Summary of the paper

Title The English-Swedish-Turkish Parallel Treebank
Authors Beáta Megyesi, Bengt Dahlqvist, Éva Á. Csató and Joakim Nivre
Abstract We describe a syntactically annotated parallel corpus containing typologically partly different languages, namely English, Swedish and Turkish. The corpus consists of approximately 300 000 tokens in Swedish, 160 000 in Turkish and 150 000 in English, containing both fiction and technical documents. We build the corpus by using the Uplug toolkit for automatic structural markup, such as tokenization and sentence segmentation, as well as sentence and word alignment. In addition, we use basic language resource kits for the linguistic analysis of the languages involved. The annotation is carried on various layers from morphological and part of speech analysis to dependency structures. The tools used for linguistic annotation, e.g.,\ HunPos tagger and MaltParser, are freely available data-driven resources, trained on existing corpora and treebanks for each language. The parallel treebank is used in teaching and linguistic research to study the relationship between the structurally different languages. In order to study the treebank, several tools have been developed for the visualization of the annotation and alignment, allowing search for linguistic patterns.
Topics Corpus (creation, annotation, etc.), Tools, systems, applications, Grammar and Syntax
Full paper The English-Swedish-Turkish Parallel Treebank
Slides -
Bibtex @InProceedings{MEGYESI10.116,
  author = {Beáta Megyesi and Bengt Dahlqvist and Éva Á. Csató and Joakim Nivre},
  title = {The English-Swedish-Turkish Parallel Treebank},
  booktitle = {Proceedings of the Seventh International Conference on Language Resources and Evaluation (LREC'10)},
  year = {2010},
  month = {may},
  date = {19-21},
  address = {Valletta, Malta},
  editor = {Nicoletta Calzolari (Conference Chair) and Khalid Choukri and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis and Mike Rosner and Daniel Tapias},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {2-9517408-6-7},
  language = {english}
 }
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