The paper presents a corpus-based method for finding metaphorically used lexemes and prevailing semantico-conceptual source domains, given a target domain corpus. It is exemplified by a case study on the target domain of European politics, based on a French 800,000 token corpus. 1

The current paradigm in parsing has been developed primarily using English, a language that relies on word order to express grammatical function. However, most languages in the world rely much more on NP-marking to express the same functions. We propose therefore a shallow NP parsing technique which makes much more use of NP-marking, and evaluate the technique on Korean, an agglutinating language. 1 Introduction In this paper, we take a shallow parsing approach to identifying Noun Phrases and their grammatical relationship to the verb. Unlike more conventional parsers, our techniques rely on local analysis and the use of decision trees which are trained on syntactically annotated corpora. 1.1 Coding Grammatical Function One of the most important reasons for performing parsing is to determine the functional relationships that exist between constituents in a sentence. Determining these relationships is necessary for many, if not most, applications of parsing, including Machine Tr...

Abstract: In this paper, we address the problem of Part-Of-Speech(POS) tagging of Arabic texts with vowel marks. After the description of the specificities of Arabic language and the induced difficulties on the task of POS-tagging, we propose an approach that combines several methods (stochastic and rule-based). For the implementation of these methods and the global POS-tagging system, we adopted a multi-agent architecture. In which, five tagger agents work in parallel, each one applies its own method, in order to propose for each word in a sentence the suitable tag among those proposed by the morphological analyzer. The tagger agents cooperate together and with the unknown words solver agent to resolve unknown words. A voting agent decides in the end, which tag to affect to each word. Finally, we present the experimental protocol we used to evaluate the system carried out in this work and the obtained results that we consider very satisfactory.