KeyWEn.com  
 
 
 
Natural Language Processing       Article     History   Tree Map
  Encyclopedia of Keywords > Information > Information Technology > Computer Science > Computational Linguistics > Natural Language Processing   Michael Charnine

Keywords and Sections
NATURAL LANGUAGE PROCESSING
COMPUTATIONAL LINGUISTICS
MACHINE LEARNING
LINGUISTIC PROCESSORS
KNOWLEDGE REPRESENTATION LANGUAGE
FAQ LISTS
CONVERSATIONAL AGENTS
STATISTICAL NATURAL LANGUAGE PROCESSING
PROGRAMS
WORDS
UNDERSTANDING
SYSTEM
DESIGN
ANSWERS
DEVELOPMENT
FIELD
RESEARCHERS
REASONING
TECHNIQUES
ADVANCED TECHNIQUES
MACHINES
LANGUAGE
CASE STUDY
DATA MINING
NEURAL NETWORKS
HUMANS
COMPUTERS
CASE-BASED REASONING
PROGRAMMING LANGUAGES
RESEARCH
COMPUTER VISION
PATTERN RECOGNITION
PROGRAMMING LANGUAGE DESIGN
PROCESSING
NATURAL LANGUAGE
NLP
EXPERT SYSTEMS
KNOWLEDGE REPRESENTATION
SEMANTIC WEB
MACHINE TRANSLATION
INFORMATION RETRIEVAL
Review of Short Phrases and Links

    This Review contains major "Natural Language Processing"- related terms, short phrases and links grouped together in the form of Encyclopedia article.

Definitions

  1. Natural language processing (NLP) is a subfield of artificial intelligence and computational linguistics.
  2. Natural language processing (NLP) is applied to data sources to process human language for meaning (semantics) and structure (syntax).
  3. Natural Language Processing (NLP) is both a modern computational technology and a method of investigating and evaluating claims about human language itself.
  4. In natural language processing, an equivalence class is a set of all references to a single person, place, thing, or event, either real or conceptual.
  5. In theory, natural language processing is a very attractive method of human-computer interaction.

Natural Language Processing

  1. Carreras, Xavier - Universitat Politechnica de Catalunya, PhD student, machine learning, natural language processing.
  2. Some straightforward applications of natural language processing include information retrieval (or text mining) and machine translation.
  3. A comprehensive introduction to natural language processing,speech recognition, speech synthesis, computational linguistics, and information retrieval.

Computational Linguistics

  1. Stuttgart - Institute for Natural Language Processing: Research in syntax, semantics, logic, computational linguistics, experimental phonetics.
  2. Research into computational linguistics, natural language processing and language engineering.
  3. New Mexico - Computing Research Laboratory: Papers and other resources in computational linguistics and natural language processing.

Machine Learning

  1. We are active in all major areas of AI, including machine learning, natural language processing, planning, reasoning, robotics, and vision.
  2. PLSA has applications in information retrieval and filtering, natural language processing, machine learning from text, and related areas.
  3. Frasconi, Paolo - Research interests in the area of neural networks, machine learning, bioinformatics, natural language processing.

Linguistic Processors

  1. Development of a new class of the object-oriented linguistic processors, implementing the deep analysis of natural language texts.

Knowledge Representation Language

  1. Len Schubert et al.'s knowledge representation language, for use in natural language processing.

Faq Lists

  1. Selected FAQ lists from Usenet groups related to natural language processing.

Conversational Agents

  1. Natural language processing, spoken dialog systems, conversational agents, affective computing.

Statistical Natural Language Processing

  1. This talk introduces statistical natural language processing (NLP), an exciting field that marries machine learning to computational linguistics.

Programs

  1. NLTK, the Natural Language Toolkit, is a suite of Python libraries and programs for symbolic and statistical natural language processing.

Words

  1. Natural language processing can be aided with the knowledge of typical sentence construction, words that more often than not group together.

Understanding

  1. The definition of "understanding" is one of the major problems in natural language processing.

System

  1. AFGL Project: Affix Grammars over a Finite Lattice - A system of public domain software for natural language processing.

