Eva Hasler



Contact

  • E-mail: ech57 AT cam ac uk
  • Address:
    University of Cambridge
    Department of Engineering
    Trumpington Street
    Cambridge CB2 1PZ
    United Kingdom


I am a Research Associate in the Statistical Machine Translation group at Cambridge University, working on the EPSRC-funded project: "Improving Target Language Fluency in Statistical Machine Translation".

Previously, I was a PhD student at the School of Informatics in Edinburgh where I worked on topic adaptation for SMT. Topic adaptation is important for translating texts from diverse sources, such as translating arbitrary web documents, without knowing their domain. More specifically, my thesis work focused on automatically inducing structure in the training data using Latent Dirichlet Allocation to enable dynamic adaptation at test time.

Note: I have recently left the department and joined SDL in Cambridge.

Publications

  • Neural Machine Translation by Minimising the Bayes-risk with Respect to Syntactic Translation Lattices, Felix Stahlberg, AdriÓ de Gispert, Eva Hasler and Bill Byrne, in Proceedings of EACL 2017.

  • Source Sentence Simplification for Statistical Machine Translation, Eva Hasler, AdriÓ de Gispert, Felix Stahlberg, Aurelien Waite, Bill Byrne, Computer Speech & Language (2016).

  • The Edit Distance Transducer in Action: The University of Cambridge English-German System at WMT16, Felix Stahlberg, Eva Hasler, Bill Byrne, In Proceedings of The 1st Conference on Machine Translation (WMT16), Berlin, Germany, 11-12 August 2016.

  • Syntactically Guided Neural Machine Translation, Felix Stahlberg, Eva Hasler, Aurelien Waite, Bill Byrne, In Proceedings of The 54th Annual Meeting of the Association for Computational Linguistics (ACL 2016), Berlin, Germany, 7-12 August 2016.

  • Multilingual Image Description With Neural Sequence Models, Desmond Elliott, Stella Frank, Eva Hasler, arXiv:1510.04709, November 2015.

  • Dynamic Topic Adaptation for Improved Contextual Modelling in Statistical Machine Translation, Eva Hasler, PhD Thesis, School of Informatics, University of Edinburgh, 2014.

  • Combining Domain and Topic Adaptation for SMT, Eva Hasler, Barry Haddow, Philipp Koehn, In Proceedings of AMTA 2014, vol. 1: MT Researchers, Vancouver, BC, 2014. [slides][bib]

  • UEdin: Translating L1 Phrases in L2 Context using Context-Sensitive SMT, Eva Hasler, In Proceedings of the 8th International Workshop on Semantic Evaluation (SemEval 2014), pages 688-693, Dublin, Ireland, August 23-24, 2014. [slides][bib]

  • Dynamic Topic Adaptation for SMT using Distributional Profiles, Eva Hasler, Barry Haddow, Philipp Koehn, In Proceedings of the Ninth Workshop on Statistical Machine Translation (WMT 2014), pages 445-456, Baltimore, Maryland USA, June 26-27, 2014. [slides][bib]

  • Edinburgh's Syntax-Based Systems at WMT 2014, Philip Williams, Rico Sennrich, Maria Nadejde, Matthias Huck, Eva Hasler, Philipp Koehn, In Proceedings of the Ninth Workshop on Statistical Machine Translation (WMT 2014), pages 207-214, Baltimore, Maryland USA, June 26-27, 2014. [bib]

  • Dynamic Topic Adaptation for Phrase-based MT, Eva Hasler, Phil Blunsom, Philipp Koehn and Barry Haddow, In Proceedings of the 14th Conference of the European Chapter of the Association for Computational Linguistics (EACL 2014), pages 328-337, Gothenburg, Sweden, April 26-30 2014. [poster][bib]

  • Sparse Lexicalised Features and Topic Adaptation for SMT, Eva Hasler, Barry Haddow and Philipp Koehn, In Proceedings of the 9th International Workshop on Spoken Language Translation (IWSLT 2012), Hong Kong, December 6th-7th, 2012. [poster][bib]

  • The UEDIN Systems for the IWSLT 2012 Evaluation, Eva Hasler, Peter Bell, Arnab Ghoshal, Barry Haddow, Philipp Koehn, Fergus McInnes, Steve Renals and Pawel Swietojanski, In Proceedings of the 9th International Workshop on Spoken Language Translation (IWSLT 2012), Hong Kong, December 6th-7th, 2012. [slides][bib]

  • Hallucinated N-Best Lists for Discriminative Language Modeling, Kenji Sagae, Maider Lehr, Emily Prud'hommeaux, Puyang Xu, Nathan Glenn, Damianos Karakos, Sanjeev Khudanpur, Brian Roark, Murat Sarašlar, Izhak Shafran, Daniel Bikel, Chris Callison-Burch, Yuan Cao, Keith Hall, Eva Hasler, Philipp Koehn, Adam Lopez, Matt Post, Darcey Riley, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2012.

  • Continuous Space Discriminative Language Modeling, Puyang Xu, Sanjeev Khudanpur, Maider Lehr, Emily Prud'hommeaux, Nathan Glenn, Damianos Karakos, Brian Roark, Kenji Sagae, Murat Sarašlar, Izhak Shafran, Dan Bikel, Chris Callison-Burch, Yuan Cao, Keith Hall, Eva Hasler, Philipp Koehn, Adam Lopez, Matt Post, Darcey Riley, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2012.

  • Semi-Supervised Discriminative Language Modeling for Turkish ASR, Arda ăelebi, Hašim Sak, Erinš Dikici, Murat Sarašlar, Maider Lehr, Emily Tucker Prud'hommeaux, Puyang Xu, Nathan Glenn, Damianos Karakos, Sanjeev Khudanpur, Brian Roark, Kenji Sagae, Izhak Shafran, Dan Bikel, Chris Callison-Burch, Yuan Cao, Keith Hall, Eva Hasler, Philipp Koehn, Adam Lopez, Matt Post, Darcey Riley, IEEE International Conference on Acoustics, Speech, and Signal Processing (ICASSP), 2012.

  • Deriving conversation-based features from unlabeled speech for discriminative language modeling, Damianos Karakos, Brian Roark, Izhak Shafran, Kenji Sagae, Maider Lehr, Emily Prud'hommeaux, Puyang Xu, Nathan Glenn, Sanjeev Khudanpur, Murat Saraclar, Dan Bikel, Mark Dredze, Chris Callison-Burch, Yuan Cao, Keith Hall, Eva Hasler, Philip Koehn, Adam Lopez, Matt Post and Darcey Riley, InterSpeech, 2012.

  • Confusion-based Statistical Language Modeling for Machine Translation and Speech Recognition, Final report, JHU CLSP summer workshop project, 2011.

  • Margin Infused Relaxed Algorithm for Moses, Eva Hasler, Barry Haddow, Philipp Koehn, The Prague Bulletin of Mathematical Linguistics No. 96, pp. 69-78, 2011. [slides][bib]

  • Multi-engine machine translation with an open-source decoder for statistical machine translation, Yu Chen, Andreas Eisele, Christian Federmann, Eva Hasler, Michael Jellinghaus, & Silke Theison, In Proceedings of the Second Workshop on Statistical Machine Translation (WMT), 2007.

  • Talks

  • Multilingual Image Description with Neural Sequence Models, Computer Laboratory, University of Cambridge, Feb 2016

  • Dynamic Topic Adaptation for Statistical Machine Translation, Department of Engineering, University of Cambridge, March 2015

  • Dynamic Topic Adaptation for Statistical Machine Translation, ILLC, University of Amsterdam, September 2014

  • Last updated: February 2017
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