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        <title>ParCor 1.0: A Parallel Pronoun-Coreference Corpus to Support Statistical MT</title>
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    <abstract>We present ParCor, a parallel corpus of texts in which pronoun coreference ― reduced coreference in which pronouns are used as referring expressions ― has been annotated. The corpus is intended to be used both as a resource from which to learn systematic differences in pronoun use between languages and ultimately for developing and testing informed Statistical Machine Translation systems aimed at addressing the problem of pronoun coreference in translation. At present, the corpus consists of a collection of parallel English-German documents from two different text genres: TED Talks (transcribed planned speech), and EU Bookshop publications (written text). All documents in the corpus have been manually annotated with respect to the type and location of each pronoun and, where relevant, its antecedent. We provide details of the texts that we selected, the guidelines and tools used to support annotation and some corpus statistics. The texts in the corpus have already been translated into many languages, and we plan to expand the corpus into these other languages, as well as other genres, in the future.</abstract>
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%0 Conference Proceedings
%T ParCor 1.0: A Parallel Pronoun-Coreference Corpus to Support Statistical MT
%A Guillou, Liane
%A Hardmeier, Christian
%A Smith, Aaron
%A Tiedemann, Jörg
%A Webber, Bonnie
%S Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC’14)
%D 2014
%8 may
%I European Language Resources Association (ELRA)
%C Reykjavik, Iceland
%F guillou-etal-2014-parcor
%X We present ParCor, a parallel corpus of texts in which pronoun coreference ― reduced coreference in which pronouns are used as referring expressions ― has been annotated. The corpus is intended to be used both as a resource from which to learn systematic differences in pronoun use between languages and ultimately for developing and testing informed Statistical Machine Translation systems aimed at addressing the problem of pronoun coreference in translation. At present, the corpus consists of a collection of parallel English-German documents from two different text genres: TED Talks (transcribed planned speech), and EU Bookshop publications (written text). All documents in the corpus have been manually annotated with respect to the type and location of each pronoun and, where relevant, its antecedent. We provide details of the texts that we selected, the guidelines and tools used to support annotation and some corpus statistics. The texts in the corpus have already been translated into many languages, and we plan to expand the corpus into these other languages, as well as other genres, in the future.
%U http://www.lrec-conf.org/proceedings/lrec2014/pdf/298_Paper.pdf
%P 3191-3198

Markdown (Informal)

[ParCor 1.0: A Parallel Pronoun-Coreference Corpus to Support Statistical MT](http://www.lrec-conf.org/proceedings/lrec2014/pdf/298_Paper.pdf) (Guillou et al., LREC 2014)

• ParCor 1.0: A Parallel Pronoun-Coreference Corpus to Support Statistical MT (Guillou et al., LREC 2014)

ACL

• Liane Guillou, Christian Hardmeier, Aaron Smith, Jörg Tiedemann, and Bonnie Webber. 2014. ParCor 1.0: A Parallel Pronoun-Coreference Corpus to Support Statistical MT. In Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14), pages 3191–3198, Reykjavik, Iceland. European Language Resources Association (ELRA).