Abstract
Measuring the similarity of interlanguage-linked Wikipedia articles often requires the use of suitable language resources (e.g., dictionaries and MT systems) which can be problematic for languages with limited or poor translation resources. The size of Wikipedia can also present computational demands when computing similarity. This paper presents a ‘lightweight’ approach to measure cross-lingual similarity in Wikipedia using section headings rather than the entire Wikipedia article, and language resources derived from Wikipedia and Wiktionary to perform translation. Using an existing dataset we evaluate the approach for 7 language pairs. Results show that the performance using section headings is comparable to using all article content, dictionaries derived from Wikipedia and Wiktionary are sufficient to compute cross-lingual similarity and combinations of features can further improve results.
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Notes
- 1.
https://en.wikipedia.org/wiki/List_of_Wikipedias (20 Oct 2016).
- 2.
- 3.
This feature was previously identified as the best language-independent feature to identify cross-lingual similarity in Wikipedia [2].
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Paramita, M.L., Clough, P., Gaizauskas, R. (2017). Using Section Headings to Compute Cross-Lingual Similarity of Wikipedia Articles. In: Jose, J., et al. Advances in Information Retrieval. ECIR 2017. Lecture Notes in Computer Science(), vol 10193. Springer, Cham. https://doi.org/10.1007/978-3-319-56608-5_59
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DOI: https://doi.org/10.1007/978-3-319-56608-5_59
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