CURRICULUM VITAE
Mr. Bogdan BABYCH
Address:
Centre for Translation Studies
School of Modern Languages and Cultures
University of Leeds
Leeds, LS2 9JT, UK
Phone:
+44 (0) 7986 / 73 65 23
e-mail:
bogdan<at>comp.leeds.ac.uk
Born:
Nationality:
28 April 1974
Ukrainian
EDUCATION / ACADEMIC DEGREES
2002 – present: “White Rose” PhD research student,
the Centre for Translation Studies, University of Leeds, UK
Thesis title: “Information Extraction techniques in Machine Translation”
co-supervised by Prof. Tony Hartley (Leeds) and Prof. Yorick Wilks (Sheffield)
1996-1999 – Graduate student at the Language Information Fund
and Institute of Linguistics
of the Ukrainian National Academy of Sciences
Areas of specialisation:
Computational Linguistics
Ukrainian Syntax
“Candidate of Sciences” degree in Ukrainian Linguistics (2000)
1991-1996
Kyiv University (Ukraine), the Department of Philology;
the “Specialist” degree in Computational Linguistics
and Ukrainian (1996)
EMPLOYMENT / WORK EXPERIENCE
2000 – 2001: “Lernout & Hauspie Speech Products NV, Ieper, Belgium
Corporate R&D, Linguistic Engineering Department, Text to Speech division
– Computational Linguist
1999 – 2000: Language Information Fund, Ukrainian National Academy of Sciences
– Research fellow
PROGRAMMING SKILLS
Java, Prolog; Perl
LANGUAGES
Ukrainian, Russian, English, Spanish, German
Bogdan Babych <bogdan@comp.leeds.ac.uk>
RECENT PUBLICATIONS
Babych B., Hartley A. 2003. Improving Machine Translation quality with automatic Named Entity
recognition. In: EACL 2003, 10th Conference of the European Chapter. Proceedings of the 7th
International EAMT workshop on MT and other language technology tools. Improving MT
through other language technology tools. Resources and tools for building MT. April 13th 2003,
Budapest, Hungary. Pp. 1-8.
Babych B., Hartley A., Atwell E., 2003. Statistical modelling of MT output corpora for Information
Extraction. In: Proceedings of the Corpus Linguistics 2003 conference, edited by Dawn Archer,
Paul Rayson, Andrew Wilson and Tony McEnery. Lancaster University (UK), 28 - 31 March
2003. Pp. 62-70.
Babych B. 2004. Weighted N-gram model for evaluating Machine Translation output. In: CLUK `04.
Proceedings of the 7th Annual Colloquium for the UK Special Interest Group for Computational
Linguistics, edited by Mark Lee. University of Birmingham, 6-7th January, 2004. ISBN 07044
24533. Pp. 15-22.
Babych B., Hartley A. 2004. Comparative Evaluation of Automatic Named Entity Recognition from
Machine Translation Output. In: Proceedings of the Workshop on Named Entity Recognition for
Natural Language Processing Applications. In Conjunction with the First International Joint
Conference on Natural Language Processing (IJCNLP-04), Sanya, Hainan, 26 March 2004. (to
appear).
Babych B., Hartley A. 2004. Selecting Translation Strategies in MT using Automatic Named Entity
Recognition. In: Proceedings of the EAMT 2004 Workshop, Malta, 26-27 April 2004. (to
appear).
Babych B., Hartley A. 2004. Modelling legitimate translation variation for automatic evaluation of MT
quality. In: LREC 2004. Proceedings of the 4th International Conference on Language Resources
and Evaluation, Lisbon, Portugal, 26-27-28 May 2004., Volume III, Pp. 833-836.
Babych B., Elliott D., Hartley A. 2004. Calibrating resource-light automatic MT evaluation : a cheap
approach to ranking MT systems by the usability of their output. In: LREC 2004. Proceedings of
the 4th International Conference on Language Resources and Evaluation, Lisbon, Portugal, 2627-28 May 2004., Volume VI, Pp. 2031-2034.
Babych B., Hartley A. 2004. Extending the BLEU MT Evaluation Method with Frequency Weightings.
In: ACL 2004. Proceedings of the 42nd Annual Meeting of the Association for Computational
Linguistics, Barcelona, July 21-26, 2004. (to appear).
Babych B., Elliott D., Hartley A. 2004. Extending MT evaluation tools with translation complexity
metrics. In: COLING 2004. Proceedings of the 20th International Conference on Computational
Linguistics, University of Geneva, Switzerland, August 23rd-27th, 2004. (to appear).
RESEARCH INTERESTS
- Improving MT technology via IE techniques;
- IE-based metrics for automatic MT evaluation;
- Formal properties of human evaluation measures for MT;
- Models for factual and stylistic information in text;
- Parsing languages with high word order variation;
- Machine learning of formal stochastic grammars;
- Using synchronous Lexicalised Tree Adjoining Grammars for MT;
- Data-driven synthesis of Slavonic inflectional paradigms
Bogdan Babych <bogdan@comp.leeds.ac.uk>