World's Best Scientists 2026 revealed!

D-Index & Metrics

Computer Science

D-Index
50
Citations
8434
World Ranking
5685
National Ranking
37

Overview

Jörg Tiedemann is affiliated with the University of Helsinki in Finland and has contributed extensively to the field of computer science, particularly within artificial intelligence. Their research has a strong focus on natural language processing techniques and related subfields.

Tiedemann's main areas of work include:

  • Natural Language Processing Techniques
  • Topic Modeling
  • Multimodal Machine Learning Applications
  • Text Readability and Simplification
  • Semantic Web and Ontologies
  • Sentiment Analysis and Opinion Mining
  • Speech and Dialogue Systems

Their publications have appeared predominantly in venues such as:

  • arXiv (Cornell University)
  • Helda (University of Helsinki)
  • Machine Translation
  • Language Resources and Evaluation
  • The Journal of Specialised Translation

Samples of recent papers by Jörg Tiedemann include:

  • Democratizing neural machine translation with OPUS-MT, 2023, Language Resources and Evaluation
  • The Tatoeba Translation Challenge -- Realistic Data Sets for Low Resource and Multilingual MT, 2020, arXiv (Cornell University)
  • Analyzing the Use of Character-Level Translation with Sparse and Noisy Datasets, 2021, arXiv (Cornell University)

Other relevant papers related to their general research environment include:

  • Multimodal machine translation through visuals and speech, 2020, Machine Translation (authored by Umut Sulubacak)
  • Domain-specific Continued Pretraining of Language Models for Capturing Long Context in Mental Health, 2023, arXiv (Cornell University) (authored by Shaoxiong Ji)

Frequent co-authors contributing to their work include:

  • Shaoxiong Ji
  • Alessandro Raganato
  • Raúl Vázquez
  • Mikko Aulamo
  • Ona De Gibert

Their research often intersects topics such as computer vision and pattern recognition, language and linguistics, and aspects of social psychology within broader computer science.

Within the academic community, Jörg Tiedemann's output totals numerous publications mainly centered on advancing methodologies in machine translation, multimodal integration, and language resource evaluation.

Best Publications

  • OpenSubtitles2016: Extracting Large Parallel Corpora from Movie and TV Subtitles

    Pierre Lison;Jörg Tiedemann

  • News from OPUS — A collection of multilingual parallel corpora with tools and interfaces

    Jörg Tiedemann

  • Neural Machine Translation with Extended Context

    Jörg Tiedemann;Yves Scherrer

  • OPUS-MT – Building open translation services for the World

    Jörg Tiedemann;Santhosh Thottingal

  • ENSM-SE at CLEF 2006 : Fuzzy Proximity Method with an Adhoc Influence Function in Evaluation of Multilingual and Multi-modal Information Retrieval 7th Workshop of the Cross-Language Evaluation Forum, CLEF 2006, Alicante, Spain

    Carol Peters;Paul Clough;Fredric C. Gey;Jussi Karlgren

  • An Analysis of Encoder Representations in Transformer-Based Machine Translation

    Alessandro Raganato;Jörg Tiedemann

  • Discriminating between Similar Languages and Arabic Dialect Identification: A Report on the Third DSL Shared Task

    Shervin Malmasi;Marcos Zampieri;Nikola Ljubešić;Preslav Nakov

  • Findings of the VarDial Evaluation Campaign 2017

    Marcos Zampieri;Shervin Malmasi;Nikola Ljubešić;Preslav Nakov

  • Finding Synonyms Using Automatic Word Alignment and Measures of Distributional Similarity

    Lonneke van der Plas;Jörg Tiedemann

  • Open subtitles 2018 : Statistical rescoring of sentence alignments in large, noisy parallel corpora

    Pierre Lison;Jörg Tiedemann;Milen Kouylekov

  • A Report on the DSL Shared Task 2014

    Marcos Zampieri;Liling Tan;Nikola Ljubešić;Jörg Tiedemann

  • Bitext Alignment

    Jrg Tiedemann

  • Continuous multilinguality with language vectors

    Robert Östling;Jörg Tiedemann

  • Recycling Translations : Extraction of Lexical Data from Parallel Corpora and their Application in Natural Language Processing

    Jörg Tiedemann

  • Identifying idiomatic expressions using automatic word-alignment

    Begoña Villada Moirón;Jörg Tiedemann

  • Combining Word-Level and Character-Level Models for Machine Translation Between Closely-Related Languages

    Preslav Nakov;Jörg Tiedemann

  • Combining clues for word alignment

    Jörg Tiedemann

  • Language Identification and Morphosyntactic Tagging: The Second VarDial Evaluation Campaign

    Marcos Zampieri;Shervin Malmasi;Preslav Nakov;Ahmed Ali

  • Automatic Construction of Weighted String Similarity Measures

    Jorg Tiedemann

  • Efficient Word Alignment with Markov Chain Monte Carlo

    Robert Östling;Jörg Tiedemann

Frequent Co-Authors

Preslav Nakov
Preslav Nakov Mohamed bin Zayed University of Artificial Intelligence
Joakim Nivre
Joakim Nivre Uppsala University
Marcos Zampieri
Marcos Zampieri George Mason University
Mauro Cettolo
Mauro Cettolo Fondazione Bruno Kessler
Bonnie Webber
Bonnie Webber University of Edinburgh
Gertjan van Noord
Gertjan van Noord University of Groningen
Lucia Specia
Lucia Specia Imperial College London
Mikko Kurimo
Mikko Kurimo Aalto University
Filip Ginter
Filip Ginter University of Turku
Isabelle Augenstein
Isabelle Augenstein University of Copenhagen

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