Tilburg University

About: Tilburg University is a education organization based out in Tilburg, Noord-Brabant, Netherlands. It is known for research contribution in the topics: Population & Context (language use). The organization has 5550 authors who have published 22330 publications receiving 791335 citations.

Arabic Computational Morphology: Knowledge-based and Empirical Methods

Abstract: The morphology of Arabic poses special challenges to computational natural language processing systems. The exceptional degree of ambiguity in the writing system, the rich morphology, and the highly complex word formation process of roots and patterns all contribute to making computational approaches to Arabic very challenging. Indeed many computational linguists across the world have taken up this challenge over time, and many of the researchers with a track record in this research area have contributed to this book. The books subtitle aims to reflect that widely different computational approaches to the Arabic morphological system have been proposed. These accounts fall into two main paradigms: the knowledge-based and the empirical. Since morphological knowledge plays an essential role in any higher-level understanding and processing of Arabic text, the book also features a part on the role of Arabic morphology in larger applications, i.e. Information Retrieval (IR) and Machine Translation (MT).

Multilevel models in international business research

Abstract: Multiple-level (or mixed linear) modeling (MLM) can simultaneously test hypotheses at several levels of analysis (usually two or three), or control for confounding effects at one level while testing hypotheses at others. Advances in multi-level modeling allow increased precision in quantitative international business (IB) research, and open up new methodological and conceptual possibilities. However, they create new challenges, and they are still not frequently used in IB research. In this editorial we outline some key methodological issues for the uses of MLM in IB, including criteria, sample size, and measure equivalence issues. We then examine promising directions for future multilevel IB research considering comparative opportunities at nation, multiple-nation cluster, and within-nation region levels, including large multilevel databases. We also consider its promise for MNE research about semi-globalization, interorganizational effects across nations, clusters within nations, and teams and subsidiaries within MNEs.

Structural Equivalence of the Values Domain Across Cultures Distinguishing Sampling Fluctuations From Meaningful Variation

Abstract: The authors examine the cross-cultural equivalence of the internal structure of the values domain, as measured by the Schwartz Value Survey. Data come from 38 countries, each represented by a student and a teacher sample. In seeking to distinguish lack of fit of the theorized value model from a lack of equivalence in the data and the impact of random sampling fluctuations from valid structural differences, the authors find the following: (a) The Schwartz value theory provides an excellent representation of the average value structure across samples; (b) sampling fluctuation causes deviations from this average structure; (c) sampling fluctuation cannot account for all these deviations; (d) samples of students fit the overall value structure better than samples of teachers, and samples from Western countries better than those from non-Western countries; and (e) the deviations from the average structure exhibit a systematic pattern: the higher the level of societal development of a country, the greater the c...