Summary
Accurate and relevant intelligence is critical for effective counterterrorism. Too much irrelevant information is as bad or worse than not enough information. Modern computational tools promise to provide better search and summarization capabilities to help analysts filter and select relevant and key information. However, to do this task effectively, such tools must have access to levels of meaning beyond the literal. Terrorists operating in context-rich cultures like fundamentalist Islam use messages with multiple levels of interpretation, which are easily misunderstood by non-insiders. This chapter discusses several kinds of such “encryption” used by terrorists and insurgents in the Arabic language, and how knowledge of such methods can be used to enhance computational text analysis techniques for use in counterterrorism.
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
Barnbrook, G. 1996. Language and computers. Edinburgh: Edinburgh University Press.
Biber, D., S. Conrad, and R. 1998. Reppen corpus linguistics, investigating language structure and use. Cambridge: Cambridge UP.
Buckwalter T. 2002. Buckwalter Arabic Morphological Analyzer Version 1.0. Linguistic Data Consortium, catalog number LDC2002L49 and ISBN 1-58563-257-0. http://www.ldc.upenn.edu/myl/morph/buckwalter.html
Charteris-Black, J. 2004. Corpus approaches to critical metaphor analysis. Basingstoke: Palgrave Macmillan.
Chilton, P. 1996. Security metaphors: Cold War discourse from containment to common house : Conflict and consciousness; v.2. New York: Peter Lang.
Croft, W., and D. A. Cruse. 2004. Cognitive linguistics: Cambridge textbooks in linguistics. Cambridge: Cambridge University Press.
Cuyckens, H., R. Dirven, and J. R. Taylor (eds.) 2003. Cognitive approaches to lexical semantics. Cognitive linguistics research; 23. Berlin; New York: Mouton de Gruyter.
Dirven, R., and M. Verspoor (eds.) 2004. Cognitive exploration of language and linguistics. Amsterdam: John Benjamins.
Dirven, R., R. Frank, and C. Ilie (eds.) 2001. Language and ideology. Amsterdam; Philadelphia: John Benjamins.
Dirven, R., R. M. Frank, and M. Putz eds. 2003. Cognitive models in language and thought: ideology, metaphors and meanings. Cognitive linguistics research; 24 . Berlin: Mouton de Gruyter.
Fauconnier, G., and M. Turner. 2002. The way we think: conceptual blending and the mind’s hidden complexities. New York: Basic Books.
Fauconnier, G. 1997. Mappings in thought and language. Cambridge, U.K.; New York,: Cambridge University Press.
Goldberg, A. ed. 1996. Conceptual structure, discourse and language. Stanford: CLSI.
Grossman, D., and O. Frieder. 2004. Information retrieval: algorithms and heuristics, 2nd ed. Springer Publishers.
Guidère M. 2006a. Al-Qaeda’s Noms de Guerre: How should we decode terrorists’ names?. Defense Concepts, 1(3):6–16.
Guidère, M. 2006b. The Al-Qaeda “Martyrs”, Paris : Editions du Temps, p. 240.
Hudson, R. 2006. Language networks. The new word grammar. New York: Oxford University Press.
Langacker, R. W. 1987. Foundations of cognitive grammar. Stanford, CA.: Stanford University Press.
Langacker, R. W. 2001. Discourse in cognitive grammar. Cognitive Linguistics 12:143–88
Lebart, L., A. Salem, and L. Berry. 1997. Exploring textual data. Kluwer Academic Publishers.
Lee, D. 2001. Cognitive linguistics: an introduction. Melbourne; Oxford: Oxford University Press.
Madigan, D., Genkin, A., Lewis, D., Argamon, S., Fradkin, D., and L. Ye. 2005. Author Identification on the large scale. Joint Annual Meeting of the Interface and the Classification Society of North America (CSNA)
Mehler, A. 2007. Large text networks as an object of corpus linguistic studies. In: Corpus linguistics. L|deling, A. and Kytv, M. (eds.). An international handbook of the science of language and society, Berlin/New York: de Gruyter.
Nadeau, D. and S. Sekine. 2007. A survey of named entity recognition and classification. Linguisticae Investigationes, 30(1):3–26.
Palmer, G. 1996. Toward a theory of cultural linguistics. Austin: University of Texas Press.
Partington, A. 1998. Patterns and meanings: Using corpora for english language research and teaching. Philadephia, PA: John Benjamins.
Semino, E., and J. Culpeper (eds.) 2002. Cognitive stylistics: language and cognition in text analysis . Linguistic approaches to literature; v. 1 . Amsterdam: John Benjamins.
Stefanowitsch, A., and S. Thomas Gries. 2006. Corpora in cognitive linguistics: Corpus-based approaches to syntax and lexis, New York: De Gruyter. Young, S. (ed.). 1997. Corpus-based methods in language and speech processing. Kluver Academic publishers
Talmy, L. 2000. Toward a cognitive semantics. Cambridge, MA.; London: MIT Press.
Tomasello, M. 1998. The new psychology of language: Cognitive and functional approaches to language structure. Mahwah, NJ: Laurence Erlbaum.
Ungerer, F., and S., Hans-Jorg. 1996. An Introduction to Cognitive Linguistics. Longman.
Author information
Authors and Affiliations
Corresponding author
Editor information
Editors and Affiliations
Rights and permissions
Copyright information
© 2009 Springer-Verlag Berlin Heidelberg
About this chapter
Cite this chapter
Guidère, M., Howard, N., Argamon, S. (2009). Rich Language Analysis for Counterterrorism. In: Argamon, S., Howard, N. (eds) Computational Methods for Counterterrorism. Springer, Berlin, Heidelberg. https://doi.org/10.1007/978-3-642-01141-2_7
Download citation
DOI: https://doi.org/10.1007/978-3-642-01141-2_7
Published:
Publisher Name: Springer, Berlin, Heidelberg
Print ISBN: 978-3-642-01140-5
Online ISBN: 978-3-642-01141-2
eBook Packages: Computer ScienceComputer Science (R0)