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Software Infrastructure for Natural Language Processing  [PDF]
Hamish Cunningham,Kevin Humphreys,Robert Gaizauskas,Yorick Wilks
Computer Science , 1997,
Abstract: We classify and review current approaches to software infrastructure for research, development and delivery of NLP systems. The task is motivated by a discussion of current trends in the field of NLP and Language Engineering. We describe a system called GATE (a General Architecture for Text Engineering) that provides a software infrastructure on top of which heterogeneous NLP processing modules may be evaluated and refined individually, or may be combined into larger application systems. GATE aims to support both researchers and developers working on component technologies (e.g. parsing, tagging, morphological analysis) and those working on developing end-user applications (e.g. information extraction, text summarisation, document generation, machine translation, and second language learning). GATE promotes reuse of component technology, permits specialisation and collaboration in large-scale projects, and allows for the comparison and evaluation of alternative technologies. The first release of GATE is now available - see http://www.dcs.shef.ac.uk/research/groups/nlp/gate/
A General Architecture for Language Engineering (GATE) - a new approach to Language Engineering R&D  [PDF]
Hamish Cunningham,Robert J. Gaizauskas,Yorick Wilks
Computer Science , 1996,
Abstract: This report argues for the provision of a common software infrastructure for NLP systems. Current trends in Language Engineering research are reviewed as motivation for this infrastructure, and relevant recent work discussed. A freely-available system called GATE is described which builds on this work.
Software-Defined Radio Demonstrators: An Example and Future Trends  [PDF]
Ronan Farrell,Magdalena Sanchez,Gerry Corley
International Journal of Digital Multimedia Broadcasting , 2009, DOI: 10.1155/2009/547650
Abstract: Software-defined radio requires the combination of software-based signal processing and the enabling hardware components. In this paper, we present an overview of the criteria for such platforms and the current state of development and future trends in this area. This paper will also provide details of a high-performance flexible radio platform called the maynooth adaptable radio system (MARS) that was developed to explore the use of software-defined radio concepts in the provision of infrastructure elements in a telecommunications application, such as mobile phone basestations or multimedia broadcasters.
A Critical Approaches to Identification of Disambiguation Words in NLP: Current State of the Art  [PDF]
J. Sreedhar, Dr. S. Viswanadha Raju, Dr. A. Vinaya Babu, Amzan shaik , Dr. P. Pavan Kumar
International Journal of Engineering Trends and Technology , 2012,
Abstract: This paper presents the current state of art in word sense disambiguation in NLP . They offer several specific proposals to the community regarding improved evaluation criteria, common training and testing resources and definition of sense inventories. WSD is a open problem at lexical level of natural language processing. One requires parts of speech tagging and morphological analysis, software and lexical data are not hard to find.
Cloud Computing: System Instances and Current Research

CHEN Kang,ZHENG Wei-Min,

软件学报 , 2009,
Abstract: This paper surveys the current technologies adopted in cloud computing as well as the systems in enterprises. Cloud computing can be viewed from two different aspects. One is about the cloud infrastructure which is the building block for the up layer cloud application. The other is of course the cloud application. This paper focuses on the cloud infrastructure including the systems and current research. Some attractive cloud applications are also discussed. Cloud computing infrastructure has three distinct characteristics. First, the infrastructure is built on top of large scale clusters which contain a large number of cheap PC servers. Second, the applications are co-designed with the fundamental infrastructure that the computing resources can be maximally utilized. Third, the reliability of the whole system is achieved by software building on top of redundant hardware instead of mere hardware. All these technologies are for the two important goals for distributed system: high scalability and high availability. Scalability means that the cloud infrastructure can be expanded to very large scale even to thousands of nodes. Availability means that the services are available even when quite a number of nodes fail. From this paper, readers will capture the current status of cloud computing as well as its future trends.
Trends and Revitalization of Smart-Learning in Elementary and Middle Schools
Duk-Hoi Koo
Asian Journal of Information Technology , 2012, DOI: 10.3923/ajit.2012.160.168
Abstract: Today, the demand for smart-learning is increasing along with the rapid supply of smart devices. Nevertheless, the current plans for revitalizing smart-learning in school education are absolutely insufficient at the national level. Therefore, this research sought to examine the meaning of smart-learning, analyze its trends and search ways of revitalizing smart-learning. The proposed plans for revitalizing smart-learning include infrastructure building, software support and increasing the capacity of human resources. Through concrete discussions based on these measures of revitalizing smart-learning, practical actions for the sake of advancement of school education are highly anticipated.
