Tekstin tallennus- ja hakumenetelmien kehittäminen suomen kielen tulkintaohjelmien avulla: FULLTEXT-projektin loppuraportti Riitta Alkula & Timo Honkela ABSTRACT The project, Linguistic processing and retrieval techniques in Finnish fulltext databases (FULLTEXT), dealt with the special problems of fulltext databases in the Finnish language. Finnish has a rich inflectional and derivational morphology. Another typical characteristic is the use of compounds; in the English language these compunds would be multi-word terms. The characteristics of Finnish result in poor system performance when commercial information retrieval systems developed for English are used. To decrease the size of the inverted file and to improve retrieval efficiency, it is reasonable to normalize the inflectional variants of a word to the basic form. In the FULLTEXT project, natural language analysis modeules for Finnish were incorporated into the BASIS and APL-MINTTU retrieval systems and severeal test databases were produced. When word forms were normalized to their basic form, the memory size of the index file was smaller than the a traditional index, where the words are saved in their inflectional form. Even when the components of the compound words were added to the basic form index it still remained smaller than the traditional index. In the retrieval tests, best recall was achieved in the index that contained the basic word forms and components of compound words. It was found that good recall did not result in poor precision. The precision ratio was about as good as in other indexes. Queries had best precision in a database where the automatically truncated terms were searched in a traditional index and then the retrievd index terms were analyzed and filtered with natural language analysis modules. Unfortunately, in this case, the recall ration was lower than in other test databases. Problems in the use of natural language modules were also investigated. When the search terms are given in their basic form, the searcher must be more conscious with derivatives and compounds than when using truncated search terms in traditional indexes. Methods to transform the search terms to their correct basic form should be further developed. Remarks The scanned original full text report starts at the 4th page of this document.
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Keywords and search terms: Named entities: VTT, Valtion teknillinen tutkimuskeskus, TEKES, VTKK, KTA-Papyrus, Aamulehti, Länsiväylä-lehti, Tampereen yliopisto, Eeva Palosuo, Juhani Virtanen, Matti Sihto, Kimmo Koskenniemi, Mika Herpiö, Pekka Vuorio, Harri Arnola, Sauli Laitinen, Eero Sormunen, Taru Kuhanen, Sanna Hätönen, Raili Salminen, Markku Kuokkala, Markku Ylinen, Tarja Hjorth, Kaarina Nazarenko, Jaakko Anttila, Kari Martiskainen, Irma Salovaara, Pirjo Valpas, Tarja Heinivaho, Klaus Nurmi, Tuija Tuominen, Kalervo Järvelin, Olli Paavola. Finnish terms: Tiedonhakujärjestelmä, hakujärjestelmä, suomen kieli, taivutusmuoto, johdos, yhdyssana, homografia, sanaliitto, hakusana, taivutusvartalo, perusmuoto, MINTTU, BASIS, testikysely, hakemisto, TWOL, hakutulos, käyttäjä, perusmuotohaku, automaattinen katkaisu English terms: Information retrieval system, database, free-text retrieval, inverted index, index term, stop word, query, Finnish language, inflectional word forms, compound word, automatic truncation, morphological analysis, APL language, C language The full report follows in a scanned form.