Summary of the paper
| Title | Co-clustering of Bilingual Datasets as a Mean for Assisting the Construction of Thematic Bilingual Comparable Corpora |
|---|---|
| Authors | Guiyao Ke and Pierre-Francois Marteau |
| Abstract | We address in this paper the assisted construction of bilingual thematic comparable corpora by means of co-clustering bilingual documents collected from raw sources such as the Web. The proposed approach is based on a quantitative comparability measure and a co-clustering approach which allow to mix similarity measures existing in each of the two linguistic spaces with a ''thematic'' comparability measure that defines a mapping between these two spaces. With the improvement of the co-clustering ($k$-medoids) performance we get, we use a comparability threshold and a manual verification to ensure the good and robust alignment of co-clusters (co-medoids). Finally, from any available raw corpus, we enrich the aligned clusters in order to provide ''thematic'' comparable corpora of good quality and controlled size. On a case study that exploit raw web data, we show that this approach scales reasonably well and is quite suited for the construction of thematic comparable corpora of good quality. |
| Topics | Corpus (Creation, Annotation, etc.) |
Full paper  |
Co-clustering of Bilingual Datasets as a Mean for Assisting the Construction of Thematic Bilingual Comparable Corpora |
| Bibtex | @InProceedings{KE14.88, author = {Guiyao Ke and Pierre-Francois Marteau}, title = {Co-clustering of Bilingual Datasets as a Mean for Assisting the Construction of Thematic Bilingual 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} } |