The emergence of ChatGPT has generated much speculation in the press about its potential
to disrupt social and economic systems. Its astonishing language ability has aroused strong …

Text Generation aims to produce plausible and readable text in human language from input
data. The resurgence of deep learning has greatly advanced this field, in particular, with the …

We present NusaCrowd, a collaborative initiative to collect and unify existing resources for
Indonesian languages, including opening access to previously non-public resources …

This paper presents XLS-R, a large-scale model for cross-lingual speech representation
learning based on wav2vec 2.0. We train models with up to 2B parameters on nearly half a …

Datasets are foundational to many breakthroughs in modern artificial intelligence. Many
recent achievements in the space of natural language processing (NLP) can be attributed to …

We present a survey covering the state of the art in low-resource machine translation (MT)
research. There are currently around 7,000 languages spoken in the world and almost all …

We present Maestro, a self-supervised training method to unify representations learnt from
speech and text modalities. Self-supervised learning from speech signals aims to learn the …

India has a rich linguistic landscape with languages from 4 major language families spoken
by over a billion people. 22 of these languages are listed in the Constitution of India …

Given a document in a source language, cross-lingual summarization (CLS) aims to
generate a summary in a different target language. Recently, the emergence of Large …

Cross-lingual summarization is the task of generating a summary in one language (eg,
English) for the given document (s) in a different language (eg, Chinese). Under the …