Latest Articles for Linguistics

A new benchmark for evaluating French language models enhances multilingual capabilities.

A look at how language models may represent beliefs and their implications.

How technology aids in modernizing dictionaries to reflect changing language.

A tool for examining the grammatical elements of various languages.

This article investigates how language models process verbal aspect in Russian.

Improving methods for assessing meaning similarity between sentences in natural language.

Explore how words change meaning over time and the factors influencing this process.

A look into palindromes and their importance in language, math, and computer science.

A new method to examine conversational tones in humans and AI.

Research merges regular expressions and fixed points for complex language definitions.

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

This study examines how structural priming affects language models and human behavior.

A new dataset aids in spotting subjective content in Arabic news articles.

Examining why vague terms are essential in our daily communication.

A new benchmark assesses multilingual model performance in semantic retrieval tasks.

A comprehensive dataset for Arabic handwritten text recognition and research.

This framework improves predictions for language models, especially in low-resource settings.

A new engine enhances access to Khmer language documents and improves search results.

This study highlights bias in language models responding to different English dialects.

GigaSpeech 2 offers a vast dataset for low-resource languages to improve speech recognition.

A novel method optimizing speech analysis and synthesis using vocal tract movements.

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

Exploring the dynamics of modal logic through various frameworks and semantics.

Examining the need for context in accurate sign language translation.

A new method improves machine translation for underrepresented languages.

This article discusses how deep neural networks learn language through next-token prediction.

A rich dataset of 2.7 million news articles from 1878 to 1977.

Examining language model issues with less common languages and proposing evaluation methods.

Examining the difficulties of translating metaphorical language in machine translation.

Examining how language models handle ambiguous Spanish words through a new dataset.

A study on Italy's regional languages using advanced speech analysis techniques.

A look into how sentence embeddings enhance language processing in AI.

New methods improve speech models for languages with limited data.

ViANLI presents new challenges for NLP models in Vietnamese language processing.

A new method enhances phoneme alignment accuracy for various speech applications.

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

This article discusses how Wav2Vec2.0 processes speech sounds using phonology.

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

A method to better group and understand word meanings in language.

A look at how language confusion affects AI text generation.