This paper contributes to the ongoing debate as to the relevance of translation studies to professional practitioners. It exposes the various misconceptions permeating the links between theory and practice in the translation landscape in the Arab World. It is a thesis of this paper that specialization in translation should be redefined; taking account of the fact, that specialized knowledge alo...

We are going to present an architecture for natural language processing systems especially designed for spontaneous speech. We introduce the notion of a layered chart for information separation and information hiding. Complex distributed systems can be built using this approach which do not rely on a central data structure or control model. We describe a typed feature formalism with appropriate...

This paper claims that constructing a dictionary using bilingual pairs obtained from parallel corpora needs not only correct alignment of two noun phrases but also judgment of its appropriateness as an entry. It specifically addresses the latter task, which has been paid little attention. It demonstrates a method of selecting a suitable entry using Support Vector Machines, and proposes to regar...

In Machine Translation, it is customary to compute the model score of a predicted hypothesis as a linear combination of multiple features, where each feature assesses a particular facet of the hypothesis. The choice of a linear combination is usually justified by the possibility of efficient inference (decoding); yet, the appropriateness of this simple combination scheme to the task at hand is ...

This study aimed to validate the Italian version of the Leadership Judgement Indicator, an unconventional instrument devoted to measurement of leaders' judgments and preferred styles, ie, directive, consultative, consensual, or delegative, when dealing with a range of decision-making scenarios. After forward-translation and back-translation, its psychometric properties were estimated for 299 ma...

Cross-language text classification (CLTC) aims to take advantage of existing training data from one language to construct a classifier for another language. In addition to the expected translation issues, CLTC is also complicated by the cultural distance between both languages, which causes that documents belonging to the same category concern very different topics. This paper proposes a re-cla...