B Venkata Ramana, Dr.G.Narasimha
International Journal of Computer Engineering & Technology (IJCET) , 2016,
Abstract: Definition - Software Engineering encompasses a process, methods for managing and engineering software and tools. The role of software has undergone significant change over the past half century. From card readers to scanner, from simple equation to artificial intelligence, kilobytes to terabytes, CPU performance from 1 MHz to 6 GHz, 8 bit to 128 bit operating systems. The evolution happened in terms of space, complexity, quality and ease. Legacy applications are attributed with poor quality later with modern applications it’s eradicated. In fact the need for the evolution may even become obvious even before the new system is deployed. With evolving software, the metrics also evolved to measure the quality, not just in terms of documentation but in availability, reliability and robustness of the applications. Process and product measures have been defined to measure the quality of the engineered/developed product. The quality models and industrial standards – Six Sigma, SEI CMMI, ITIL, ISO, PMBOK, Prince2 and other, have changed the estate of software process in the IT world. Each of these help in improving the software development process. In this paper we analyze the metric evolution and the impact it has on software industry. Agile modeling is the current customer sought after model where the metrics are still evolving to suit the customer and market needs.
Social Software for Lifelong Competence Development: Challenges and Infrastructure
Sergej Zerr,Daniel Olmedilla,Wolfgang Nejdl,Elena Demidova
International Journal of Emerging Technologies in Learning (iJET) , 2008,
Abstract: Within the TENCompetence project we aim to develop and integrate models and tools into an open source infrastructure for the creation, storage and exchange of learning objects, suitable knowledge resources as well as learning experiences. This contribution analyzes the potential of social software tools for providing part of the required functionality, as well as some challenges involved.
Virtualizing Lifemapper Software Infrastructure for Biodiversity Expedition  [PDF]
Nadya Williams,Aimee Stewart,Phil Papadopoulos
Computer Science , 2015,
Abstract: One of the activities of the Pacific Rim Applications and Grid Middleware Assembly (PRAGMA) is fostering Virtual Biodiversity Expeditions (VBEs) by bringing domain scientists and cyber infrastructure specialists together as a team. Over the past few years PRAGMA members have been collaborating on virtualizing the Lifemapper software. Virtualization and cloud computing have introduced great flexibility and efficiency into IT projects. Virtualization provides application scalability, maximizes resources utilization, and creates a more efficient, agile, and automated infrastructure. However, there are downsides to the complexity inherent in these environments, including the need for special techniques to deploy cluster hosts, dependence on virtual environments, and challenging application installation, management, and configuration. In this paper, we report on progress of the Lifemapper virtualization framework focused on a reproducible and highly configurable infrastructure capable of fast deployment. A key contribution of this work is describing the practical experience in taking a complex, clustered, domain-specific, data analysis and simulation system and making it available to operate on a variety of system configurations. Uses of this portability range from whole cluster replication to teaching and experimentation on a single laptop. System virtualization is used to practically define and make portable the full application stack, including all of its complex set of supporting software.
Exercises for Children with Dyslalia-Software Infrastructure  [PDF]
Cristian-Eduard Belciug,Ovidiu-Andrei Schipor,Mirela Danubianu
Computer Science , 2014,
Abstract: In order to help children with dyslalia we created a set of software exercises. This set has a unitary software block (data base, programming language, programming philosophy). In this paper we present this software infrastructure with its advantage and disadvantage. The exercises are part of a software system named LOGOMON. Therefore, besides horizontal compatibilities (between exercises) vertical compatibilities are also presented (with LOGOMON system). Concerning database tables used for modulus of exercises, a part of them is "inherited" from LOGOMON application and another are specific for exercises application. We also need to specify that there were necessary minor changes of database tables used by LOGOMON. As programming language we used C#, implemented in Visual Studio 2005. We developed specific interfaces elements and classes. We also used multimedia resources that were necessary for exercises (images, correct pronouncing obtained from speech therapist recording, video clips). Another section of this application is related to loading of exercises on mobile devices (Pocket PC). A part of code has been imported directly, but there were a lot of files that need to be rewritten. Anyway, the multimedia resources were used without any processing.
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