State of the Art in Computational Morphology Workshop on Systems and Frameworks for Computational Morphology, SFCM 2009, Zurich, Switzerland, September 4, 2009. Proceedings /

• Corporate Author: SpringerLink (Online service)
• Other Authors: Mahlow, Cerstin (Editor), Piotrowski, Michael (Editor)
• Format: Electronic eBook
• Language: English
• Published: Berlin, Heidelberg : Springer Berlin Heidelberg : Imprint: Springer, 2009.
• Series: Communications in Computer and Information Science, 41
• Subjects: Computer science.; Mathematical logic.; Data mining.; Text processing (Computer science).; Computational linguistics.; Pattern recognition.; Application software.; Computer Science.; Language Translation and Linguistics.; Document Preparation and Text Processing.; Mathematical Logic and Formal Languages.; Computer Appl. in Arts and Humanities.; Data Mining and Knowledge Discovery.; Pattern Recognition.

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...

Table of Contents:

• Using Ranked Semirings for Representing Morphology Automata
• JSLIM – Computational Morphology in the Framework of the SLIM Theory of Language
• HFST Tools for Morphology – An Efficient Open-Source Package for Construction of Morphological Analyzers
• fsm2 – A Scripting Language for Creating Weighted Finite-State Morphologies
• Morphisto: Service-Oriented Open Source Morphology for German
• Morphosyntactic and Semantic Analysis of Text: The MPRO Tagging Procedure
• Word Manager
• Morphological Analysis Using Linguistically Motivated Decomposition of Unknown Words
• Corpus-Based Lexeme Ranking for Morphological Guessers.