Latest Articles for Language Learning

New methods combine visual and text inputs for improved language learning in machines.

Study reveals key factors influencing back-translation effectiveness.

A new layer of annotation aims to improve language analysis in UD treebanks.

New methods improve quality of dictionary example sentences via language models.

This study examines how letter positions reveal word complexity.

A model shows mutual exclusivity bias in word association tests.

Explore how GPT-4 improves analytic scoring for second language writing.

A look at how machine translation handles language formality.

Examining how speech styles aid language learners' comprehension and processing.

This study examines essential skills for children's reading in Arabic.

Examining the role of AI tools in enhancing English education while addressing potential risks.

A new method improves translation quality through effective data augmentation.

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

Study explores methods for adapting AI text for language learners.

Children learn language by merging meaning and grammar through visual and textual inputs.

A new method improves voice conversion between languages while preserving speaker traits.

A new system generates mnemonics to aid vocabulary retention based on student feedback.

New dataset aims to improve voice recognition for non-native English speakers.

Introducing a framework for assessing communication skills in ESL dialogues.

Researchers improve translation skills for over 100 languages, focusing on low-resource languages.

This article explores computer models in understanding construction grammar and language learning.

A platform designed to support EFL students in improving presentation skills.

This study presents a method to detect errors in lesser-known languages.

Research on better translating low-resource languages using example selection techniques.

A fresh method enhances natural speech synthesis across languages.

Understanding misunderstandings between native and non-native speakers.

A look into how language models influence our understanding of language.

A new system enhances speech clarity for language learners by focusing on accent training.

A novel method for providing grammatical error feedback to language learners.

DUSTED improves efficiency in identifying spoken words by analyzing phonetic patterns.

A study on how children learn languages through modeled interactions.

A new approach improves dysfluency modeling for therapy and language learning.

This study examines tone changes in spoken Taiwanese Mandarin during everyday conversations.

CNIMA assesses conversational skills for learners of Chinese as a second language.

A new model enhances evaluation of speaking skills by focusing on coherence.

A new system enhances accent accuracy in TTS for better communication.

Studying how to group students for effective language placement tests.

A new method for generating accented speech using text transliteration.

Learn how VR can assist non-native speakers in managing social anxiety.

Researchers use language models to simplify vocabulary learning with mnemonics.