Latest Articles for Linguistics

This study reveals how knowledge transfer enhances translation quality for low-resource languages.

This article examines a fresh approach to understanding how word meanings vary across texts.

Study shows CNNs can create word combinations from raw speech data.

Research highlights advancements in language understanding and processing through various methods and datasets.

New datasets help assess language models in less spoken languages.

Strategies to create effective chatbots in languages with limited resources.

A new model, SimpleBART, improves text simplification for better understanding.

A new framework enhances language processing for underrepresented languages.

This article discusses aligning Norwegian language datasets for improved text processing.

This study enhances readability assessment models for low-resource languages in the Philippines.

Study assesses methods for evaluating language models in understanding language.

A new method enhances evaluation metrics for speech translation in dialects.

Research shows biases can transfer across languages in sentiment analysis.

A study on detecting propaganda techniques in bilingual posts.

Analyzing the impact of model size and data type on translation methods.

New method builds bilingual lexicons using high-resource languages.

ReadMe++ offers diverse sentences for assessing readability in Arabic, English, and Hindi.

A simple method improves translation of sentences between different languages.

Explore the connections between word usage and frequency in language.

A deep dive into our framework for simplifying complex texts.

Evaluating translation metrics using pairwise accuracy and tie calibration to address ties.

A study on the effectiveness of multilingual LLMs in handling code-switching.

This study assesses the performance of language models on Brazilian Portuguese tasks.

Uniting spoken and written language for better communication models.

New model improves language identification, focusing on low-resource languages and quality data.

Research focuses on improving tense accuracy in translations across languages.

This article examines challenges and solutions in morphological inflection evaluation methods.

This study examines how text changes confuse NLP models while remaining clear to humans.

This research analyzes feelings in endangered languages using resources from larger languages.

Investigating how word structure impacts parsing with altered sentences.

New methods improve readability by tailoring text to specific audiences.

This article examines parsing challenges in Dutch due to language ambiguity.

This article examines how noise affects morphological inflection model performance.

This study examines how well language models understand scalar adverbs.

Exploring ASR performance across different accents and its implications.

New benchmark reveals translation difficulties across various dialects.

NeQA dataset assesses language models' ability to understand negation in questions.

A study on filling missing verbal elements in sentences for better machine understanding.

Research shows improved detection of hyperbole and metaphor in AI communication.

This article examines methods to enhance language models for diverse languages.