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Index-Translate family offers multilingual translation across text, speech, and long documents

Researchers have introduced Index-Translate, a family of multilingual translation models designed for various tasks including text, speech, controlled dubbing, and long-document translation. The models come in three sizes (2B, 9B, and 35B-A3B) and support 150 languages. Evaluations indicate that Index-Translate models achieve performance comparable to larger, frontier translation models, with specialized components like Index-Echo for speech translation and Index-Homura for dubbing demonstrating competitive results against existing end-to-end and omni models. AI

IMPACT This model family could advance multilingual communication capabilities, particularly for specialized tasks like controlled dubbing and long-document translation.

RANK_REASON The cluster describes a new family of models and their performance detailed in an arXiv paper. [lever_c_demoted from research: ic=1 ai=1.0]

Read on arXiv cs.CL →

AI-generated summary · Google Gemini · from 1 sources. How we write summaries →

Index-Translate family offers multilingual translation across text, speech, and long documents

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The cluster describes a new family of models and their performance detailed in an arXiv paper. [lever_c_demoted from research: ic=1 ai=1.0]
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COVERAGE [1]

  1. arXiv cs.CL TIER_1 English(EN) · Tianjiao Li, Mengran Yu, Chenyu Shi, Lusheng Zhang, Qisi Chen, Yanshan Zhou, Ji Qi, Jingying Liu, Yuang Feng, Ziang Cui, Tianxing Yan ·

    Index-Translate: A Multilingual Translation Model Family -- Text, Speech, Controlled Dubbing, and Long-Document Translation

    arXiv:2609.40181v1 Announce Type: new Abstract: We introduce Index-Translate, a multilingual translation model family that combines a shared multilingual foundation with specialized training for general translation, instruction following, speech translation, controlled dubbing, a…