PulseAugur
LIVE 13:58:03
research · [1 source] ·
0
research

Unbabel discusses SOTA machine translation and quality estimation at EMNLP

By PulseAugur Editorial · Summary by gemini-2.5-flash-lite from 1 source

Unbabel researchers discussed state-of-the-art machine translation at EMNLP 2022. They highlighted innovations in quality estimation, including their COMET framework. COMET is designed for training multilingual machine translation evaluation models. AI

Summary written by gemini-2.5-flash-lite from 1 source. How we write summaries →

RANK_REASON The cluster discusses a research paper and framework (COMET) presented at a conference.

Read on Practical AI →

Unbabel discusses SOTA machine translation and quality estimation at EMNLP

COVERAGE [1]

  1. Practical AI TIER_1 · Practical AI LLC ·

    SOTA machine translation at Unbabel

    <p>José and Ricardo joined Daniel at EMNLP 2022 to discuss state-of-the-art machine translation, the WMT shared tasks, and quality estimation. Among other things, they talk about Unbabel’s innovations in quality estimation including COMET, a neural framework for training multilin…

RELATED TOPICS