Summary of the paper

Title ParCor 1.0: A Parallel Pronoun-Coreference Corpus to Support Statistical MT
Authors Liane Guillou, Christian Hardmeier, Aaron Smith, Jörg Tiedemann and Bonnie Webber
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.
Topics Discourse Annotation, Representation and Processing, Machine Translation, SpeechToSpeech Translation
Full paper ParCor 1.0: A Parallel Pronoun-Coreference Corpus to Support Statistical MT
Bibtex @InProceedings{GUILLOU14.298,
  author = {Liane Guillou and Christian Hardmeier and Aaron Smith and Jörg Tiedemann and Bonnie Webber},
  title = {ParCor 1.0: A Parallel Pronoun-Coreference Corpus to Support Statistical MT},
  booktitle = {Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)},
  year = {2014},
  month = {may},
  date = {26-31},
  address = {Reykjavik, Iceland},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Thierry Declerck and Hrafn Loftsson and Bente Maegaard and Joseph Mariani and Asuncion Moreno and Jan Odijk and Stelios Piperidis},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {978-2-9517408-8-4},
  language = {english}
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