Latest Articles for Language Technology

This study focuses on enhancing grammatical error correction using synthetic errors.

A new method enhances parsing efficiency and accuracy for Hebrew language processing.

This article discusses solutions for speech applications in languages with limited transcribed data.

Research focuses on enhancing translation capabilities for Taiwanese Hokkien language.

A detailed approach to assessing machine translation quality with Multidimensional Quality Metrics.

A study on measuring how similar spoken phrases are in conversations.

Efforts to enhance sentence embeddings for better handling of informal language.

This study compares SES methods for improved lemmatization across multiple languages.

New methods improve language processing across diverse languages.

New language models designed for diverse languages in South-East Asia show promising results.

A method to improve language model performance across diverse languages during compression.

Cendol enhances language tech for Indonesia's diverse languages and cultures.

A dataset explores how cultural views shape the perception of offensive language.

A study on labeling patient comments to enhance healthcare services.

New dataset aims to improve translation tools for Creole language speakers.

Examining the impact of gender bias in Hindi language tools.

A study on word embeddings in Turkish, evaluating static and contextual models.

This paper discusses gender-inclusive language improvements in machine translation systems.

Adapting chat models to support non-English languages for broader access.

Examining fairness and ethics of how language models respond to users.

Explore how text embeddings shape language processing and improve machine understanding.

State space models offer efficient processing in natural language tasks, challenging traditional transformers.

Introducing IrokoBench to improve LLM evaluation in African languages.

A study on enhancing ASR for Arabic dialects using efficient model techniques.

A look at advancements in language models for Indic languages and their challenges.

New methods enhance text rendering quality in multiple languages.

A new approach to enhance language models for low-resource languages.

Two new models aim to improve technology access for Galician speakers.

This study investigates the effectiveness of FActScore in multiple languages.

Research shows how multilingual feedback can enhance language model reliability.

M2Lingual dataset improves instruction-following capabilities across various languages.

This study investigates biases in Bangla language models and their societal effects.

A benchmark of minimal pairs aims to improve understanding of Russian grammar by language models.

A new method to detect and correct inaccuracies in language models.

A new method uses translation to enhance language model training.

This paper discusses a method to enhance translation quality by addressing data noise.

New methods enhance machine understanding of Arabic through diacritics.

A new benchmark tackles language model performance worldwide.

Improving speech recognition systems for languages with limited online data.

Introducing DictaLM 2.0 and DictaLM 2.0-Instruct for improved Hebrew language processing.