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international conference on Integration of knowledge Intensive Multi-Agent Systems. KIMAS'03: Modeling, Exploration, and engineering (Cat. No.03EX716)

International Conference on Integration of Knowledge Intensi...

引用

international conference on Integration of knowledge Intensive Multi-Agent Systems (KIMAS)

The following topics are dealt with: intelligent agent; multiagent system; knowledge intensive dynamic system; sapient systems; sensor application; information representation; knowledge extraction; natural language; c... 详细信息

关键词： knowledge based systems Learning systems Signal processing knowledge acquisition Mobile robots natural languages

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Looking for fuzziness in natural language

Looking for fuzziness in natural language

引用

conference of the North American Fuzzy Information processing Society - NAFIPS

作者： J.M. Barone P. Dewan Datatek Applications Inc. Bridgewater NJ USA

While studies of the role of fuzzy logic in natural language certainly exist, it is not clear that the use of fuzzy logic to represent linguistic constructs is anything more than an engineering convenience. This paper suggests that one reason this situation obtains is because fuzzy logic has been used strictly to elucidate static aspects of natural language (particularly aspects of the lexicon). If one examines dynamic features of natural language, on the other hand, new possibilities for connections between fuzzy logic and natural language emerge. In particular, some results from category theory are used to show that fuzzy logic can have a role in explaining certain otherwise rather obscure properties of linguistic comparatives in English.

关键词： natural languages Fuzzy logic Humans Temperature Refrigeration Data engineering Psychology natural language processing Cognition Electrostatic precipitators

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A general approach to natural language conversion

A general approach to natural language conversion

引用

IEEE international conference on Multi Topic

作者： M.A.N. Masud M.M.M. Joarder M. Tariq-ul-Azam Khulna University Khulna Bangladesh Dohatec New Media Dhaka Bangladesh Dohatec New Media Dhaka

natural language processing is a technique that includes both natural language understanding and natural language generation. Translating one natural language into another becomes complex due to structural difference, varieties of meanings, different forms of verbs etc. In this paper, a general algorithm has been developed which takes one natural language (i.e. English, German etc) as input and produces another natural language (i.e. Bengali, Japanese etc.) as output reserving the same expression. For understanding the input natural language, a smart-parse algorithm has been developed which unambiguously and efficiently generates a stack of the parse tree from the existing structure. After parsing, it incorporates itself with the knowledge base and dictionary and finally produces the corresponding targeted natural language. After fixing up the input and output natural language, it is possible to use this algorithm for translation after simple modification.

关键词： natural languages natural language processing Humans Boats Vocabulary Speech Dictionaries

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Automatic syllabification using hierarchical hidden Markov models

Automatic syllabification using hierarchical hidden Markov m...

引用

international conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： P. Nel J. du Preez Digital Signal Processing Group Department of Electrical and Electronic Engineering University of Stellenbosch Stellenbosch South Africa

This paper presents a purely statistical method for the automatic syllabification of speech. A hierarchical HMM structure is used to implement a purely acoustical model based on the phonotactic constraints found in the English language. A well-defined DTW distance measure is presented for measuring and reporting syllabification results. We achieve a token error rate of 20.3 % with a 42 ms average boundary error on a relatively large set of data. This compares well with previous knowledge- and statistically based methods.

关键词： Hidden Markov models Speech natural languages Error analysis Statistical analysis Acoustic measurements Humans Digital signal processing Acoustical engineering Africa

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Semantic n-gram language modeling with the latent maximum entropy principle

Semantic n-gram language modeling with the latent maximum en...

引用

international conference on Acoustics, Speech, and Signal processing (ICASSP)

作者： Shaojun Wang D. Schuurmans Fuchun Peng Yunxin Zhao School of Computer Science University of Waterloo Canada Department of Computer Engineering and Computer Science University of Missouri Columbia USA Department of Computer Engineering and Computer Science University of Missouri at Columbia USA

We describe a unified probabilistic framework for statistical language modeling-the latent maximum entropy principle-which can effectively incorporate various aspects of natural language, such as local word interaction, syntactic structure and semantic document information. Unlike previous work on maximum entropy methods for language modeling, which only allow explicit features to be modeled, our framework also allows relationships over hidden features to be captured, resulting in a more expressive language model. We describe efficient algorithms for marginalization, inference and normalization in our extended models. We then present experimental results for our approach on the Wall Street Journal corpus.

关键词： Entropy natural languages Computer science Inference algorithms Probability Humans Speech recognition Information retrieval Biomedical optical imaging Optical character recognition software

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Rule base combined linguistics knowledge with corpus

Rule base combined linguistics knowledge with corpus

引用

IEEE international conference on Systems, Man and Cybernetics

作者： Ying Liu Chengqing Zong Lab of Computational Linguistics Department of Chinese Language and Literature Tsinghua University Beijing China National Laboratory of Pattem Recognition Institute of Automation Chinese Academy and Sciences Beijing China

ISBN: (纸本)0780379527

This paper proposes a new approach to construction of rule bases for the transferred-based machine translation. In our approach, the rule bases are constructed in combination of the linguistics knowledge and large scale of corpora. On the one hand, the lexical knowledge, the syntactic knowledge and the semantic knowledge are all used in the rules. On the other hand, the knowledge is used for the statistics and self-learning rules. In each rule base, all rules are scored and ranked. Thus, an impersonal choice for the sentence can be made. The preliminary experimental results show that the approach may increase the speed to build the rule base and improve the quality of rules.

