FBK-Fairseq
Open source repository with the code and models used in recent papers
Read Moreby Marco Gaido | May 30, 2023 | Software | 0
Open source repository with the code and models used in recent papers
Read Moreby Matteo Negri | May 30, 2023 | Software | 0
A neural adaptive machine translation system that adapts to context and learns from corrections
Read Moreby Dennis Fucci | May 30, 2023 | Software | 0
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.
Read Moreby Andrea Piergentili | May 30, 2023 | Software | 0
An extension of MGIZA++, which allows to align sentence pair in an online mode.
Read Moreby Dennis Fucci | May 30, 2023 | Software | 0
The IRST Language Modeling (IRSTLM) Toolkit features algorithms and data structures suitable to estimate, store, and access very large n-gram language models.
Read Moreby Dennis Fucci | May 30, 2023 | Software | 0
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