Machine Translation
    1. Phrase
    2. Phrase TMS
    3. Machine Translation

    Phrase Next GenMT

    Content is machine translated from English by Phrase Language AI.

    Phrase Next GenMT is a Phrase-developed generative AI translation engine that leverages OpenAI’s newest large language models for automated translation. Additionally, it supports glossary use, tag handling and dynamic real-time customization through retrieval-augmented generation (RAG).

    Phrase Next GenMT is available as a fully-managed MT engine via Phrase Language AI. Customers do not need their own OpenAI credentials in order to start using it.

    Building on state-of-the-art generative AI technology, Phrase Next GenMT optimizes for fluency and handles terminology with ease, even in cases where an MT glossary is not attached as a reference.

    Main features

    • Generative AI Technology

      Unlike traditional neural machine translation (NMT) solutions, Phrase Next GenMT leverages generative AI technology to bring customers increased fluency and accuracy in translation, across a wider selection of domains.

    • Advanced Glossary Support

      If a glossary is attached, instead of blind search and replace substitution, Phrase Next GenMT’s implementation supports morphological inflection, ensuring precise terminology usage.

    • Automated Tag Placement

      Supports both formatting and placeholder tags, allowing Phrase Next GenMT to work with complex sequences seamlessly.

    • Real-Time Customization via RAG

      Enables real-time customization of translations using translation memories (TMs). Phrase Next GenMT uses few-shot prompting with relevant TM matches to adapt model behavior on-the-fly, and ensure consistency with brand voice, style and terminology.

      How RAG works:

      1. RAG identifies and retrieves a set of fuzzy matches from the TM assigned to the project.

      2. The retrieved TM segments are used as examples (shots) for the model. Through few-shot prompting, these examples guide the translation output to ensure alignment with customer-specific requirements.

    Use Cases

    • Localization managers seeking high-quality translations without the need for model fine-tuning.

    • Dynamic workflows where brand voice, style, and terminology evolve frequently.

    • Content requiring fast customization for varied domains and audiences.

    • Localizing or adapting content from one locale variant (e.g. en-US, pt-BR) to another (e.g. en-GB, pt-PT).

    Language support

    Given the massively multilingual nature of Large Language Models, Phrase Next GenMT is a multilingual solution that addresses multiple use cases and language needs, capable of translating a wide range of languages. Although the solution supports many language combinations, we have determined a set of recommended language pairs selected to adhere to Phrase’s high-quality standards (in both translation directions):

    • English - Czech

    • English - Spanish

    • English - French

    • English - Russian

    • English - German

    • English - Italian

    • English - Dutch

    • English - Chinese Simplified

    • English - Swedish

    • English - Japanese

    • English - Portuguese

    • English - Korean

    • English - Polish

    • English - Danish

    • English - Greek

    • English - Norwegian (Bokmål)

    • English - Indonesian

    • English - Hungarian

    • English - Arabic

    • English - Turkish

    • English - Thai

    Was this article helpful?

    Sorry about that! In what way was it not helpful?

    The article didn’t address my problem.
    I couldn’t understand the article.
    The feature doesn’t do what I need.
    Other reason.

    Note that feedback is provided anonymously so we aren't able to reply to questions.
    If you'd like to ask a question, submit a request to our Support team.
    Thank you for your feedback.

    Articles related to Machine Translation