关键词： natural languages Tagging Large-scale systems Computational linguistics Statistics Laboratories natural language processing Speech recognition

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ABHIDHA: an extended WordNet for Indo Aryan languages

ABHIDHA: an extended WordNet for Indo Aryan languages

引用

international Workshop on Research Issues in Data engineering

作者： Shireesh Reddy Annam Monojit Choudhury Sudeshna Sarkar Anupam Basu Department of Electrical Engineering Indian Institute of Technology Kanpur INDIA Department of Computer Science & Engineering Indian Institute of Technology Kharagpur INDIA

A lexical knowledge base is an important component of any intelligent information processing system. The WordNet developed at the Cognitive Systems Laboratories at Princeton has served as a lexical reference system for natural language processing activities. The Indian language based activities at our institute mainly in text-to-speech synthesis and natural language generation from iconic inputs require the inclusion of additional features in the lexical reference system like phonology, word roots, and etymological information. Our initial efforts have been in Hindi and Bengali but commonality of Indo Aryan languages and the importance of these extra features lead us to believe that it is a worthwhile effort to build-up a WordNet for other Indo Aryan languages containing these features. In this paper, we speak of the issues relating to the structured design and development of a generalized extended WordNet for Indo Aryan languages with special reference to Hindi and Bengali.

关键词： natural languages Computer science Dictionaries knowledge engineering natural language processing knowledge representation Thesauri Speech Intelligent systems Information processing

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Design of a high speed string matching co-processor for NLP

Design of a high speed string matching co-processor for NLP

引用

international conference on VLSI Design

作者： V.S. Murty P.C. Reghu Raj S. Raman Department of Computer Science and Engineering Indian Institute of Technology Chennai India

In natural language processing applications, string matching is the main time-consuming operation. A dedicated co-processor for string matching that uses memory interleaving and parallel processing techniques can relieve the host CPU from this burden. This paper reports the FPGA design of such a system with m parallel matching units. It has been shown to improve the performance by a factor of nearly m, without increasing the chip area by more than 45% The time complexity of the proposed algorithm is O(log/sub 2/ n), where n is the number of lexical entries. The memory used by the lexicon has been efficiently organized and the space saving achieved is about 67%.

关键词： Coprocessors Computer science Design engineering natural language processing Interleaved codes Hardware Parallel processing Speech processing Hidden Markov models Speech recognition

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Ontology-based Web knowledge management

Ontology-based Web knowledge management

引用

international conference on Information, Communications and Signal processing

作者： Yanmei Wang Zhonghua Yang Pe Hin Hinny Kong Robert Kheng Leng Gay Information Communication Institute of Singapore (ICIS) School of Electrical and Electronic Engineering Nanyang Technological University Singapore

ISBN: (纸本)0780381858

The knowledge management is becoming more and more important in organizations, either over the intranet or Internet. In this paper we present an ontology-based Web knowledge management (KM) framework based on Web ontology language DAML+OIL. This framework supports content-oriented rather than traditionally document-oriented approach to knowledge management. Three fundamental building blocks, i.e., annotations based on ontologies, knowledge-bases based on assertions in ontologies and Web resources crawling, and rule-based reasoning/inference systems for semantic knowledge manipulation. Our approach to knowledge management is the result of our semantic Web research efforts. We adopt the Web-standard based tools in our development of knowledge management. We believe that this approach of annotation-crawling-inference (A-C-I) to knowledge management is flexible and effective in supporting knowledge sharing on the Web. An ongoing prototype is briefly described.

关键词： Ontologies knowledge management Semantic Web Microstrip OWL Prototypes knowledge engineering Internet Standardization Formal languages

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AUTOMATICALLY ACQUIRED DOMAIN knowledge FOR AD HOC SEARCH:EVALUATION RESULTS

AUTOMATICALLY ACQUIRED DOMAIN KNOWLEDGE FOR AD HOC SEARCH:EV...

引用

2003 international conference on natural language processing and knowledge engineering

作者： Udo Kruschwitz Department of Computer Science University of Essex Wivenhoe ParkColchesterCO4 3SQUnited Kingdom

The automatic acquisition of usable domain knowledge is a challenging *** knowledge can be employed to assist a user in searching a document collection. This can be done by suggesting query modification options based on the knowledge uncovered by analyzing the document *** acquire such knowledge by simply exploiting the documents' markup *** gives us a domain model tailored to the particular *** how good is such a model? This paper will present results of two *** first one looks at the actual domain *** will discuss how users judged the relations encoded in the *** second evaluation is task-based and goes a step *** investigates how a search system that applies the automatically constructed domain model performs compared to a standard search system.

关键词： knowledge extraction Evaluation Web search

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