Latest Articles for Language Technology

Researchers develop methods to improve language models for various languages.

A new dataset aims to enhance Hindi language models for AI applications.

Using language models to improve tasks in underrepresented languages through data generation.

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

A new approach to enhance language models for diverse Indian languages.

Phi-3 models focus on safety and aligning with human values.

A groundbreaking Romanian dataset enhances language model development significantly.

This research enhances simultaneous machine translation efficiency using adaptable modular components.

This article discusses challenges in detecting hallucinations in machine translation across various languages.

New models improve language understanding by integrating dependency structures.

Dallah supports Arabic dialects, improving communication in text and images.

A new AI model focuses on supporting Southeast Asian languages.

New framework enhances speech recognition for diverse Arabic dialects.

Meltemi 7B brings advanced AI tools to Greek speakers.

New dataset improves AI question answering for Polish language.

New methods boost translations for unseen languages without extensive data.

ELM demonstrates the efficacy of smaller, context-specific language models in education.

Hindi-BEIR aims to improve information retrieval systems for Hindi content.

NEST offers a faster, more efficient approach to self-supervised speech tasks.

RedWhale model enhances Korean text understanding through specialized techniques.

A new method improves speech recognition for Hindi using pseudo-labeling techniques.

Research improves speech recognition for Hindi with diverse accents.

A new model designed to enhance Vietnamese language tasks through text and image processing.

A system to classify Literary and Colloquial Tamil dialects using sound features.

This article covers the development of open large language models for the Lithuanian language.

A look at LLM development and challenges for EU languages.

A look into Sparse Mamba, a method for better language model control.

Efforts to create tools for processing the Sindhi language through large text data collection.

InkubaLM aims to improve language processing for underrepresented African languages.

A new approach to enhance decoder models for different dialects.

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

Researching connections in biblical texts with advanced language models.

Enhancing spoken word identification through visual cues in under-resourced languages.

New methods improve understanding of spoken language through innovative dataset.

A new approach enhances research clarity using cognitive knowledge graphs and language models.

Examining how language affects the effectiveness of LLM-based recommendations.

Linguini tests assess how well models reason with diverse languages.

New methods enhance language models for individual user preferences.

Enhancing speech synthesis in Indian languages using inter-pausal units.

This research explores LLM effectiveness in various languages beyond English.