Jörg Tiedemann

RSS feed of this list

  1. Findings of the 2016 WMT Shared Task on Cross-lingual Pronoun Prediction

    Guillou, L., Hardmeier, C., Nakov, P., Stymne, S., Tiedemann, J., Versley, Y., Cettolo, M., Webber, B. & Popescu-Belis, A., 1 Aug 2016, The 54th Annual Meeting of the Association for Computational Linguistics: Proceedings of the First Conference on Machine Translation (WMT). Stroudsburg: The Association for Computational Linguistics, p. 525-542 18 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientific

  2. Phrase-Based SMT for Finnish with More Data, Better Models and Alternative Alignment and Translation Tools

    Tiedemann, J., Cap, F., Kanerva, J., Ginter, F., Stymne, S., Östling, R. & Weller-Di Marco, M., 1 Aug 2016, The 54th Annual Meeting of the Association for Computational Linguistics: Proceedings of the First Conference on Machine Translation (WMT). Stroudsburg: The Association for Computational Linguistics, p. 391-398 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  3. Large aligned treebanks for syntax-based machine translation

    Kotzé, G., Vandeghinste, V., Martens, S. & Tiedemann, J., 2017, In : Language Resources and Evaluation. 51, 2, p. 249-282 34 p.

    Research output: Contribution to journalArticleScientificpeer-review

  4. Tagging Ingush - Language Technology For Low-Resource Languages Using Resources From Linguistic Field Work

    Tiedemann, J., Nichols, J. & Sprouse, R., 1 Dec 2016, Language Technology Resources and Tools for Digital Humanities (LT4DH): Proceedings of the Workshop. Osaka, p. 148-155 8 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  5. The Challenges of Multi-dimensional Sentiment Analysis Across Languages

    Öhman, E., Honkela, T. & Tiedemann, J., 1 Dec 2016, Workshop on Computational Modeling of People’s Opinions, Personality, and Emotions in Social Media (PEOPLES): Proceedings of the Workshop. Osaka, Japan: The COLING 2016 Organizing Committee , p. 138-142 5 p.

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  6. Efficient word alignment with Markov Chain Monte Carlo

    Östling, R. & Tiedemann, J., 1 Oct 2016, In : The Prague Bulletin of Mathematical Linguistics. 106, p. 125-146 22 p.

    Research output: Contribution to journalArticleScientificpeer-review

  7. Corpus parallèles et corpus ciblés au secours du dictionnaire de traduction

    Bertels, A., Fairon, C., Tiedemann, J. & Verlinde, S., 2009, Cahiers de lexicologie. Classiques Garnier, p. 199-219 21 p. (Revues).

    Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

  8. News from OPUS - A Collection of Multilingual Parallel Corpora with Tools and Interfaces

    Tiedemann, J., 2009, Recent Advances in Natural Language Processing. Nicolov, N., Bontcheva, K., Angelova, G. & Mitkov, R. (eds.). Vol. V. p. 237-248 12 p.

    Research output: Chapter in Book/Report/Conference proceedingChapterScientificpeer-review

  9. Translating Questions for Cross-Lingual QA

    Tiedemann, J., 1 May 2009, Unknown host publication. Marqués, L. & Somers, H. (eds.). p. 112 - 119

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

  10. Character-based PSMT for Closely Related Languages

    Tiedemann, J., 1 May 2009, Unknown host publication. Marqués, L. & Somers, H. (eds.). p. 12 - 19

    Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Previous 1 2 3 4 5 6 7 8 ...10 Next