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Amirhossein Tebbifakhr proslijedio/la je Tweet
Do you have data for direct speech translation and want to update your model on the fly? Check out our paper "INSTANCE-BASED MODEL ADAPTATION FOR DIRECT SPEECH TRANSLATION" https://arxiv.org/abs/1910.10663 accepted to
#icassp2020@Turchi_Marco@negri_teo@fbk_mtpic.twitter.com/IcdWrQfjH9
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The efficient Transformer aka "Reformer" can handle 1M words on a single GPU(16GB), useful for research groups with limited computational resources. https://ai.googleblog.com/2020/01/reformer-efficient-transformer.html …
@fbk_mtHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Amirhossein Tebbifakhr proslijedio/la je Tweet
TensorFlow 2.1.0 is out NOW!
This will be the last TF release supporting Python 2. Please see the full release notes for details on added features and changes!
Learn more here ↓https://github.com/tensorflow/tensorflow/releases/tag/v2.1.0 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Amirhossein Tebbifakhr proslijedio/la je Tweet
Thrilled to announce the
@iwslt 2020 "offline speech translation" challenge. Cascaded and end-to-end models will be evaluated on the translation of TED talks from English into German. Info: http://iwslt2020.ira.uka.de/doku.php?id=offline_speech_translation …#iwslt#nlproc@KITKarlsruhe@UM_DKE@Turchi_Marco@negri_teoHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Amirhossein Tebbifakhr proslijedio/la je Tweet
Having a great time in Singapore!https://twitter.com/fbk_mt/status/1206496477402533889 …
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T5 by google explores the field of transfer learning in NLP. Very good systematic study on how to pretrain and transfer transformer models for downstream tasks: https://arxiv.org/pdf/1910.10683.pdf … cc
@fbk_mtpic.twitter.com/J0QpUOa64U
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Amirhossein Tebbifakhr proslijedio/la je Tweet
Last day for submitting your Expression of Interest! MT Journal Special Issue on Machine Translation for Low-Resource Languages
#NMT#LoResMThttps://twitter.com/chstoneliu/status/1190430909763379205 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Amirhossein Tebbifakhr proslijedio/la je Tweet
Goal: +train an efficient universal model that can translate b/n any language Progress: +
work sets a new milestone towards building a single model
Massively Multilingual Neural Machine Translation
in the Wild: Findings and Challenges https://arxiv.org/pdf/1907.05019.pdf …
@fbk_mt
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Amirhossein Tebbifakhr proslijedio/la je Tweet
Our PhD student
@karakanta presenting her study on resources for subtitling-oriented neural machine translation "Are Subtitling Corpora really Subtitle-like?" http://ceur-ws.org/Vol-2481/paper38.pdf …#nlproc#NMT#machinetranslation#clicit2019@CLiC_it_conf@negri_teo@Turchi_Marcopic.twitter.com/JI1ctVbyjF
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Amirhossein Tebbifakhr proslijedio/la je Tweet
The Noisy Channel has always been one of my favourite ways of thinking about (human and machine) translation, because of its elegance and interpretatbility. Here a promising approach for Noisy Channel-based
#NMT: https://www.aclweb.org/anthology/D19-1571.pdf …@fbk_mtHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Amirhossein Tebbifakhr proslijedio/la je Tweet
"Robust Neural Machine Translation for Clean and Noisy Speech Transcripts", done during my internship
@awscloud has been accepted to IWSLT and available @ http://arxiv.org/abs/1910.10238 . Is fine-tuning MT systems on ASR output sufficient for speech translation?@marcfede@fbk_mtpic.twitter.com/UG01q76yxC
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Amirhossein Tebbifakhr proslijedio/la je Tweet
Proud and happy to present our work on MT for machine at Jrc Ispra
@fbk_mt#ai#machinetranslation @eusciencehubpic.twitter.com/sLLkoUln8q
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Amirhossein Tebbifakhr proslijedio/la je Tweet
"Instance-Based Model Adaptation For Direct Speech Translation" proposing a framework based on audio similarity that can retrieve segments pairs similar to the one to translate. Submitted to ICASSP, pre-published on https://arxiv.org/abs/1910.10663 .
@fbk_mt@Turchi_Marco@negri_teopic.twitter.com/Xlfhpd7Z1W
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Amirhossein Tebbifakhr proslijedio/la je Tweet
I'm happy to announce that our paper "One-to-Many Multilingual End-to-End Speech Translation", accepted at
@asru2019 is now available on https://arxiv.org/abs/1910.03320 and https://www.researchgate.net/publication/336262493_One-To-Many_Multilingual_End-to-end_Speech_Translation …. Get up to 2.5 BLEU improvement on MuST-C En-Pt.@fbk_mtpic.twitter.com/BwP0kMqDDv
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Amirhossein Tebbifakhr proslijedio/la je Tweet
Are you working on
#MT for#LoRes? Then this CFP might be for you. Machine Translation Journal Special Issue on Machine Translation for Low-Resource Languages https://www.springer.com/computer/ai/journal/10590/ … Send us your EOI by Nov. 26th! https://mailman.uib.no/public/corpora/2019-October/030742.html …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Our paper "Machine Translation for Machines: the Sentiment Classification Use Case" accepted at
#emnlp2019 is now available on arxiv: http://arxiv.org/abs/1910.00478 https://twitter.com/negri_teo/status/1161287071027404800 …Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Amirhossein Tebbifakhr proslijedio/la je Tweet
Congratulations
@JDadashkarimi ,@DScheinost , and team on winning Best Poster at the CNI@miccai2019 workshop!!https://twitter.com/JDadashkarimi/status/1182692278399328256 …
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Amirhossein Tebbifakhr proslijedio/la je Tweet
My piece to celebrate International Translation Day!
@fbk_mt (Re-)discovering Translationese in Machine Translation Researchhttps://link.medium.com/vT0JPhg7q0Hvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi -
Amirhossein Tebbifakhr proslijedio/la je Tweet
Want to train Transformer for speech but it doesn't fit in gpu? https://arxiv.org/abs/1904.13377 by
@KITKarlsruhe and@SCSatCMU shows that you can stochastically skip some layers and save huge computation and memory resources while improving results, but huge models are needed.@fbk_mtHvala. Twitter će to iskoristiti za poboljšanje vaše vremenske crte. PoništiPoništi
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