Applications of Finite-state Language Processing: Selected Papers From the 2008 International NooJ Conference

Applications of Finite-state Language Processing: Selected Papers From the 2008 International NooJ Conference

Author
Tamás Váradi, Judit Kuti, Max Silberztein
Publisher
Cambridge Scholars Publishing
Language
English
Year
2010
Page
viii+207
ISBN
1443825735,9781443825733,9781443826037
File Type
pdf
File Size
3.3 MiB

Product Description


NooJ is both a corpus processing tool and a linguistic development environment: it allows linguists to formalize several levels of linguistic phenomena: orthography and spelling, lexicons for simple words, multiword units and frozen expressions, inflectional, derivational and productive morphology, local, structural syntax and transformational syntax. For each of these levels, NooJ provides linguists with one or more formal tools specifically designed to facilitate the description of each phenomenon, as well as parsing tools designed to be as computationally efficient as possible. This approach distinguishes NooJ from most computational linguistic tools, which provide a single formalism that should describe everything. As a corpus processing tool, NooJ allows users to apply sophisticated linguistic queries to large corpora in order to build indices and concordances, annotate texts automatically, perform statistical analyses, etc. NooJ is freely available and linguistic modules can already be downloaded for Acadian, Arabic, Armenian, Bulgarian, Catalan, Chinese, Croatian, French, English, German, Hebrew, Greek, Hungarian, Italian, Polish, Portuguese, Spanish and Turkish. The present volume contains papers from the 2008 International NooJ conference held between 08.06.2008. and 10.06.2008. in Budapest. While the focus of the Budapest conference was on making NooJ compatible with other applications, the papers vary with respect to whether they regard NLP as a research goal or as a tool. However, they all present a slightly different problem either in the field of NLP, or in one that can be solved using NLP, or present a new development in the tool itself. The range of problems dealt with in the volume is quite varied, which will hopefully enable the readers to find contributions that are relevant to their field of interest.


About the Author


Tamas Varadi is deputy director of the Research Institute for Linguistics of the Hungarian Academy of Sciences, heading its Research Group for Language Technology, in which Judit Kuti is a junior researcher. Max Silberztein is professor of computational linguistics at Universite Franche Comte, Besancon, in France.

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