Latest Articles for Low-resource Languages

M2Lingual dataset improves instruction-following capabilities across various languages.

New methods improve speech models for languages with limited data.

A new method improves language model performance in low-resource languages.

Integrating graph knowledge improves performance in low-resource languages using language adapters.

Advancing task-solving models for languages with limited data through innovative merging techniques.

A new method reduces awkward translations using visual aids in data collection.

A new dataset aims to improve understanding of code-switching across multiple languages.

BinaryAlign improves word alignment accuracy for both high and low-resource languages.

This article discusses methods to enhance ASR for languages with limited data.

A new dataset to assess question-answering in Indian languages.

A new AI model focuses on supporting Southeast Asian languages.

The study highlights challenges LLMs face with low-resource languages.

This study aims to improve QA systems for languages with limited data.

Examining the role of data in enhancing translation for low-resource languages.

Exploring how GANs can enhance translation for languages with limited data.

This article explores methods for improving text-to-speech systems for underrepresented languages.

Research focuses on enhancing language learning through visually grounded speech models.

Exploring the social and ethical issues in gathering language data from diverse communities.

This study addresses challenges in audio language models for low-resource languages.

This research explores LLM effectiveness in various languages beyond English.

Introducing LowREm, a tool for enhancing word embeddings in underrepresented languages.

Examining the role of grammar books in translating low-resource languages.

Assessing language models' understanding of proverbs in low-resource languages.

Examining how language models handle grammar in lesser-known languages.

A study on improving language translation for endangered languages using advanced models.

Discover how new models are improving Luxembourgish language tech.

Tackling the challenges of data collection in specialized, low-resource languages.

A new framework boosts language models for low-resource languages.

New technology helps individuals find content across languages effortlessly.

Addressing challenges of low-resource languages in natural language processing.