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Additional info for Proceedings of the Workshop on Multiword Expressions: from Theory to Applications (MWE 2010)
Springer-Verlag. Habash, Nizar, Owen Rambow and Ryan Roth. 2009. A Toolkit for Arabic Tokenization, Diacritization, Morphological Disambiguation, POS Tagging, Stemming and Lemmatization. In the 2nd International Conference on Arabic Language Resources and Tools (MEDAR 2009), pp. 102–109. Cairo, Egypt. SanJuan, Eric and Fidelia Ibekwe-SanJuan. 2006. Text mining without document context. In Information Processing and Management. Volume 42, Issue 6, pp. 1532–1552. Van de Cruys, Tim and Bego˜na Villada Moir´on.
2008. An Evaluation of Methods for the Extraction of Multiword Expressions. In the Workshop on Multiword Expressions, the 6th International Conference on Language Resources and Evaluation (LREC 2008), pp. 50–53. Marrakech, Morocco. Elkateb, Sabri, William Black, Horacio Rodr´ıguez, Musa Alkhalifa, Piek Vossen, Adam Pease, Christiane Fellbaum. 2006. Building a Wordnet for Arabic. In the 5th International Conference on Language Resources and Evaluation (LREC 2006), Genoa, Italy. , Timothy Baldwin, Francis Bond, Ann Copestake and Dan Flickinger.
Fixed Expressions and Idioms in English: A Corpus-Based Approach. Clarendom Press, Oxford. ch Abstract the actual use made of these resources in other NLP applications. In this paper, we consider the particular application of syntactic parsing. , 2002). The standard approach in dealing with MWEs in parsing is to apply a “words-with-spaces” preprocessing step, which marks the MWEs in the input sentence as units which will later be integrated as single blocks in the parse tree built during analysis.