Token codeswitching and language alternation in narrative discourse: a functional-pragmatic approach

This study is concerned with two phenomena of language alternation in biographic narrations in Yiddish and Low German, based on spoken language data recorded between 1988 and 1995. In both phenomena language alternation serves as an additional communicative tool which can be applied by bilingual speakers to enlarge their set of interactional devices in order to ensure a smoother or more pointed processing of communicative aims. The first phenomenon is a narrative strategy I call Token Cod-eswitching: In a bilingual narrative culminating in a line of reported speech, a single element of L2 indicates the original language of the reconstructed dialogue – a token for a quote. The second phenomenon has to do with directing procedures, carried out by the speaker and aimed at guiding the hearer's attention, which are frequently carried out in L2, supporting the hearer's attention at crucial points in the interaction. Both phenomena are analyzed following a model of narrative discourse as proposed in the framework of Functional Pragmatics. The model allows the adoption of an integral approach to previous findings in code-switching research.

Globally optimal parameters for on-line learning in multilayer neural networks

We present a framework for calculating globally optimal parameters, within a given time frame, for on-line learning in multilayer neural networks. We demonstrate the capability of this method by computing optimal learning rates in typical learning scenarios. A similar treatment allows one to determine the relevance of related training algorithms based on modifications to the basic gradient descent rule as well as to compare different training methods.

Dynamics of on-line learning in radial basis function networks

On-line learning is examined for the radial basis function network, an important and practical type of neural network. The evolution of generalization error is calculated within a framework which allows the phenomena of the learning process, such as the specialization of the hidden units, to be analyzed. The distinct stages of training are elucidated, and the role of the learning rate described. The three most important stages of training, the symmetric phase, the symmetry-breaking phase, and the convergence phase, are analyzed in detail; the convergence phase analysis allows derivation of maximal and optimal learning rates. As well as finding the evolution of the mean system parameters, the variances of these parameters are derived and shown to be typically small. Finally, the analytic results are strongly confirmed by simulations.

On-line learning in radial basis functions networks

An analytic investigation of the average case learning and generalization properties of Radial Basis Function Networks (RBFs) is presented, utilising on-line gradient descent as the learning rule. The analytic method employed allows both the calculation of generalization error and the examination of the internal dynamics of the network. The generalization error and internal dynamics are then used to examine the role of the learning rate and the specialization of the hidden units, which gives insight into decreasing the time required for training. The realizable and over-realizable cases are studied in detail; the phase of learning in which the hidden units are unspecialized (symmetric phase) and the phase in which asymptotic convergence occurs are analyzed, and their typical properties found. Finally, simulations are performed which strongly confirm the analytic results.

On-line learning in neural networks

On-line learning is one of the most powerful and commonly used techniques for training large layered networks and has been used successfully in many real-world applications. Traditional analytical methods have been recently complemented by ones from statistical physics and Bayesian statistics. This powerful combination of analytical methods provides more insight and deeper understanding of existing algorithms and leads to novel and principled proposals for their improvement. This book presents a coherent picture of the state-of-the-art in the theoretical analysis of on-line learning. An introduction relates the subject to other developments in neural networks and explains the overall picture. Surveys by leading experts in the field combine new and established material and enable non-experts to learn more about the techniques and methods used. This book, the first in the area, provides a comprehensive view of the subject and will be welcomed by mathematicians, scientists and engineers, whether in industry or academia.

Efficient Bayesian inference for learning in the Ising linear perceptron and signal detection in CDMA

Efficient new Bayesian inference technique is employed for studying critical properties of the Ising linear perceptron and for signal detection in code division multiple access (CDMA). The approach is based on a recently introduced message passing technique for densely connected systems. Here we study both critical and non-critical regimes. Results obtained in the non-critical regime give rise to a highly efficient signal detection algorithm in the context of CDMA; while in the critical regime one observes a first-order transition line that ends in a continuous phase transition point. Finite size effects are also studied. © 2006 Elsevier B.V. All rights reserved.

