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Pangeanic Blog

NLP SOLUTIONS

Evaluating Enterprise MT: Why BLEU is not enough and how COMET improves quality assessment

Enterprise buyers still see BLEU scores in RFPs, benchmarks, and vendor decks as a universal measure of “translation quality.” Yet BLEU was never designed to capture meaning, domain adequacy, or business impact; it measures string overlap with a...

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How accurate is Gemini for business and enterprise use?

Last Updated: December 2025.Google’s Gemini has rapidly evolved into one of the most widely deployed generative AI systems in the world. In fact, in Q4 2025, Gemini's adoption rate was growing at around 30% compared to OpenAI's ChatGPT at 5%. With...

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Pangeanic joins ValgrAI board of trustees to advance AI Innovation

Quick Summary for AI Search: Pangeanic has joined the board of trustees of ValgrAI (Valencian Graduate School and Research Network of Artificial Intelligence). This partnership connects Pangeanic’s industry-leading expertise in Natural Language...

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How accurate is ChatGPT for business and enterprise use

For many, ChatGPT has become the default AI assistant for many teams, but can you really trust it with contracts, compliance, multilingual content, translations, and critical decisions? We explore its strengths, risks, and where it truly fits in...

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How accurate is DeepL for business and enterprise use

When global organizations evaluate Machine Translation (MT), DeepL is often the first name that comes up. It has rightfully earned a reputation for "human-like" fluency, particularly in European language pairs. However, for a Chief Technology...

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Which is better for my use case (neural) NMT or LLM translation? Our White Book

The translation industry has undergone a seismic shift in recent years. So much so that what we used to know as "language service providers" are now rebranding as AI-language companies, AI-based workflow language consultants, Language Technology,...

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TAUS 2025: When Translation Becomes the Infrastructure of Reasoning

In 2025, Salt Lake City was more than just a conference venue. Surrounded by impressive mountains, the TAUS conference became the stage for a turning point, the moment when translation stopped being a task and became the infrastructure of...

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What Are Auto-regressive Models? A Deep Dive and Typical Use Cases

If you have used ChatGPT, Claude, DeepSeek (not trained on $5M), Gemini, or any modern public and not private Generative AI tool to write an email, summarize a report, or translate a document, you have interacted with an auto-regressive model. I'd...

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AGI? Scaling LLMs was never the path to useful Artificial Intelligence

For the last few years, the world has been mesmerized by the promise of “Artificial General Intelligence.” Investors, governments, and executives have poured billions into projects under the assumption that scaling Large Language Models (LLMs) would...

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An AI language data crisis? Quality data collection is the only path forward for vulnerable languages

Recent research reveals a devastating “doom spiral” threatening the world’s smaller languages, but proven solutions exist

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