Summary of the paper

Title Babylon Parallel Text Builder: Gathering Parallel Texts for Low-Density Languages
Authors Michael Mohler and Rada Mihalcea
Abstract This paper describes Babylon, a system that attempts to overcome the shortage of parallel texts in low-density languages by supplementing existing parallel texts with texts gathered automatically from the Web. In addition to the identification of entire Web pages, we also propose a new feature specifically designed to find parallel text chunks within a single document. Experiments carried out on the Quechua-Spanish language pair show that the system is successful in automatically identifying a significant amount of parallel texts on the Web. Evaluations of a machine translation system trained on this corpus indicate that the Web-gathered parallel texts can supplement manually compiled parallel texts and perform significantly better than the manually compiled texts when tested on other Web-gathered data.
Language Multiple languages
Topics Endangered languages, LR Infrastructures and Architectures, Multilinguality
Full paper Babylon Parallel Text Builder: Gathering Parallel Texts for Low-Density Languages
Slides Babylon Parallel Text Builder: Gathering Parallel Texts for Low-Density Languages
Bibtex @InProceedings{MOHLER08.313,
  author = {Michael Mohler and Rada Mihalcea},
  title = {Babylon Parallel Text Builder: Gathering Parallel Texts for Low-Density Languages},
  booktitle = {Proceedings of the Sixth International Conference on Language Resources and Evaluation (LREC'08)},
  year = {2008},
  month = {may},
  date = {28-30},
  address = {Marrakech, Morocco},
  editor = {Nicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Daniel Tapias},
  publisher = {European Language Resources Association (ELRA)},
  isbn = {2-9517408-4-0},
  note = {http://www.lrec-conf.org/proceedings/lrec2008/},
  language = {english}
  }

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