Abstract
The UTACLIR system of University of Tampere uses a dictionary-based CLIR approach. The idea of UTACLIR is to recognize distinct source key types and process them accordingly. The linguistic resources utilized by the framework include morphological analysis or stemming in indexing, normalization of topic words, stop word removal, splitting of compounds, translation utilizing bilingual dictionaries, handling of non-translated words, phrase composition of compounds in the target language, and constructing structured queries. UTACLIR was shown to perform consistently with different language pairs. The greatest differences in performance are due to the translation dictionary used.
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Airio, E., Keskustalo, H., Hedlund, T., Pirkola, A. (2003). UTACLIR @ CLEF 2002 — Bilingual and Multilingual Runs with a Unified Process. In: Peters, C., Braschler, M., Gonzalo, J., Kluck, M. (eds) Advances in Cross-Language Information Retrieval. CLEF 2002. Lecture Notes in Computer Science, vol 2785. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-45237-9_7
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DOI: https://doi.org/10.1007/978-3-540-45237-9_7
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