Die Sprache der Auricher Juden. Zur Rekonstruktion westjiddischer Sprachreste in Ostfriesland:to reconstruct westjiddischer language residues in Ostfriesland

Western Yiddish, the spoken language of the traditional Jewish society in the German- and Dutch-speaking countries, was abandoned by its speakers at the end of the 18th in favour of the emerging standard varieties: Dutch and German, respectively. Remnants of Western Yiddish varieties, however, remained a medium of discourse in remote provinces and could be found well into the 19th and sometimes the 20th century in some South-western areas of Germany and Switzerland, the Alsace, some areas of the Netherlands and in parts of the German province of Westphalia. It appears that rural Jewish communities sometimes preserved in-group vernaculars, which were based on Western Yiddish. Sources discovered in 2004 in the town of Aurich prove that Jews living in East Frisia, a Low-German speaking peninsula in the North-west of Germany, used a variety based on Western Yiddish until the Second World War. It appears that until the Holocaust a number of small, close-knit Jewish communities East Frisia, which depended economically mainly on cattle-trading and butchery, kept certain specific cultural features, among them the vernacular which they spoke alongside Low German and Standard German. The sources consist of two amateur theatre plays, a memoir and two word lists written in 1902, 1928 and the 1980s, respectively. In the monograph these sources are documented and annotated as well as analyzed linguistically against the background of rural Jewish life in Northern Germany. The study focuses on traces of language contact with Low German, processes of language change and on the question of the function of the variety in day-to-day life in a rural Jewish community.

Introducing international accounting standards to an emerging capital market: relative familiarity and language effect in Egypt

The purpose of this study is to assess the effect of relative familiarity and language accessibility on the International Accounting Standards (IASs) disclosures when IASs are first introduced in an emerging capital market. The study focuses on the annual reports of listed non-financial companies in Egypt when IASs were first introduced. The method used applies a disclosure index measurement to a sample of listed company annual reports and evaluates relative compliance with IASs in relation to corporate characteristics. The results show that for relatively less familiar requirements of IASs, the extent of compliance is related to the type of audit firm used and to the presence of a specific statement of compliance with IASs. A lower degree of compliance with less familiar IASs disclosure is observed consistently across a range of company characteristics. Consideration of agency theory and capital need theory would lead to prior expectation of a distinction in disclosure practices between different categories of companies. The results were, therefore, counterintuitive to expectations where the regulations were unfamiliar or not available in the native language, indicating that new variables have to be considered and additional theoretical explanations have to be found in future disclosure studies on emerging capital markets.

The digital divide and ICT learning in rural communities:examples of good practice service delivery

This article aims to gain a greater understanding of relevant and successful methods of stimulating an ICT culture and skills development in rural areas. The paper distils good practice activities, utilizing criteria derived from a review of the rural dimensions of ICT learning, from a range of relevant initiatives and programmes. These good practice activities cover: community resource centres providing opportunities for ‘tasting’ ICTs; video games and Internet Cafe´s as tools removing ‘entry barriers’; emphasis on ‘user management’ as a means of creating ownership; service delivery beyond fixed locations; use of ICT capacities in the delivery of general services; and selected use of financial support.

Learning in manufacturing organizations:what factors predict effectiveness?

This paper argues that it is possible to identify factors which pre-dispose organizations to adopt effective learning strategies and processes. It is hypothesized that effective OL is associated with: profitability, environmental uncertainty, structure, approach to HRM and quality orientation. The study focuses on forty-four manufacturing organizations, and draws on longitudinal data gathered through interviews. The findings suggest that two of these variables - approach to HRM and quality orientation - are particularly strongly correlated with measures of OL. It is concluded that effective learning mechanisms, with the potential to improve the quality of OL processes, are more likely to be established in businesses where HRM and quality initiatives are well established.