Latest Articles for Machine Translation

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

A study on the performance of various metrics for machine translations.

This year, NADI focused on improving Arabic dialect identification and translation.

New models show promise in translating longer texts efficiently.

BinaryAlign improves word alignment accuracy for both high and low-resource languages.

ZeroMMT uses monolingual multimodal data to enhance translation without expensive datasets.

This article discusses challenges in detecting hallucinations in machine translation across various languages.

A new dataset shows promise in improving machine translation models.

A study on using language models for translating Wikipedia categories from English to Vietnamese.

PyMarian connects Python users to fast translation models with ease.

Examining IKUN and IKUN-C's role in translating multiple languages effectively.

Examining the role of data in enhancing translation for low-resource languages.

A look at the strengths and challenges of using COMET for machine translation assessment.

Updates enhance the FLORES dataset for Hausa, Northern Sotho, Xitsonga, and isiZulu.

A novel approach aims to improve accuracy in language translation tasks.

Study shows fine-tuning LLMs with TMs enhances translation quality for organizations.

Enhancing language models for better Arabic dialect generation and cultural awareness.

Learn how arithmetic sampling improves text generation in language models.

CULL-MT streamlines multilingual translation models for improved efficiency and performance.

A study on improving language translation for endangered languages using advanced models.

A fresh method for aligning documents across languages using a new benchmark.

MT-Lens offers a comprehensive toolkit for better machine translation assessments.

A new method improves how machines translate pronouns with greater accuracy.

M-MAD enhances translation quality through multi-agent debate.