Robust Parsing of Spoken Dialogue Using Contextual Knowledge and Recognition Probabilities

In this paper we describe the linguistic processor of a spoken dialogue system. The parser receives a word graph from the recognition module as its input. Its task is to find the best path through the graph. If no complete solution can be found, a robust mechanism for selecting multiple partial results is applied. We show how the information content rate of the results can be improved if the selection is based on an integrated quality score combining word recognition scores and context-dependent semantic predictions. Results of parsing word graphs with and without predictions are reported.Comment: 4 pages, LaTex source, 3 PostScript figures, uses epsf.sty and ETRW.sty, to appear in Proceedings of ESCA Workshop on Spoken Dialogue Systems, Denmark, May 30-June

Voice technology and BBN

The following research was discussed: (1) speech signal processing; (2) automatic speech recognition; (3) continuous speech understanding; (4) speaker recognition; (5) speech compression; (6) subjective and objective evaluation of speech communication system; (7) measurement of the intelligibility and quality of speech when degraded by noise or other masking stimuli; (8) speech synthesis; (9) instructional aids for second-language learning and for training of the deaf; and (10) investigation of speech correlates of psychological stress. Experimental psychology, control systems, and human factors engineering, which are often relevant to the proper design and operation of speech systems are described

Preface

DAMSS-2018 is the jubilee 10th international workshop on data analysis methods for software systems, organized in Druskininkai, Lithuania, at the end of the year. The same place and the same time every year. Ten years passed from the first workshop. History of the workshop starts from 2009 with 16 presentations. The idea of such workshop came up at the Institute of Mathematics and Informatics. Lithuanian Academy of Sciences and the Lithuanian Computer Society supported this idea. This idea got approval both in the Lithuanian research community and abroad. The number of this year presentations is 81. The number of registered participants is 113 from 13 countries. In 2010, the Institute of Mathematics and Informatics became a member of Vilnius University, the largest university of Lithuania. In 2017, the institute changes its name into the Institute of Data Science and Digital Technologies. This name reflects recent activities of the institute. The renewed institute has eight research groups: Cognitive Computing, Image and Signal Analysis, Cyber-Social Systems Engineering, Statistics and Probability, Global Optimization, Intelligent Technologies, Education Systems, Blockchain Technologies. The main goal of the workshop is to introduce the research undertaken at Lithuanian and foreign universities in the fields of data science and software engineering. Annual organization of the workshop allows the fast interchanging of new ideas among the research community. Even 11 companies supported the workshop this year. This means that the topics of the workshop are actual for business, too. Topics of the workshop cover big data, bioinformatics, data science, blockchain technologies, deep learning, digital technologies, high-performance computing, visualization methods for multidimensional data, machine learning, medical informatics, ontological engineering, optimization in data science, business rules, and software engineering. Seeking to facilitate relations between science and business, a special session and panel discussion is organized this year about topical business problems that may be solved together with the research community. This book gives an overview of all presentations of DAMSS-2018.DAMSS-2018 is the jubilee 10th international workshop on data analysis methods for software systems, organized in Druskininkai, Lithuania, at the end of the year. The same place and the same time every year. Ten years passed from the first workshop. History of the workshop starts from 2009 with 16 presentations. The idea of such workshop came up at the Institute of Mathematics and Informatics. Lithuanian Academy of Sciences and the Lithuanian Computer Society supported this idea. This idea got approval both in the Lithuanian research community and abroad. The number of this year presentations is 81. The number of registered participants is 113 from 13 countries. In 2010, the Institute of Mathematics and Informatics became a member of Vilnius University, the largest university of Lithuania. In 2017, the institute changes its name into the Institute of Data Science and Digital Technologies. This name reflects recent activities of the institute. The renewed institute has eight research groups: Cognitive Computing, Image and Signal Analysis, Cyber-Social Systems Engineering, Statistics and Probability, Global Optimization, Intelligent Technologies, Education Systems, Blockchain Technologies. The main goal of the workshop is to introduce the research undertaken at Lithuanian and foreign universities in the fields of data science and software engineering. Annual organization of the workshop allows the fast interchanging of new ideas among the research community. Even 11 companies supported the workshop this year. This means that the topics of the workshop are actual for business, too. Topics of the workshop cover big data, bioinformatics, data science, blockchain technologies, deep learning, digital technologies, high-performance computing, visualization methods for multidimensional data, machine learning, medical informatics, ontological engineering, optimization in data science, business rules, and software engineering. Seeking to facilitate relations between science and business, a special session and panel discussion is organized this year about topical business problems that may be solved together with the research community. This book gives an overview of all presentations of DAMSS-2018

The Law and Economics of Antidiscrimination Law

This essay provides an overview of the central theoretical law and economics insights concerning antidiscrimination law across a variety of contexts including discrimination in labor markets, housing markets, consumer purchases, and policing. The different models of discrimination based on animus, statistical discrimination, and cartel exploitation are analyzed for both race and sex discrimination. I explore the theoretical arguments for prohibiting private discriminatory conduct and illustrates the tensions that exist between concerns for liberty and equality. I also discuss the critical point that one cannot automatically attribute observed disparities in various economic or social outcomes to discrimination, and illustrate the complexities in establishing the existence of discrimination. The major empirical findings showing the effectiveness of federal law in the first decade after passage of the 1964 Civil Rights Act are contrasted with the generally less optimistic findings from subsequent antidiscrimination interventions.

