Pronoun Prediction with Linguistic Features and Example Weighing
The result's identifiers
Result code in IS VaVaI
<a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F16%3A10335508" target="_blank" >RIV/00216208:11320/16:10335508 - isvavai.cz</a>
Result on the web
<a href="http://www.statmt.org/wmt16/pdf/W16-2354.pdf" target="_blank" >http://www.statmt.org/wmt16/pdf/W16-2354.pdf</a>
DOI - Digital Object Identifier
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Alternative languages
Result language
angličtina
Original language name
Pronoun Prediction with Linguistic Features and Example Weighing
Original language description
We present a system submitted to the WMT16 shared task in cross-lingual pronoun prediction, in particular, to the English-to-German and German-to-English sub-tasks. The system is based on a linear classifier making use of features both from the target language model and from linguistically analyzed source and target texts. Furthermore, we apply example weighing in classifier learning, which proved to be beneficial for recall in less frequent pronoun classes. Compared to other shared task participants, our best English-to-German system is able to rank just below the top performing submissions.
Czech name
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Czech description
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Classification
Type
D - Article in proceedings
CEP classification
IN - Informatics
OECD FORD branch
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Result continuities
Project
<a href="/en/project/GA16-05394S" target="_blank" >GA16-05394S: Structure of coreferential chains in parallel language data</a><br>
Continuities
P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)
Others
Publication year
2016
Confidentiality
S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů
Data specific for result type
Article name in the collection
Proceedings of the First Conference on Machine Translation (WMT). Volume 2: Shared Task Papers
ISBN
978-1-945626-10-4
ISSN
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e-ISSN
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Number of pages
7
Pages from-to
602-608
Publisher name
Association for Computational Linguistics
Place of publication
Stroudsburg, PA, USA
Event location
Berlin, Germany
Event date
Aug 11, 2016
Type of event by nationality
WRD - Celosvětová akce
UT code for WoS article
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