Summary of the paper

Title Variations on Quantitative Comparability Measures and their Evaluations on Synthetic French-English Comparable Corpora
Authors Guiyao Ke, Pierre-Francois Marteau and Gildas Menier
Abstract Following the pioneering work by \cite{Li-Gaussier-10}, we address in this paper the analysis of a family of quantitative comparability measures dedicated to the construction and evaluation of topical comparable corpora. After recalling the definition of the quantitative comparability measure proposed by \cite{Li-Gaussier-10}, we develop some variants of this measure based primarily on the consideration that the occurrence frequencies of lexical entries and the number of their translations are important. We compare the respective advantages and disadvantages of these variants in the context of an evaluation framework that is based on the progressive degradation of the Europarl parallel corpus. The degradation is obtained by replacing either deterministically or randomly a varying amount of lines in blocks that compose partitions of the initial Europarl corpus. The impact of the coverage of bilingual dictionaries on these measures is also discussed and perspectives are finally presented.
Topics Text Mining
Full paper Variations on Quantitative Comparability Measures and their Evaluations on Synthetic French-English Comparable Corpora
Bibtex @InProceedings{KE14.120,
  author = {Guiyao Ke and Pierre-Francois Marteau and Gildas Menier},
  title = {Variations on Quantitative Comparability Measures and their Evaluations on Synthetic French-English Comparable Corpora},
  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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