Summary of the paper
| Title | Automatic Acquisition of Parallel Corpora from Websites with Dynamic Content |
|---|---|
| Authors | Yulia Tsvetkov and Shuly Wintner |
| Abstract | Parallel corpora are indispensable resources for a variety of multilingual natural language processing tasks. This paper presents a technique for fully automatic construction of constantly growing parallel corpora. We propose a simple and effective dictionary-based algorithm to extract parallel document pairs from a large collection of articles retrieved from the Internet, potentially containing manually translated texts. This algorithm was implemented and tested on Hebrew-English parallel texts. With properly selected thresholds, precision of 100% can be obtained. |
| Topics | Corpus (creation, annotation, etc.), Multilinguality, Machine Translation, SpeechToSpeech Translation |
Full paper |
Automatic Acquisition of Parallel Corpora from Websites with Dynamic Content |
Slides |
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| Bibtex | @InProceedings{TSVETKOV10.40, author = {Yulia Tsvetkov and Shuly Wintner}, title = {Automatic Acquisition of Parallel Corpora from Websites with Dynamic Content}, 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} } |