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Titlebook: Computational Linguistics and Intelligent Text Processing; 9th International Co Alexander Gelbukh Conference proceedings 2008 Springer-Verl

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A Probabilistic Model for Guessing Base Forms of New Words by Analogy inflect. We formalize this into a probabilistic model for lemmatization of new words using analogy, i.e., guessing base forms, and test the model on English, Finnish, Swedish and Swahili demonstrating that we get a recall of 89-99 % with an average precision of 76-94 % depending on language and the amount of training material.
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Kontinuumsmechanische Grundlagen,sign and implementation of new tools prepared for the lexicographic work on the Cornetto project. The tools are based on the DEB development platform and behave as special dictionary clients for the well-known DEBVisDic wordnet editor and browser.
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A Distributed Database System for Developing Ontological and Lexical Resources in Harmonysign and implementation of new tools prepared for the lexicographic work on the Cornetto project. The tools are based on the DEB development platform and behave as special dictionary clients for the well-known DEBVisDic wordnet editor and browser.
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Conference proceedings 2008re intended to provide a wide-scope forum for the discussion of both the art and craft of natural language processing research and the best practices in its applications. This volume contains the papers accepted for oral presentation at the c- ference, as well as several of the best papers accepted
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https://doi.org/10.1007/3-540-32487-9 automatic import: perfect or impossible transfer, transfer with amendments or for the language specific phenomena. This corpus study permits to decide how import techniques can be used on the temporal domain.
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Why Don’t Romanians Have a Five O’clock Tea, Nor Halloween, But Have a Kind of Valentines Day? automatic import: perfect or impossible transfer, transfer with amendments or for the language specific phenomena. This corpus study permits to decide how import techniques can be used on the temporal domain.
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Strömungsmechanische Instabilitätenfferent verb frames available in French in general. A few more frames are discovered when the corpus size changes, but the average number of frames per verb remains relatively stable (about 1.91–2.09 frames per verb).
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