Topic and focus : two structural positions associated with logical functionsin the left periphery of the Hungarian sentence

The paper explicates the notions of topic, contrastive topic, and focus as used in the analysis of Hungarian. Based on distributional criteria, topic and focus are claimed to represent distinct structural positions in the left periphery of the Hungarian sentence, associated with logical rather than discourse functions. The topic is interpreted as the logical subject of predication. The focus is analyzed as a derived main predicate, specifying the referential content of the set denoted by the backgrounded post-focus section of the sentence. The exhaustivity associated with the focus and the existential presupposition associated with the background are shown to be properties following from their specificational predication relation

Intonation of sentences with an NPI

This paper presents the results of a production experiment on the intonation of sentences containing a negative polarity item (NPI) in Tokyo Japanese. The results show that NPI sentences exhibit a focus intonation: the F0-peak of the word to which an NPI is attached is raised, while the pitch contour after the NPI-attached word is compressed until the negation. This intonation pattern is parallel to that of wh-question, in which the F0 of the wh-phrase is raised while the post-wh-contour is compressed until the question particle

Harmonizing CMMI-DEV 1.2 and XP Method to Improve The Software Development Processes in Small Software Development Firms

Most software development organizations are small firms, and they have realized the need to manage and improve their software development and management activities. Traditional Software Process Improvement (SPI) models and standards are not realistic for these firms because of high cost, limited resources and strict project deadlines. Therefore, these firms need a lightweight software development method and an appropriate SPI model to manage and improve their software development and management processes. This study aims to construct a suitable software development process improvement framework for Small Software Development Firms (SSDFs) based on eXtreme Programming (XP) method and Capability Maturity Model Integration for Development Version 1.2 (CMMI-Dev1.2) model. Four stages are involved in developing the framework: (1) aligning XP practices to the specific goals of CMMI-Dev1.2 Key Process Areas (KPAs); (2) developing the proposed software development process improvement framework based on extending XP method by adapting the Extension-Based Approach (EBA), CMMI-Dev1.2, and generic elements of the SPI framework; (3) verifying the compatibility of the proposed framework to the KPAs of CMMI-Dev1.2 by using focus group method coupled with Delphi technique; and (4) validating the modified framework by using CMMI-Dev1.2 questionnaire as a main item to validate the suitability of the modified framework for SSDFs, and conducting two case studies to validate the applicability and effectiveness of this framework for these firms. The result of aligning XP practices to the KPAs of CMMI-Dev1.2 shows that twelve KPAs are largely supported by XP practices, eight KPAs are partially supported by XP practices, and two KPAs are not-supported by XP practices. The main contributions of this study are: software development process improvement framework for SSDFs, elicit better understanding of how to construct the framework, and quality improvement of the software development processes. There are possible avenues for extending this research to fulfil the missing specific practices of several KPAs, examining other agile practices and using CMMI-Dev1.3 to improve the framework, and conducting more case studie

BMICA-independent component analysis based on B-spline mutual information estimator

The information theoretic concept of mutual information provides a general framework to evaluate dependencies between variables. Its estimation however using B-Spline has not been used before in creating an approach for Independent Component Analysis. In this paper we present a B-Spline estimator for mutual information to find the independent components in mixed signals. Tested using electroencephalography (EEG) signals the resulting BMICA (B-Spline Mutual Information Independent Component Analysis) exhibits better performance than the standard Independent Component Analysis algorithms of FastICA, JADE, SOBI and EFICA in similar simulations. BMICA was found to be also more reliable than the 'renown' FastICA