Microfinance as Business

We analyze microfinance institutions (MFIs) as businesses, asking how some succeed in covering costs, earning returns, attracting capital, and scaling up. We draw on existing literature and interviews with industry players and academics. Key microfinance business challenges include building volume, keeping loan repayment rates high, retaining customers, and minimizing scope for fraud. Since the 1970s, microfinance innovators have developed clever solutions to these problems. Some have built huge organizations that serve thousands or millions of clients and have demonstrated an impressive capacity for change—in countries, to boot, with weak infrastructure and human capital. The individual innovations have spread both through a Darwinian process of selection and through cultural diffu-sion. We examine three kinds of determinants of commercial success: product design, management, and environmental factors such as regulation. We conclude that much about how microfinance is de-livered can be understood as responses to business imperatives. Indeed, the discoveries of techniques for cost-effective microfinance delivery are the real genius of microfinance, rather than the "discovery" that the poor can repay that dominates its public image. But by Occam's razor (simpler explanations are more plausible), the power of commercial imperatives to explain so many product design choices weakens an alternative explanation for them, namely that they are made primarily to help clients. These doubts point up the need for more rigorous impact evaluations of microfinance.microfinance

SPARC 2018 Internationalisation and collaboration : Salford postgraduate annual research conference book of abstracts

Welcome to the Book of Abstracts for the 2018 SPARC conference. This year we not only celebrate the work of our PGRs but also the launch of our Doctoral School, which makes this year’s conference extra special. Once again we have received a tremendous contribution from our postgraduate research community; with over 100 presenters, the conference truly showcases a vibrant PGR community at Salford. These abstracts provide a taster of the research strengths of their works, and provide delegates with a reference point for networking and initiating critical debate. With such wide-ranging topics being showcased, we encourage you to take up this great opportunity to engage with researchers working in different subject areas from your own. To meet global challenges, high impact research inevitably requires interdisciplinary collaboration. This is recognised by all major research funders. Therefore engaging with the work of others and forging collaborations across subject areas is an essential skill for the next generation of researchers

A characterization of the problem of new, out-of-vocabulary words in continuous-speech recognition and understanding

Thesis (Ph. D.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1995.Includes bibliographical references (p. 167-173).by Irvine Lee Hetherington.Ph.D

English Universities: Managerial Movement from Academic Collegial Administration to Corporate Managerialism (1960-2013)

The aim of the research in this MA by Research thesis has been to shed light on the development of the notion of “management” and its associated “sociometrics” at UK universities. The research looked at the transformation of university operating strategies in England and Wales, with the objective of capturing the various managerial movements from a traditional collegial administrative operating system to a more diverse entrepreneurial model more aligned with contemporary corporate management beliefs. 8 diverse universities were selected for the case-study to provide “colour and contrast” – namely, Oxford and Cambridge as “Ancient” universities, Cardiff and Royal Holloway as “19th Century-Founded” universities, Birmingham to cover the “Red Brick” category, Lancaster to spotlight the so-called “Plate-Glass” universities, Hertfordshire to embrace the “Post-Polytechnic” universities and Open University to include the “E-University” category. The methodology utilized was a triangulated middle-ground approach to examine qualitatively and quantitatively the universities websites, strategic documents, government committee reports, regulations and financial performance information that reflected surplus/deficit results as outcomes for the targeted group. The lessons learned from this investigation showed that these universities modus operandi and performance reflected an ongoing trend of transformation imposed by continuous government regulatory change requirements on the one hand, and most likely also, the changing sector climate in the higher education community in England and Wales. The findings from the research indicate that scholastic writings and the literature have extensively chronicled the movement from ‘collegial’ administration to academic entrepreneurialism. However, it appears to be an open question as to whether a common corporate strategic wording language had emerged by 2002: though it had basically, by 2012. In both 2002 and 2012 a recognizable core of sociometric wording language was discernible. And finally some slender evidence was uncovered that indicates where substantial effort was put out by the universities in strategic planning, better financial results accrued. Significant contributions to overall knowledge have been uncovered as a result of this thesis research. The movement by UK universities from ‘academic collegial administration’ to academic entrepreneurialism’ has been verified by multiple academic writings. UK universities have developed a measurable increase in the use of common ‘strategic sociometric wording’ and a greatly increased the use of strategic management and corporatised-wording in their published literature. And lastly, some modest evidence supports a finding that better financial results do appear to have emanated where considerable strategic planning effort was put out