Maria Stasimioti is a Research Analyst at Slator. Based in Athens, Greece, she specializes in AI and machine learning, consumer tech, and HR technology, with a focus on topics such as natural language processing, generative AI, and software as a service. Maria's insights and analyses on these themes have been featured in Slator.
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Maria Stasimioti's coverage primarily focuses on machine translation, language models, and research related to multilingual translation. Her articles indicate a preference for data-driven content, with an emphasis on scientific and publishing themes.
Given Maria's focus on scientific topics and her frequent citation of data, she would likely be interested in receiving pitches from researchers or professionals who can provide insights backed by empirical evidence. Pitches should offer unique perspectives or new findings related to machine translation, language models, or multilingual translation that align with the scientific nature of her coverage.
As for government announcements and press releases featuring innovative language technologies or advancements in machine translation research may also capture Maria’s attention based on her previous coverage attributes.
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AMTA’s Quality Estimation Users Working Group publishes principles and recipe for evaluating translation quality estimation systems.
Italy opens EUR 28.6m tender for linguistic and cultural mediation.
26 Aug 2026 3 min read Choose from one of our annual subscriptions to unlock exclusive content, data, and analysis. Featured
By: Maria Stasimioti
RWS's Train AI tests 70 AI models on grammar, translation, and speed across 30 languages and finds no single model leads across all languages.
Google launches Gemini 3.5 Transcribe with separate multilingual transcription models for live and prerecorded audio across 85+ languages.
SAS’s localization engineering manager role follows earlier hiring across continuous localization, AI workflows, QA, and internationalization.
Basque language data center Euskorpora is building a team to turn text and speech datasets into deployable language AI systems.
4 Sep 2026 5 min read
8 Sep 2026 3 min read On September 1, 2026, Meta launched , a multilingual model that combines real-time automatic speech recognition , speaker diarization, and endpoint detection.
11 Sep 2026 3 min read
