Speech and Language Technology

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1. Vivien Macketanz; Eleftherios Avramidis; Aljoscha Burchardt; Hans Uszkoreit

   Fine-grained evaluation of German-English Machine Translation based on a Test Suite

   In: Proceedings of the Third Conference on Machine Translation. Workshop on Statistical Machine Translation (WMT-2018), located at 2018 Conference on …

2. Vivien Macketanz; Aljoscha Burchardt; Hans Uszkoreit

   TQ-AutoTest: Novel analytical quality measure confirms that DeepL is better than Google Translate

   2018.

3. Mathias Weber; Aljoscha Burchardt

   Künstliche Intelligenz

   Digitalgipfel 2017, 11/2017.

4. Vivien Macketanz; Eleftherios Avramidis; Aljoscha Burchardt; Jindrich Helcl; Ankit Srivastava

   Machine Translation: Phrase-Based, Rule-Based and Neural Approaches with Linguistic Evaluation

   In: Cybernetics and Information Technologies (cait), Vol. 17, No. 2, Pages 28-43, De Gruyter, 6/2017.

5. Aljoscha Burchardt; Vivien Macketanz; Jon Dehdari; Georg Heigold; Jan-Thorsten Peter; Philip Williams

   A Linguistic Evaluation of Rule-Based, Phrase-Based, and Neural MT Engines

   In: The Prague Bulletin of Mathematical Linguistics (PBML), Vol. 108, No. 1, Pages 159-170, De Gruyter Open, 2017.

6. Aljoscha Burchardt; Marco Pennacchiotti

   FATE: Annotating a Textual Entailment Corpus with FrameNet

   In: Nancy Ide; James Pustejovsky. Handbook of Linguistic Annotation. Pages 1101-1118, ISBN 978-94-024-0881-2, Springer Netherlands, Dordrecht, 2017.

7. Arle Lommel; Aljoscha Burchardt

   Quality Management for Translation

   In: Jörg Porsiel (Hrsg.). Machine Translation. Chapter 9, ISBN 9783938430934, BDÜ Weiterbildungs- und Fachverlagsgesellschaft mbH, Berlin, 2017.

8. Kimberley Harris; Aljoscha Burchardt

   Improving Machine Translation: The Gap Between Research Approaches and Industry Needs

   In: Jörg Porsiel (Hrsg.). Machine Translation. Chapter 8, ISBN 9783938430934, BDÜ Weiterbildungs- und Fachverlagsgesellschaft mbH, Berlin, 2017.

9. Anne Beyer; Vivien Macketanz; Aljoscha Burchardt; Philip Williams

   Can Out-of-the-box NMT Beat a Domain-trained Moses on Technical Data?

   In: The 20th Annual Conference of the European Association for Machine Translation. Annual Conference of the European Association for Machine …

10. Daniel Zeman; Martin Popel; Milan Straka; Jan Hajic; Joakim Nivre; Filip Ginter; Juhani Luotolahti; Sampo Pyysalo; Slav Petrov; Martin Potthast; Francis Tyers; Elena Badmaeva; Memduh Gokirmak; Anna Nedoluzhko; Silvie Cinkova; Jan Hajic jr.; Jaroslava Hlavacova; Václava Kettnerová; Zdenka Uresova; Jenna Kanerva; Stina Ojala; Anna Missilä; Christopher D. Manning; Sebastian Schuster; Dima Taji Siva Reddy; Nizar Habash; Herman Leung; Marie-Catherine de Marneffe; Manuela Sanguinetti; Maria Simi; Hiroshi Kanayama; Valeria dePaiva; Kira Droganova; Héctor Martínez Alonso; Çağrı Çöltekin; Umut Sulubacak; Hans Uszkoreit; Vivien Macketanz; Aljoscha Burchardt; Kim Harris; Katrin Marheinecke; Georg Rehm; Tolga Kayadelen; Mohammed Attia; Ali Elkahky; Zhuoran Yu; Emily Pitler; Saran Lertpradit; Michael Mandl; Jesse Kirchner; Hector Fernandez Alcalde; Jana Strnadová; Esha Banerjee; Ruli Manurung; Antonio Stella; Atsuko Shimada; Sookyoung Kwak; Gustavo Mendonca; Tatiana Lando; Rattima Nitisaroj; Josie Li

    CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies

    In: Proceedings of the CoNLL 2017 Shared Task: Multilingual Parsing from Raw Text to Universal Dependencies. Conference on Computational Natural …

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