Summary of the paper

Title Comparing Two Acquisition Systems for Automatically Building an English-Croatian Parallel Corpus from Multilingual Websites
Authors Miquel Esplà-Gomis, Filip Klubička, Nikola Ljubešić, Sergio Ortiz-Rojas, Vassilis Papavassiliou and Prokopis Prokopidis
Abstract In this paper we compare two tools for automatically harvesting bitexts from multilingual websites: bitextor and ILSP-FC. We used both tools for crawling 21 multilingual websites from the tourism domain to build a domain-specific English―Croatian parallel corpus. Different settings were tried for both tools and 10,662 unique document pairs were obtained. A sample of about 10% of them was manually examined and the success rate was computed on the collection of pairs of documents detected by each setting. We compare the performance of the settings and the amount of different corpora detected by each setting. In addition, we describe the resource obtained, both by the settings and through the human evaluation, which has been released as a high-quality parallel corpus.
Topics Acquisition, Multilinguality
Full paper Comparing Two Acquisition Systems for Automatically Building an English-Croatian Parallel Corpus from Multilingual Websites
Bibtex @InProceedings{ESPLGOMIS14.529,
  author = {Miquel Esplà-Gomis and Filip Klubička and Nikola Ljubešić and Sergio Ortiz-Rojas and Vassilis Papavassiliou and Prokopis Prokopidis},
  title = {Comparing Two Acquisition Systems for Automatically Building an English-Croatian Parallel Corpus from Multilingual Websites},
  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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