Software

AQET

AQET (Adaptive Quality Estimation Tool) is an open-source package for performing Quality Estimation for Machine Translation able to continuously learn from post-edited sentences.

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IRSTLM

The IRST Language Modeling (IRSTLM) Toolkit features algorithms and data structures suitable to estimate, store, and access very large n-gram language models.

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MOSES

Moses is a statistical machine translation system that allows you to automatically train translation models for any language pair.

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📢 Proud to announce that our @mgaido91 has won the 2023 @EAMTee best Phd thesis award with his work on “Direct speech translation toward high-quality, inclusive, and augmented systems". 💯👏

👇Thesis: https://iris.unitn.it/handle/11572/374507

👇About the award: https://eamt.org/2024/04/17/2023-anthony-c-clarke-award-for-the-eamt-best-thesis-awardee-announcement/

#NLProc

🚨 The industry track call for papers for #EMNLP2024 is now out!

Deadline: July 18th, 2024

We welcome submissions from industry groups on a wide variety of topics, please see the CfP for details!

We just released our first set of #LLMs of the #Minerva family, #pretrained from scratch on #English and #Italian, 500 billion words, 350M to 3B parameters. #FAIR @fondazione_fair and @Cineca1969! Documentation and transparency first! https://www.ansa.it/amp/osservatorio_intelligenza_artificiale/notizie/approfondimenti/2024/04/23/ecco-minerva-la-prima-famiglia-di-llm-addestrati-da-zero-in-italiano_ac6cc4b0-6c65-4cef-a7e3-dfca7bc3c2c4.html

Our pick of the week by @lina_conti: "An image speaks a thousand words, but can everyone listen? On translating images for cultural relevance" by @simi_97k, @Sathya8NR, @yueqi_song, and @gneubig.

#translation #image #culture #LLM

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