Maria Stasimioti

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Speech Translation Systems Fall Short on Prosody, Apple Researchers Find

Apple researchers find that speech translation systems struggle with prosody, affecting accuracy, and recommend improvements...

Apple and Adobe Researchers Tackle Cultural Nuances in AI Translation

Apple and Adobe researchers introduce a machine translation model that dynamically retrieves culturally relevant terms...

Google Says There’s a Better Way to Create High-Quality Training Data for AI Translation

Google research finds that human-refined AI translations or LLM-enhanced human translations may serve as alternatives...

Researchers Open Source Toolkit to Make AI Translation More ‘Explainable’

Researchers introduce an evaluation toolkit for machine translation, integrating fine-grained error analysis, explainability, and a...

New Real-Time AI Translation Method Draws Inspiration from Simultaneous Interpreters

Research proposes a new method that allows simultaneous machine translation models to adapt their read/write...

Large Language Models No Match for Humans in Literary Translation, Study Finds

Research shows that in the era of large language models, literary translation remains “an exclusive...

AI Translated Benchmarks Can Reliably Assess LLM Performance, Study Finds

The OpenGPT-X Team released machine-translated versions of five benchmarks in 20 European languages for consistent...

Microsoft Re-Interprets Neural Machine Translation Models as Language Models

Microsoft researchers bring traditional neural machine translation models closer to the capabilities of large language...

With MetricX-24 Google Presents Latest Machine Translation Evaluation Metric

Google presents MetricX-24, its latest machine translation evaluation metric, which demonstrates significant performance improvements over...

Google Finds ‘Refusal to Translate’ Most Common Form of LLM Verbosity

Google researchers reveal that verbose large language models, which offer multiple translations or refuse to...

Microsoft and Johns Hopkins Unveil Multilingual AI Translation Model for 50 Languages

Johns Hopkins and Microsoft researchers present a new LLM-based multilingual translation model. The team calls...

A Primer on Decoder-Only vs Encoder-Decoder Models for AI Translation

Recent research sheds light on the strengths and weaknesses of encoder-decoder and decoder-only models architectures...

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