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Additional info for Annals of Pure and Applied Logic, Volume 152, Issues 1-3, Pages 1-180 (March 2008)

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1) we make use of the crosslingual correspondence asymmetry, or many-to-one relations between the titles in the Arabic Wikipedia (AWK) and the corresponding titles in other languages to harvest MWEs. 2) we assume that automatic translation of MWEs collected from PWN into Arabic are high likelihood MWE candidates that need to be automatically checked and validated. 3) we try to detect MWEs in a large raw corpus relying on statistical measures and POS-annotation filtering. 43 Table 1: Size and distribution of MWEs in PWN.

In all such cases, that is, when the right inserted element is a trace, the identification procedure will consider its antecedent, or to be more precise, the semantic head of its antecedent. Finally, the grammatical processes involved in example (4a,c) can combine as in the more complex example (5), for which we give the slightly simplified structure with the chain of elements with index i extending from the fronted wh-phrase which record to the direct object position of the verb break, via the direct object position of the verb consider and the subject position of the secondary predicate (FP) headed by the [+tough] adjective difficult.

80–87. Barcelona, Spain. Melamed, I. Dan. 1997. Automatic Discovery of NonCompositional Compounds in Parallel Data. In the 2nd Conference on Empirical Methods in Natural Language Processing (EMNLP 1997), pp. 97–108. Providence, RI. ˇ Vintar, Spela and Darja Fiˇser. 2008. Harvesting MultiWord Expressions from Parallel Corpora. In the 6th International Conference on Language Resources and Evaluation (LREC 2008). Marrakech, Morocco. Moir´on, Bego˜na Villada and J¨org Tiedemann. 2006. Identifying idiomatic expressions using automatic word-alignment.

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