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This collection of scholarly articles asks the question "How useful is translation technology?" Pointing to the need for a widely used and reliable way to test the efficiency of language translation programs, the presenters show that commercial tools such as translation memories and translation workbenches are popular, and their developers find them useful in terms of productivity, consistency, or quality. However, these claims are rarely proven using objective comparative studies, and this group describes several new statistical approaches to more rigorous evaluation methods.
Translating and interpreting --- Machine translating. --- Technological innovations.
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This volume provides a selection of the papers which were presented at the eleventh conference on Computational Linguistics in the Netherlands (Tilburg, 2000). It gives an accurate and up-to-date picture of the lively scene of computational linguistics in the Netherlands and Flanders. The volume covers the whole range from theoretical to applied research and development, and is hence of interest to both academia and industry. The target audience consists of students and scholars of computational linguistics, and speech and language processing (Linguistics, Computer Science, Electrical Engineering).
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This book constitutes the refereed proceedings of the joint conference on Machine Learning and Knowledge Discovery in Databases: ECML PKDD 2008, held in Antwerp, Belgium, in September 2008. The 100 papers presented in two volumes, together with 5 invited talks, were carefully reviewed and selected from 521 submissions. In addition to the regular papers the volume contains 14 abstracts of papers appearing in full version in the Machine Learning Journal and the Knowledge Discovery and Databases Journal of Springer. The conference intends to provide an international forum for the discussion of the latest high quality research results in all areas related to machine learning and knowledge discovery in databases. The topics addressed are application of machine learning and data mining methods to real-world problems, particularly exploratory research that describes novel learning and mining tasks and applications requiring non-standard techniques.
Information Technology --- Artificial Intelligence --- Data mining --- Database searching --- Machine learning --- Artificial intelligence. --- Database management. --- Information storage and retrieva. --- Computer science. --- Computer software. --- Artificial Intelligence. --- Database Management. --- Information Storage and Retrieval. --- Mathematical Logic and Formal Languages. --- Algorithm Analysis and Problem Complexity. --- Probability and Statistics in Computer Science. --- Informatics --- Science --- Software, Computer --- Computer systems --- Data base management --- Data services (Database management) --- Database management services --- DBMS (Computer science) --- Generalized data management systems --- Services, Database management --- Systems, Database management --- Systems, Generalized database management --- Electronic data processing --- AI (Artificial intelligence) --- Artificial thinking --- Electronic brains --- Intellectronics --- Intelligence, Artificial --- Intelligent machines --- Machine intelligence --- Thinking, Artificial --- Bionics --- Cognitive science --- Digital computer simulation --- Logic machines --- Machine theory --- Self-organizing systems --- Simulation methods --- Fifth generation computers --- Neural computers --- Information storage and retrieval systems. --- Automatic data storage --- Automatic information retrieval --- Automation in documentation --- Computer-based information systems --- Data processing systems --- Data storage and retrieval systems --- Discovery systems, Information --- Information discovery systems --- Information processing systems --- Information retrieval systems --- Machine data storage and retrieval --- Mechanized information storage and retrieval systems --- Electronic information resources --- Data libraries --- Digital libraries --- Information organization --- Information retrieval --- Information storage and retrieval. --- Mathematical logic. --- Algorithms. --- Mathematical statistics. --- Mathematics --- Statistical inference --- Statistics, Mathematical --- Statistics --- Probabilities --- Sampling (Statistics) --- Algorism --- Algebra --- Arithmetic --- Algebra of logic --- Logic, Universal --- Mathematical logic --- Symbolic and mathematical logic --- Symbolic logic --- Algebra, Abstract --- Metamathematics --- Set theory --- Syllogism --- Statistical methods --- Foundations --- Data mining. --- Algorithmic knowledge discovery --- Factual data analysis --- KDD (Information retrieval) --- Knowledge discovery in data --- Knowledge discovery in databases --- Mining, Data
