The DOI matches its Crossref record; 27 of the 27 references it cites were found in a registry or an index.
The Web as a Parallel Corpus
Open accessAbstract
Parallel corpora have become an essential resource for work in multilingual natural language processing. In this article, we report on our work using the STRAND system for mining parallel text on the World Wide Web, first reviewing the original algorithm and results and then presenting a set of significant enhancements. These enhancements include the use of supervised learning based on structural features of documents to improve classification performance, a new content-based measure of translational equivalence, and adaptation of the system to take advantage of the Internet Archive for mining parallel text from the Web on a large scale. Finally, the value of these techniques is demonstrated in the construction of a significant parallel corpus for a low-density language pair.
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Cited by
Translation techniques in cross-language information retrieval
Zhou, D., Truran, M., Brailsford, T., Wade, V., & Ashman, H. (2012) · ACM Computing Surveys · doi:10.1145/2379776.2379777 · Cited by 698
Improving Machine Translation Performance by Exploiting Non-Parallel Corpora
Munteanu, D. S., & Marcu, D. (2005) · Computational Linguistics · doi:10.1162/089120105775299168 · Cited by 391
Parallel corpora for medium density languages
Varga, D., Halácsy, P., Kornai, A., Nagy, V., Németh, L., & Trón, V. (2007) · Current Issues in Linguistic Theory · doi:10.1075/cilt.292.32var · Cited by 363
Improved statistical machine translation using paraphrases
Callison-Burch, C., Koehn, P., & Osborne, M. (2006) · Proceedings of the main conference on Human Language Technology Conference of the North American Chapter of the Association of Computational Linguistics - · doi:10.3115/1220835.1220838 · Cited by 288
Using the wayback machine to mine websites in the social sciences: A methodological resource
Arora, S. K., Li, Y., Youtie, J., & Shapira, P. (2016) · Journal of the Association for Information Science and Technology · doi:10.1002/asi.23503 · Cited by 101
Metadata
- Authors
- Resnik, P., & Smith, N. A.
- Venue
- Computational Linguistics
- Publisher
- MIT Press - Journals
- Published
- 2003-09
- Volume
- 29
- Issue
- 3
- Pages
- 349-380
- ISSN
- 0891-2017 (ISSN-L)
- 1530-9312
- OpenAlex
- W2047295649
- Cited by
- 522
- References
- 27
- FWCI
- 25.79
- Type
- journal article
- Language
- en
- Open access
- bronze
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