Lost in translation: Authorship attribution using frame semantics
Research output: Chapter in Book/Report/Conference proceeding › Article in proceedings › Research › peer-review
We investigate authorship attribution using classifiers based on frame semantics. The purpose is to discover whether adding semantic information to lexical and syntactic methods for authorship attribution will improve them, specifically to address the difficult problem of authorship attribution of translated texts. Our results suggest (i) that frame-based classifiers are usable for author attribution of both translated and untranslated texts; (ii) that framebased classifiers generally perform worse than the baseline classifiers for untranslated texts, but (iii) perform as well as, or superior to the baseline classifiers on translated texts; (iv) that-contrary to current belief-naïve classifiers based on lexical markers may perform tolerably on translated texts if the combination of author and translator is present in the training set of a classifier.
Original language | English |
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Title of host publication | ACL-HLT 2011 - Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics : Human Language Technologies |
Number of pages | 6 |
Publication date | 1 Dec 2011 |
Pages | 65-70 |
ISBN (Print) | 9781932432886 |
Publication status | Published - 1 Dec 2011 |
Event | 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL-HLT 2011 - Portland, OR, United States Duration: 19 Jun 2011 → 24 Jun 2011 |
Conference
Conference | 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies, ACL-HLT 2011 |
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Land | United States |
By | Portland, OR |
Periode | 19/06/2011 → 24/06/2011 |
Sponsor | Google, Baidu, Microsoft Research, Pacific Northwest National Laboratory, Yahoo |
Series | ACL-HLT 2011 - Proceedings of the 49th Annual Meeting of the Association for Computational Linguistics: Human Language Technologies |
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Volume | 2 |
ID: 224020667