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Data mining --- Machine learning --- 681.3*F22 <063> --- 681.3*F41 <063> --- 681.3*G3 <063> --- 681.3*H3 <063> --- 681.3*H33 <063> --- 681.3*I23 <063> --- 681.3*I53 <063> --- 681.3*I7 <063> --- 681.3*J1 <063> --- 681.3*I23 <063> Deduction and theorem proving: answer/reason extraction; reasoning; resolution; metatheory; mathematical induction; logic programming (Artificial intelligence)--Congressen --- Deduction and theorem proving: answer/reason extraction; reasoning; resolution; metatheory; mathematical induction; logic programming (Artificial intelligence)--Congressen --- Nonnumerical algorithms and problems: complexity of proof procedures; computations on discrete structures; geometrical problems and computations; pattern matching --See also {?681.3*E2-5}; {681.3*G2}; {?681.3*H2-3}--Congressen --- Mathematical logic: computability theory; computational logic; lambda calculus; logic programming; mechanical theorem proving; model theory; proof theory;recursive function theory--See also {681.3*F11}; {681.3*I22}; {681.3*I23}--Congressen --- Probability and statistics: probabilistic algorithms (including Monte Carlo);random number generation; statistical computing; statistical software (Mathematics of computing)--Congressen --- Information storage and retrieval--Congressen --- Information search and retrieval: clustering; query formulation; retrieval models; search process; selection process--Congressen --- Clustering: algorithms; similarity measures (Pattern recognition)--Congressen --- Text processing (Computing methodologies)--See also {681.3*H4}--Congressen --- Administrative data processing (Computer applications)--Cursussen. Instructies. Onderwijs--Congressen --- Information systems --- Artificial intelligence. Robotics. Simulation. Graphics --- 681.3*H2 <063> --- 681.3*H28 <063> --- 681.3*I2 <063> --- 681.3*I2 <063> Artificial intelligence. AI--Congressen --- Artificial intelligence. AI--Congressen --- Database management: security; integrity; protection--See also {?681.5*E5}--Congressen --- Database applications--Congressen
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Memory-based language processing - a machine learning and problem solving method for language technology - is based on the idea that the direct reuse of examples using analogical reasoning is more suited for solving language processing problems than the application of rules extracted from those examples. This book discusses the theory and practice of memory-based language processing, showing its comparative strengths over alternative methods of language modelling. Language is complex, with few generalizations, many sub-regularities and exceptions, and the advantage of memory-based language processing is that it does not abstract away from this valuable low-frequency information. By applying the model to a range of benchmark problems, the authors show that for linguistic areas ranging from phonology to semantics, it produces excellent results. They also describe TiMBL, a software package for memory-based language processing. The first comprehensive overview of the approach, this book will be invaluable for computational linguists, psycholinguists and language engineers.
Artificial intelligence. Robotics. Simulation. Graphics --- Mathematical linguistics --- Computational linguistics --- Learning, Psychology of --- Natural language processing (Computer science) --- 800:311 --- 800:311 Kwantitatieve linguistiek. Computerlinguistiek --- Kwantitatieve linguistiek. Computerlinguistiek --- NLP (Computer science) --- Artificial intelligence --- Electronic data processing --- Human-computer interaction --- Semantic computing --- Learning --- Psychology of learning --- Educational psychology --- Comprehension --- Learning ability --- Automatic language processing --- Language and languages --- Language data processing --- Linguistics --- Natural language processing (Linguistics) --- Applied linguistics --- Cross-language information retrieval --- Multilingual computing --- Psychological aspects --- Data processing --- Human-computer interaction. --- Computer-human interaction --- Human factors in computing systems --- Interaction, Human-computer --- Human engineering --- User-centered system design --- User interfaces (Computer systems) --- Computational linguistics. --- Learning, Psychology of. --- Computerlinguïstiek. --- Linguïstiek en gegevensverwerking. --- Natural language processing. --- Natuurlijke taalverwerking. --- Taaltechnologie. --- Arts and Humanities --- Language & Linguistics
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