Jörg Tiedemann

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Yves ScherrerDepartment of Informatics, University of OsloPatvirtintas el. paštas ifi.uio.no
Nikola LjubešićResearcher at Jožef Stefan InstitutePatvirtintas el. paštas ijs.si
Preslav NakovMohamed bin Zayed University of Artificial Intelligence (MBZUAI)Patvirtintas el. paštas mbzuai.ac.ae
Christian HardmeierAssociate Professor, IT University of CopenhagenPatvirtintas el. paštas itu.dk
Alessandro RaganatoUniversity of Milano-BicoccaPatvirtintas el. paštas unimib.it
Marcos ZampieriGeorge Mason UniversityPatvirtintas el. paštas gmu.edu
Raúl VázquezPhD candidate Language Technology, University of HelsinkiPatvirtintas el. paštas helsinki.fi
Joakim NivreProfessor of Computational Linguistics, Uppsala University; Senior Researcher, RISEPatvirtintas el. paštas lingfil.uu.se
Lonneke van der PlasIdiap Research InstitutePatvirtintas el. paštas idiap.ch
Mikko AulamoPatvirtintas el. paštas helsinki.fi
Robert ÖstlingDepartment of Linguistics, Stockholm UniversityPatvirtintas el. paštas ling.su.se
Sara StymneUppsala UniversityPatvirtintas el. paštas lingfil.uu.se
Sami VirpiojaUtopia AnalyticsPatvirtintas el. paštas utopiaanalytics.com
Mathias CreutzUniversity of HelsinkiPatvirtintas el. paštas helsinki.fi
Stig-Arne GrönroosAI Scientist, Silo.AIPatvirtintas el. paštas aalto.fi
Jori MurManager digital products, Edu'Actief, MeppelPatvirtintas el. paštas rug.nl
Pierre LisonChief Research Scientist, Norsk RegnesentralPatvirtintas el. paštas nr.no
Aarne TalmanAccenture, University of HelsinkiPatvirtintas el. paštas accenture.com
Shaoxiong JiTechnical University of DarmstadtPatvirtintas el. paštas tu-darmstadt.de
Eva Petterssonpostdoc in computational linguistics, Uppsala UniversityPatvirtintas el. paštas lingfil.uu.se

Stebėti

Jörg Tiedemann

Professor of Language Technology, University of Helsinki

Patvirtintas el. paštas helsinki.fi - Pagrindinis puslapis

computational linguistics machine translation machine learning natural language processing information retrieval


Pavadinimas Rūšiuoti pagal šaltinius Rūšiuoti pagal metus Rūšiuoti pagal pavadinimą	Cituota Cituota	Metai
Parallel data, tools and interfaces in OPUS. J Tiedemann Lrec 2012, 2214-2218, 2012	2315	2012
Opensubtitles2016: Extracting large parallel corpora from movie and tv subtitles P Lison, J Tiedemann European Language Resources Association, 2016	1009	2016
News from OPUS—A collection of multilingual parallel corpora with tools and interfaces J Tiedemann Recent advances in natural language processing V: selected papers from RANLP …, 2009	784	2009
OPUS-MT--Building open translation services for the World J Tiedemann, S Thottingal Annual Conference of the European Association for Machine Translation, 479-480, 2020	680	2020
An analysis of encoder representations in transformer-based machine translation A Raganato, J Tiedemann Proceedings of the 2018 EMNLP workshop BlackboxNLP: analyzing and …, 2018	337	2018
Neural machine translation with extended context J Tiedemann, Y Scherrer arXiv preprint arXiv:1708.05943, 2017	298	2017
The opus corpus-parallel and free: http://logos. uio. no/opus J Tiedemann, L Nygaard Proceedings of the Fourth International Conference on Language Resources and …, 2004	243	2004
Findings of the VarDial evaluation campaign 2017 M Zampieri, S Malmasi, N Ljubešić, P Nakov, A Ali, J Tiedemann, ... Proceedings of the fourth workshop on NLP for similar languages, varieties …, 2017	239	2017
Discriminating between similar languages and arabic dialect identification: A report on the third dsl shared task S Malmasi, M Zampieri, N Ljubešić, P Nakov, A Ali, J Tiedemann Proceedings of the third workshop on NLP for similar languages, varieties …, 2016	210	2016
OpenSubtitles2018: Statistical rescoring of sentence alignments in large, noisy parallel corpora P Lison, J Tiedemann, M Kouylekov Proceedings of the Eleventh International Conference on Language Resources …, 2018	208	2018
The tatoeba translation challenge--realistic data sets for low resource and multilingual MT J Tiedemann arXiv preprint arXiv:2010.06354, 2020	204	2020
Efficient word alignment with markov chain monte carlo R Östling, J Tiedemann The Prague Bulletin of Mathematical Linguistics 106, 125-146, 2016	161	2016
Finding synonyms using automatic word alignment and measures of distributional similarity L Van der Plas, J Tiedemann Proceedings of the COLING/ACL 2006 Main Conference Poster Sessions, 866-873, 2006	158	2006
Bitext alignment J Tiedemann Morgan & Claypool Publishers, 2011	154	2011
A report on the DSL shared task 2014 M Zampieri, L Tan, N Ljubešić, J Tiedemann Proceedings of the first workshop on applying NLP tools to similar languages …, 2014	139	2014
Character-based joint segmentation and POS tagging for Chinese using bidirectional RNN-CRF Y Shao, C Hardmeier, J Tiedemann, J Nivre arXiv preprint arXiv:1704.01314, 2017	127	2017
Recycling translations: Extraction of lexical data from parallel corpora and their application in natural language processing J Tiedemann Acta Universitatis Upsaliensis, 2003	124	2003
Identifying idiomatic expressions using automatic word-alignment BV Moirón, J Tiedemann Proceedings of the Workshop on Multi-word-expressions in a multilingual context, 2006	122	2006
Overview of the DSL shared task 2015 M Zampieri, L Tan, N Ljubešić, J Tiedemann, P Nakov Proceedings of the Joint Workshop on Language Technology for Closely Related …, 2015	121	2015
Merging comparable data sources for the discrimination of similar languages: The dsl corpus collection L Tan, M Zampieri, N Ljubešic, J Tiedemann Proceedings of the 7th Workshop on Building and Using Comparable Corpora …, 2014	115	2014

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