Xem 1-20 trên 1980 kết quả Modeling languages
  • Bài giảng Giới thiệu UML (Unified Modeling Language) do Trương Vĩnh Hảo thực hiện nhằm giúp các bạn hiểu rõ hơn về khái niệm UML; lịch sử phát triển của UML; khung nhìn của UML; lược đồ của UML 2.0; hệ thống POS; hệ thống Library. Với các bạn chuyên ngành Công nghệ thông tin thì đây là tài liệu hữu ích.

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  • This book is intended to be a complete and useful reference to the Unified Model- ing Language (UML) for the developer, architect, project manager, system engi- neer, programmer, analyst, contracting officer, customer, and anyone else who needs to specify, design, build, or understand complex software systems. It pro- vides a full reference to the concepts and constructs of UML, including their se- mantics, syntax, notation, and purpose. It is organized to be a convenient but thorough reference for the working professional developer.

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  • Since it’s standardization by the OMG (Object Management Group) in November 1997, the Unified Modeling Language (UML) has had a tremendous impact on how software systems are developed. The role of modeling in specifying and documenting complex software systems is being accepted, and an industrial approach to software engineering is on its way to becoming reality.

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  • Tham khảo bài thuyết trình 'uml (unified modeling language', khoa học tự nhiên, công nghệ môi trường phục vụ nhu cầu học tập, nghiên cứu và làm việc hiệu quả

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  • We describe a simple variant of the interpolated Markov model with non-emitting state transitions and prove that it is strictly more powerful than any Markov model. Empirical results demonstrate that the non-emitting model outperforms the interpolated model on the Brown corpus and on the Wall Street Journal under a wide range of experimental conditions. The nonemitting model is also much less prone to overtraining. The remainder of our article consists of four sections.

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  • A basic problem that must be dealt with in order to build an intelligent tutoring system (ITS) in the domain of foreign language teaching is that of establishing what kind of grammatical knowledge has to be included in the domain expert module. Two basic options are possible: (i) to use a naive or pedagogical grammar, comprising knowledge derived from textbooks and school grammars or (ii) to use one of the formal grammars developed by theoretical and computational linguists.

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  • This paper reports the on-going research of a thesis project investigating a computational model of early language acquisition. The model discovers word-like units from crossmodal input data and builds continuously evolving internal representations within a cognitive model of memory. Current cognitive theories suggest that young infants employ general statistical mechanisms that exploit the statistical regularities within their environment to acquire language skills.

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  • Object-Oriented Design includes the waterfall model; useful texts; the importance of modeling; the unified modeling language; notation classes, interface, collaboration & use case, active class, component & node, b & states, grouping and annotation, relationships; diagrams in UML; the hello world example.

     

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  • For a natural language access to database system to be practical it must achieve a good match between the capabilities of the user and the requirements of the task. The user brings his own natural language and his own style of interaction to the system. The task brings the questions that must be answered and the database domaln+s semantics. All natural language access systems achieve some degree of success. But to make progress as a field, we need to be able to evaluate the degree of this success. For too long, the best we have menaged has been to...

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  • Collocational knowledge is necessary for language generation. The problem is that collocations come in a large variety of forms. They can involve two, three or more words, these words can be of different syntactic categories and they can be involved in more or less rigid ways. This leads to two main difficulties: collocational knowledge has to be acquired and it must be represented flexibly so that it can be used for language generation. We address both problems in this paper, focusing on the acquisition problem. We describe a program, X t r a c t , that automatically acquires...

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  • We describe an implementation integrating a spoken dialogue system with a mobile robot, which the user can direct to specific locations, ask for information about its status, and supply information about its environment. The robot uses an internal map for navigation, and communicates its current orientation and accessible locations to the dialogue system using a topological map as interface. processing, language modelling, language understanding and dialogue management have been implemented. 2.1 Speech Recognition Nuance's speaker-independent speech recognition system (www.. nuance . ...

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  • In recent years tree kernels have been proposed for the automatic learning of natural language applications. Unfortunately, they show (a) an inherent super linear complexity and (b) a lower accuracy than traditional attribute/value methods. In this paper, we show that tree kernels are very helpful in the processing of natural language as (a) we provide a simple algorithm to compute tree kernels in linear average running time and (b) our study on the classification properties of diverse tree kernels show that kernel combinations always improve the traditional methods. ...

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  • We compare the phenomena of clausal coordinate ellipsis in Estonian, a Finno-Ugric language, and German, an Indo-European language. The rules underlying these phenomena appear to be remarkably similar. Thus, the software module ELLEIPO, which was originally developed to generate clausal coordinate ellipsis in German and Dutch, works for Estonian as well. In order to extend ELLEIPO’s coverage to Estonian, we only had to adapt the lexicon and some syntax rules unrelated to coordination.

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  • A major focus of current work in distributional models of semantics is to construct phrase representations compositionally from word representations. However, the syntactic contexts which are modelled are usually severely limited, a fact which is reflected in the lexical-level WSD-like evaluation methods used.

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  • Transition-based dependency parsers are often forced to make attachment decisions at a point when only partial information about the relevant graph configuration is available. In this paper, we describe a model that takes into account complete structures as they become available to rescore the elements of a beam, combining the advantages of transition-based and graph-based approaches. We also propose an efficient implementation that allows for the use of sophisticated features and show that the completion model leads to a substantial increase in accuracy.

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  • We extend the original entity-based coherence model (Barzilay and Lapata, 2008) by learning from more fine-grained coherence preferences in training data. We associate multiple ranks with the set of permutations originating from the same source document, as opposed to the original pairwise rankings. We also study the effect of the permutations used in training, and the effect of the coreference component used in entity extraction.

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  • We present experiments with part-ofspeech tagging for Bulgarian, a Slavic language with rich inflectional and derivational morphology. Unlike most previous work, which has used a small number of grammatical categories, we work with 680 morpho-syntactic tags. We combine a large morphological lexicon with prior linguistic knowledge and guided learning from a POS-annotated corpus, achieving accuracy of 97.98%, which is a significant improvement over the state-of-the-art for Bulgarian.

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  • Machine learning has become the dominant approach to building natural-language processing systems. However, current approaches generally require a great deal of laboriously constructed humanannotated training data. Ideally, a computer would be able to acquire language like a child by being exposed to linguistic input in the context of a relevant but ambiguous perceptual environment.

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  • This paper demonstrates a novel distributed architecture to facilitate the acquisition of Language Resources. We build a factory that automates the stages involved in the acquisition, production, updating and maintenance of these resources. The factory is designed as a platform where functionalities are deployed as web services, which can be combined in complex acquisition chains using workflows. We show a case study, which acquires a Translation Memory for a given pair of languages and a domain using web services for crawling, sentence alignment and conversion to TMX. ...

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  • In this work I address the challenge of augmenting n-gram language models according to prior linguistic intuitions. I argue that the family of hierarchical Pitman-Yor language models is an attractive vehicle through which to address the problem, and demonstrate the approach by proposing a model for German compounds. In an empirical evaluation, the model outperforms the Kneser-Ney model in terms of perplexity, and achieves preliminary improvements in English-German translation.

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