Latest Articles for Linguistics

Methods to improve speech translation systems for underrepresented languages.

New methods enhance speech synthesis for Swiss German from standard German text.

Exploring methods for improved multilingual speech recognition in Indian languages.

A new dataset to enhance machine understanding of implied meanings in dialogue.

Explore the key concepts and approaches in dependency parsing for natural language processing.

Researchers examine how GSLM processes speech in noisy environments.

A new corpus for translating Cantonese audio to English text.

A study on using machine learning to predict gender in Swedish nouns.

This study presents a new system for detecting pronunciation errors in language learners.

New dataset improves language models' understanding across languages.

Boosting language models' performance for languages with limited data.

This paper examines LLMs' challenges with semantic concepts like universal quantification.

A new method improves speech recognition accuracy for African accents.

New methods improve translation accuracy while using specific vocabulary.

Examining the impact of detailed evaluations on speech synthesis systems.

Research reveals complex relationships in language evolution through updated models and methods.

A new method enhances understanding of deverbal nouns in language processing.

A new method improves authorship attribution using advanced techniques and text analysis.

A new graph-based method enhances event extraction from text.

A framework to improve identification of direct speech in French literature.

Researchers develop methods to assess translation quality using training data.

A new method enhances speech recognition for dysarthric Arabic speakers.

Allophant enhances phoneme recognition for languages with limited data.

A study on dialects of Sinitic languages using advanced machine learning techniques.

Self-supervised models reveal insights into phonetic and phonemic distinctions in speech.

This study introduces a dataset to evaluate word complexity for non-native Japanese readers.

This article tackles data challenges for Nigerian Pidgin processing systems.

This study focuses on improving spoken NER through transfer learning and E2E models.

PauseSpeech enhances TTS systems with natural-sounding speech through improved pausing.

Researchers improve ancient language sound predictions with new modeling techniques.

This article highlights the need to include non-verbal predicates in SRL research.

This article explores how language models predict and generate emotional text.

Recent research improves ASR models for Norwegian, enhancing performance in Bokmål and Nynorsk.

Research reveals the brain's complex methods for understanding spoken language.

SpaceNLI tests computer systems' ability to understand spatial reasoning in language.

A new dataset enhances spoken language understanding for Italian.

Introducing a system that makes text easier to read across multiple languages.

Research focuses on enhancing speech tech for languages lacking sufficient data.

Study examines how word predictability affects reading times in multiple languages.

This study examines how people connect thoughts in everyday chats.