Abstract
Information Retrieval systems can benefit from advanced linguistic resources when carrying out tasks such as word-stemming or query translation. The main goal of our experiments has been the development of methodologies that minimize the human labor needed for creating linguistic resources for new languages. For this purpose, we have applied statistical techniques to extract information directly from the collections.
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© 2005 Springer-Verlag Berlin Heidelberg
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Di Nunzio, G.M., Ferro, N., Orio, N. (2005). Experiments on Statistical Approaches to Compensate for Limited Linguistic Resources. In: Peters, C., Clough, P., Gonzalo, J., Jones, G.J.F., Kluck, M., Magnini, B. (eds) Multilingual Information Access for Text, Speech and Images. CLEF 2004. Lecture Notes in Computer Science, vol 3491. Springer, Berlin, Heidelberg. https://doi.org/10.1007/11519645_6
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DOI: https://doi.org/10.1007/11519645_6
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-27420-9
Online ISBN: 978-3-540-32051-7
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