Abstract
NooJ is a linguistic development environment that allows users to construct large formalised dictionaries and grammars and use these resources to build robust NLP applications. NooJ’s approach to the formalisation of natural languages is bottom-up: linguists start by formalising basic phenomena such as spelling and morphology, and then formalise higher and higher linguistic levels, moving up towards the sentence level. NooJ provides parsers that operate in cascade at each individual level of the formalisation: tokenizers, morphological analysers, simple and compound terms indexers, disambiguation tools, syntactic parsers, named entities annotators and semantic analysers. This architecture requires NooJ’s parsers to communicate via a Text Annotation Structure that stores both correct results and erroneous hypotheses (to be deleted later).
This is a preview of subscription content, log in via an institution to check access.
Access this chapter
Tax calculation will be finalised at checkout
Purchases are for personal use only
Preview
Unable to display preview. Download preview PDF.
References
Chomsky, N.: Syntactic Structures. La Haye, Monton (1957)
Barker, K., Szpakowicz, S.: Semi-Automatic Recognition of Noun Modifier Relationships. In: Proceedings of COLING-ACL 1998, Montréal (1998)
Silberztein, M.: Les groupes nominaux productifs et les noms composés lexicalisés. In: Linguisticae Investigationes #17:2., John Benjamins, Amsterdam (1993)
Lewis, D., Sparck Jones, K.: Natural Language Processing for Information Retrieval. In: Communications of the ACM #39:1, ACM, New York (1996)
Church, K.: A Stochastic Parts Program and Noun Phrase Parser for Unrestricted Text. In: Proceedings of Second Conference on Applied Natural Language Processing (ANLP 1988), Austin TX (1988)
Marcus, M., Santorini, B., Marcinkiewicz, M.A.: Building a large annotated corpus of English: the Penn Treebank. In: Computational Linguistics #19, The MIT Press, Cambridge (1993)
Silberztein, M.: NooJ’s Manual can be downloaded from TU (2002), http://www.nooj4nlp.netUT
Silberztein, M.: Dictionnaires électroniques et analyse automatique de textes. Masson. Paris (1993)
Silberztein, M.: Dictionnaires électroniques et comptage des mots. In: Proceedings of Troisièmes Journées d’Analyse des Données Textuelles (JADT). Rome (1995)
Author information
Authors and Affiliations
Editor information
Rights and permissions
Copyright information
© 2007 Springer-Verlag Berlin Heidelberg
About this paper
Cite this paper
Silberztein, M. (2007). An Alternative Approach to Tagging. In: Kedad, Z., Lammari, N., Métais, E., Meziane, F., Rezgui, Y. (eds) Natural Language Processing and Information Systems. NLDB 2007. Lecture Notes in Computer Science, vol 4592. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-540-73351-5_1
Download citation
DOI: https://doi.org/10.1007/978-3-540-73351-5_1
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-540-73350-8
Online ISBN: 978-3-540-73351-5
eBook Packages: Computer ScienceComputer Science (R0)