Information retrieval
Stemming algorithms: a case study for detailed evaluation
Journal of the American Society for Information Science - Special issue: evaluation of information retrieval systems
Mastering regular expressions
Stemming methodologies over individual query words for an Arabic information retrieval system
Journal of the American Society for Information Science
Real life, real users, and real needs: a study and analysis of user queries on the web
Information Processing and Management: an International Journal
Relevance ranking for one to three term queries
Information Processing and Management: an International Journal
Viewing morphology as an inference process
Artificial Intelligence - Special issue on Intelligent internet systems
Finite-State Language Processing
Finite-State Language Processing
Improving the retrieval effectiveness of very short queries
Information Processing and Management: an International Journal
Flexible pattern matching in strings: practical on-line search algorithms for texts and biological sequences
Using graded relevance assessments in IR evaluation
Journal of the American Society for Information Science and Technology
Proceedings of the 26th annual international ACM SIGIR conference on Research and development in informaion retrieval
Regular Expression Pocket Reference
Regular Expression Pocket Reference
Monolingual Document Retrieval for European Languages
Information Retrieval
How Effective is Stemming and Decompounding for German Text Retrieval?
Information Retrieval
Regular expressions for language engineering
Natural Language Engineering
Word normalization and decompounding in mono- and bilingual IR
Information Retrieval
Speech and Language Processing (2nd Edition)
Speech and Language Processing (2nd Edition)
Restricted inflectional form generation in management of morphological keyword variation
Information Retrieval
Does dictionary based bilingual retrieval work in a non-normalized index?
Information Processing and Management: an International Journal
Is a morphologically complex language really that complex in full-text retrieval?
FinTAL'06 Proceedings of the 5th international conference on Advances in Natural Language Processing
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The paper presents a new method for handling of morphological variation of query terms in best-match IR. The method is based on enhanced inflectional stems. Use of inflectional stems has earlier been shown to be a good retrieval method in inflected indexes in a best-match environment for a highly inflected and compound-rich language, Finnish. In this paper the earlier stem method is elaborated upon by enhancing the stems with regular expressions. Contrary to our expectations the results show that the enhanced stem queries do not outperform basic inflectional stems, but neither are they considerably worse with long queries. With short web-like queries they perform relatively better than with long queries and outperform clearly stemming (Finnish stemmer of Snowball) and plain, unprocessed query words. The main benefits of the proposed method, besides fairly good precision and recall (P-R) performance, are shorter and more manageable queries, which is of practical importance, e.g. with large web indexes.