuttan, et al. ∙

research

∙ 04/20/2020

Learning Geometric Word Meta-Embeddings

We propose a geometric framework for learning meta-embeddings of words f...

0 Pratik Jawanpuria, et al. ∙

research

∙ 03/19/2020

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

In this work, we present an extensive study of statistical machine trans...

0 Anoop Kunchukuttan, et al. ∙

research

∙ 01/04/2020

A Comprehensive Survey of Multilingual Neural Machine Translation

We present a survey on multilingual neural machine translation (MNMT), w...

0 Raj Dabre, et al. ∙

research

∙ 05/14/2019

A Survey of Multilingual Neural Machine Translation

We present a survey on multilingual neural machine translation (MNMT), w...

0 Raj Dabre, et al. ∙

research

∙ 11/01/2018

Addressing word-order Divergence in Multilingual Neural Machine Translation for extremely Low Resource Languages

Transfer learning approaches for Neural Machine Translation (NMT) train ...

0 Rudra Murthy V, et al. ∙

research

∙ 10/03/2018

McTorch, a manifold optimization library for deep learning

In this paper, we introduce McTorch, a manifold optimization library for...

0 Mayank Meghwanshi, et al. ∙

research

∙ 08/27/2018

Learning Multilingual Word Embeddings in Latent Metric Space: A Geometric Approach

We propose a novel geometric approach for learning bilingual mappings gi...

0 Pratik Jawanpuria, et al. ∙

research

∙ 08/27/2018

Learning Multilingual Word Embeddings in a Latent Metric Space: A Geometric Approach

We propose a novel geometric approach for learning bilingual mappings gi...

0 Pratik Jawanpuria, et al. ∙

research

∙ 10/08/2017

The IIT Bombay English-Hindi Parallel Corpus

We present the IIT Bombay English-Hindi Parallel Corpus. The corpus is a...

0 Anoop Kunchukuttan, et al. ∙

research

∙ 02/23/2017

Utilizing Lexical Similarity between Related, Low-resource Languages for Pivot-based SMT

We investigate pivot-based translation between related languages in a lo...

0 Anoop Kunchukuttan, et al. ∙

research

∙ 11/01/2016

Faster decoding for subword level Phrase-based SMT between related languages

A common and effective way to train translation systems between related ...

0 Anoop Kunchukuttan, et al. ∙

research

∙ 10/20/2016

Learning variable length units for SMT between related languages via Byte Pair Encoding

We explore the use of segments learnt using Byte Pair Encoding (referred...

0 Anoop Kunchukuttan, et al. ∙

research

∙ 10/03/2016

Orthographic Syllable as basic unit for SMT between Related Languages

We explore the use of the orthographic syllable, a variable-length conso...

0 Anoop Kunchukuttan, et al. ∙

Anoop Kunchukuttan

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