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Titlebook: State of the Art in Computational Morphology; Workshop on Systems Cerstin Mahlow,Michael Piotrowski Conference proceedings 2009 Springer-V

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书目名称State of the Art in Computational Morphology
副标题Workshop on Systems
编辑Cerstin Mahlow,Michael Piotrowski
视频video
丛书名称Communications in Computer and Information Science
图书封面Titlebook: State of the Art in Computational Morphology; Workshop on Systems  Cerstin Mahlow,Michael Piotrowski Conference proceedings 2009 Springer-V
描述From the point of view of computational linguistics, morphological resources are the basis for all higher-level applications. This is especially true for languages with a rich morphology, such as German or Finnish. A morphology component should thus be capable of analyzing single word forms as well as whole corpora. For many practical applications, not only morphological analysis, but also generation is required, i.e., the production of surfaces corresponding to speci?c categories. Apart from uses in computational linguistics, there are also numerous practical - plications that either require morphological analysis and generation or that can greatly bene?t from it, for example, in text processing, user interfaces, or information - trieval. These applications have speci?c requirements for morphological components, including requirements from software engineering, such as programming interfaces or robustness. In 1994, the First Morpholympics took place at the University of Erlangen- Nuremberg, a competition between several systems for the analysis and generation of German word forms. Eight systems participated in the First Morpholympics; the conference proceedings [1] thus give a ver
出版日期Conference proceedings 2009
关键词HFST tools; JSLIM; MPRO tagging; Morphisto; Open Source; automata; formal language; grammar; morpho challang
版次1
doihttps://doi.org/10.1007/978-3-642-04131-0
isbn_softcover978-3-642-04130-3
isbn_ebook978-3-642-04131-0Series ISSN 1865-0929 Series E-ISSN 1865-0937
issn_series 1865-0929
copyrightSpringer-Verlag Berlin Heidelberg 2009
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Corpus-Based Lexeme Ranking for Morphological Guessers,l among the top 6 candidates, i.e., an F-score of 65–84%, indicating that the first correct entry suggestion is on the average found as the second or third candidate. The corpus-based ranking methods were found to be significant in practice as they save time for the lexicographer by increasing recal
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Morphological Analysis Using Linguistically Motivated Decomposition of Unknown Words,tering tech niques to analyze and decompose words that are not contained in the underlying dictionary database. The average recognition rate of our German analyzers, applied to our test corpus, increased from 91% to 95,4%. Together with the current implementation, further future decomposition strategies will be presented.
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,JSLIM – Computational Morphology in the Framework of the SLIM Theory of Language,files, i.e. of the lexicon, of the rules and of the variables. The fourth section broaches the subject of the reversibility of grammar rules with the aim of an automatic word form production without any additional rule system. We conclude with an outlook on current and future developments.
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