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2 months ago | 
slator.com | Maria Stasimioti
Chinese AI company DeepSeek made headlines in late January 2025 by launching large language models (LLMs) DeepSeek-R1 and DeepSeek-V3. DeepSeek is based in Hangzhou, a large city and major tech hub near Shanghai, which is also home to Alibaba. The reason for all that buzz? The models are open-source, DeepSeek-R1 delivers performance comparable to OpenAI’s ChatGPT o1, and they reportedly operate at a fraction of the cost.
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2 months ago | 
slator.com | Maria Stasimioti
A team of researchers from USIU-Africa, Kabarak University, and Maseno University have created language resources for three low-resource Kenyan languages — Kidaw’ida, Kalenjin, and Dholuo. The goal of the project is to improve natural language processing (NLP) applications, support linguistic research, and promote linguistic diversity in AI development.
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2 months ago | 
slator.com | Maria Stasimioti
The Sapienza natural language processing (NLP) group — a team of researchers from the Sapienza University of Rome — and Apple have joined forces to launch a so-called shared task. A shared task is a collaborative competition or research challenge where participants work on solving specific problems in a field. This particular task focuses on entity-aware machine translation (EA-MT).
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Jan 16, 2025 | 
slator.com | Maria Stasimioti
Gender bias in speech translation (ST) systems has long been a concern for researchers and users alike. In a January 10, 2025 paper, researchers from Microsoft Speech and Language Group presented their approach to addressing speaker gender bias in large-scale ST systems. The researchers identified a persistent masculine bias in ST systems, even in cases where the speaker’s gender is evident from audio cues.
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Jan 15, 2025 | 
slator.com | Maria Stasimioti
On January 7, 2025, Narcisse Zekpa and Ajeeb Peter published an article on the AWS Machine Learning Blog titled “Evaluate large language models for your machine translation tasks on AWS.” This is the latest in a series of “how to” articles intended to assist AWS’s customers with diverse tasks. The article describes a way to work with real-time machine translation (MT) using foundation models (FMs) available in Amazon Bedrock.
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Jan 13, 2025 | 
slator.com | Maria Stasimioti
In a December 21, 2024 paper, researchers from Amazon introduced the audio-visual speech-to-speech translation (AVS2S) framework, designed to improve lip-synchrony in AI dubbing without altering the original visual content. Existing dubbing systems frequently modify visual elements to synchronize with generated audio. This often leads to disjointed experiences, raises ethical concerns, and compromises the integrity of the original video, the researchers explained.
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Jan 8, 2025 | 
slator.com | Maria Stasimioti
In a December 29, 2024 paper, researchers Pratik Rakesh Singh, Mohammadi Zaki, and Pankaj Wasnik from Sony Research India introduced a framework aimed at improving translations for entertainment content in Indian languages.
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Jan 6, 2025 | 
slator.com | Maria Stasimioti |Alex Edwards |Seyma Albarino |Rocío Txabarriaga
Skip to content Researchers unveil EmoDubber, an AI dubbing system offering precision in lip-sync, and dynamic control over emotion type and density. The company releases the much anticipated AI dubbing feature in eight languages, as it sets expectations for quality output. YouTube hints at future updates to improve output. As SAG-AFTRA continues to strike, affecting more than 130 gaming companies, the updated agreement would apply to individual projects produced in a non-English language.
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Dec 20, 2024 | 
slator.com | Maria Stasimioti
As large language models (LLMs) continue to transform translation workflows, a new study underscores the ongoing importance of conventional, domain-specific machine translation (MT) models. While recognizing the impact of LLMs on translation processes, the researchers emphasize the need for careful evaluation of workflows to ensure optimal outcomes. Previous research has shown that MT systems often outperform LLMs in specialized domains like medical translation.
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Dec 17, 2024 | 
slator.com | Maria Stasimioti
In a December 6, 2024 paper, researchers at the University of Georgia introduced QueEn, a large language model (LLM) tailored for Quechua-English translation. Quechua, also known as Runa Simi (the “language of the people”), is one of the most significant indigenous languages of the Americas. Once the administrative language of the Inca Empire, it remains widely spoken in Peru, Bolivia, Ecuador, Colombia, Argentina, and Chile.
