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This article describes an English Zulu learners’ dictionary that is part of a larger set of information tools, namely an online Zulu course, an e-dictionary of possessives (which was implemented earlier) accompanied by training software offering translation tasks on several levels, and an ontology of morphemic items categorizing and describing all parts of speech of Zulu. The underlying lexicographic database contains the usual type of lexicographic data, such as translation equivalents and their respective morphosyntactic data, but its entries have been extended with data related to the lessons of the online course in order to enable the learner to link both tools autonomously. The ‘outer matter’ is integrated into the website in the form of several texts on additional web pages (how-to-use, typical outputs, grammar tables, information on morphosyntactic rules, etc.). The dictionary comprises a modular system, where each module fulfils one of the necessary functions.
Just like most varieties of West Germanic, virtually all varieties of German use a construction in which a cognate of the English verb 'do' (standard German 'tun') functions as an auxiliary and selects another verb in the bare infinitive, a construction known as 'do'-periphrasis or 'do'-support. The present paper provides an Optimality Theoretic (OT) analysis of this phenomenon. It builds on a previous analysis by Bader and Schmid (An OT-analysis of 'do'-support in Modern German, 2006) but (i) extends it from root clauses to subordinate clauses and (ii) aims to capture all of the major distributional patterns found across (mostly non-standard) varieties of German. In so doing, the data are used as a testing ground for different models of German clause structure. At first sight, the occurrence of 'do' in subordinate clauses, as found in many varieties, appears to support the standard CP-IP-VP analysis of German. In actual fact, however, the full range of data turn out to challenge, rather than support, this model. Instead, I propose an analysis within the IP-less model by Haider (Deutsche Syntax - generativ. Vorstudien zur Theorie einer projektiven Grammatik, Narr, Tübingen, 1993 et seq.). In sum, the 'do'-support data will be shown to have implications not only for the analysis of clause structure but also for the OT constraints commonly assumed to govern the distribution of 'do', for the theory of non-projecting words (Toivonen in Non-projecting words, Kluwer, Dordrecht, 2003) as well as research on grammaticalization.
Although there is a growing interest of policy makers in higher education issues (especially on an international scale), there is still a lack of theoretically well-grounded comparative analyses of higher education policy. Even broadly discussed topics in higher education research like the potential convergence of European higher education systems in the course of the Bologna Process suffer from a thin empirical and comparative basis. This paper aims to deal with these problems by addressing theoretical questions concerning the domestic impact of the Bologna Process and the role national factors play in determining its effects on cross-national policy convergence. It develops a distinct theoretical approach for the systematic and comparative analysis of cross-national policy convergence. In doing so, it relies upon insights from related research areas — namely literature on Europeanization as well as studies dealing with cross-national policy convergence.
MRI data of German vowels and consonants was acquired for 9 speakers. In this paper tongue contours for the vowels were analyzed using the three-mode factor analysis technique PARAFAC. After some difficulties, probably related to what constitutes an adequate speaker sample for this three-mode technique to work, a stable two-factor solution was extracted that explained about 90% of the variance. Factor 1 roughly captured the dimension low back to high front; Factor 2 that from mid front to high back. These factors are compared with earlier models based on PARAFAC. These analyses were based on midsagittal contours; the paper concludes by illustrating from coronal and axial sections how non-midline information could be incorporated into this approach.
Dieser Artikel analysiert am Beispiel eines Racletteessens unter Freunden, wie innerhalb einer langen Sequenz das Warten auf den Beginn des Essens strukturiert wird. Während der fast 50 Minuten, die zwischen der Ankunft der ersten Gäste sowie dem Beginn des Essens vergehen, orientieren sich die Teilnehmer auf unterschiedliche Weise zum Warten als Aktivität. Das sukzessive Eintreffen der Gäste führt jeweils zu Eröffnungssequenzen innerhalb dieser Wartezeit. Anhand von Auszügen dieser Zeitspanne verfolgt die Analyse, wie sich die Teilnehmer zu dieser Zeitlichkeit des Wartens und (Noch-nicht-)Beginnens orientieren und wie sie den Anfang des Essens gemeinsam konstruieren.
We continue the study of the reproducibility of Propp’s annotations from Bod et al. (2012). We present four experiments in which test subjects were taught Propp’s annotation system; we conclude that Propp’s system needs a significant amount of training, but that with sufficient time investment, it can be reliably trained for simple tales.
Antonymy is a relation of lexical opposition which is generally considered to involve (i) the presence of a scale along which a particular property may be graded, and hence both (ii) gradability of the corresponding lexical items and (iii) typical entailment relations. Like other types of lexical opposites, antonyms typically differ only minimally: while denoting opposing poles on the relevant dimension of difference, they are similar with respect to other components of meaning. This paper presents examples of antonymy from the domain of speech act verbs which either lack some of these typical attributes or show problems in the application of these. It discusses several different proposals for the classification of these atypical examples.
HMMs are the dominating technique used in speech recognition today since they perform well in overall phone recognition. In this paper, we show the comparison of HMM methods and machine learning techniques, such as neural networks, decision trees and ensemble classifiers with boosting and bagging in the task of articulatory-acoustic feature classification. The experimental results show that HMM methods work well for the classification of such features as vocalic. However, decision tree and bagging outperform HMMs for the fricative classification task since the data skewness is much higher than for the feature vocalic classification task. This demonstrates that HMMs do not perform as well as decision trees and bagging in highly skewed data settings.