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TSD
2010
Springer

Comparison of Different Lemmatization Approaches through the Means of Information Retrieval Performance

9 years 9 months ago
Comparison of Different Lemmatization Approaches through the Means of Information Retrieval Performance
This paper presents a quantitative performance analysis of two different approaches to the lemmatization of the Czech text data. The first one is based on manually prepared dictionary of lemmas and set of derivation rules while the second one is based on automatic inference of the dictionary and the rules from training data. The comparison is done by evaluating the mean Generalized Average Precision (mGAP) measure of the lemmatized documents and search queries in the set of information retrieval (IR) experiments. Such method is suitable for efficient and rather reliable comparison of the lemmatization performance since a correct lemmatization has proven to be crucial for IR effectiveness in highly inflected languages. Moreover, the proposed indirect comparison of the lemmatizers circumvents the need for manually lemmatized test data which are hard to obtain and also face the problem of incompatible sets of lemmas across different systems.
Jakub Kanis, Lucie Skorkovská
Added 15 Feb 2011
Updated 15 Feb 2011
Type Journal
Year 2010
Where TSD
Authors Jakub Kanis, Lucie Skorkovská
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