Design

  1. Computational Linguistics is the only publication devoted exclusively to the design and analysis of natural language processing systems.

Answers

  1. Email management, web assistance using natural language processing to automatically generate answers to customer questions.

Development

  1. In the U.S, the concept of logical syntax helped the development of natural language processing and compiler design (the Parrot virtual machine and LLVM).

Field

  1. Michael Carl and Andy Way have done the field of MT and that of natural language processing in general a big favor by producing this collection.
  2. An annotated list of resources in this field and the allied discipline of statistical natural language processing.

Researchers

  1. The book is suitable for researchers and students of natural language processing and computational linguistics.

Reasoning

  1. Studies in this field include problem classification and decomposition, principals of intelligence, reasoning, and natural language processing.

Techniques

  1. CALL for Japanese Writing - Development of computer assisted language learning system for Japanese writing using natural language processing techniques.
  2. The techniques for document clustering generally involve some natural language processing along with a collection of statistical measures.

Advanced Techniques

  1. It requires advanced techniques drawn from machine learning, intelligent information retrieval, and natural language processing.

Machines

  1. Natural language processing[74] gives machines the ability to read and understand the languages human beings speak.

Language

  1. For the field of natural language processing, researchers are concerned with the question of the origin and evolution of language.

Case Study

  1. Transformation-based error-driven learning and natural language processing: A case study in part of speech tagging.

Data Mining

  1. Ph.D. student, Adaptive tutoring, natural language processing, machine learning, data mining.

Neural Networks

  1. Statistical natural language processing, signal processing, neural networks.

Humans

  1. Natural language processing[ 64] gives machines the ability to read and understand the languages that humans speak.
  2. Natural language processing (NLP): Systems that analyze, understand, and generate languages that humans use naturally.

Computers

  1. The comp.ai.nat-lang newsgroup focusses on natural language processing by computers.

Case-Based Reasoning

  1. Empirical methods of natural language processing, case-based reasoning, AI and law, ecological and environmental applications of AI.

Programming Languages

  1. Akinori Yonezawa - University of Tokyo Parallel computation models, programming languages, object-oriented programming, and natural language processing.

Research

  1. Research in artificial intelligence has been primarily based on text- and speech-based interaction, due to the focus on natural language processing.
  2. Research in Natural Language Processing spanned projects in the sub-areas of natural language interpretation and generation.
  3. International professional society dedicated to research throughout the field of natural language processing.

Computer Vision

  1. It combines natural language processing and computer vision to solve problems without any of the preprocessing that is usually done by humans.

Pattern Recognition

  1. These algorithms combine techniques from case-based reasoning, pattern recognition, temporal prediction, and natural language processing.

Programming Language Design

  1. Linguistics is the study of languages, converging with computer science in such areas as programming language design and natural language processing.

Processing

  1. Examples of this are pattern recognition, image processing, neural networks, natural language processing, robotics and game theory.
  2. Data mining, natural language processing, data mining, neural networks, image processing.

Natural Language

  1. For natural language in computer systems, see Natural language processing.

Nlp

  1. Natural language processing (NLP) is a subfield of artificial intelligence and linguistics.
  2. In one aspect, a method to generate at least one new set of concepts to be used to perform natural language processing (NLP) on data is disclosed.
  3. Natural Language Processing(NLP) - Processing and (perhaps) understanding human ("natural") language.

Expert Systems

  1. Learn about genetic algorithms, expert systems, neural networks, and natural language processing.
  2. Research on logic programming, expert systems, neural nets, genetic algorithms, and natural language processing.

Knowledge Representation

  1. Natural language processing, knowledge representation, reasoning and learning.
  2. This includes over 70 megabytes of programs for symbol processing, knowledge representation, problem solving and inference and natural language processing.

Semantic Web

  1. Staab, Steffen - Research topics: semantic web, knowledge management, and natural language processing.
  2. Natural language processing, ontologies, semantic web, web-based distance learning.

Machine Translation

  1. Negative report on machine translation kills much work in Natural language processing (NLP) for many years.
  2. In some machine translation and natural language processing systems, human languages are parsed by computer programs.

Information Retrieval

  1. We also have research interests in applied natural language processing and information retrieval.
  2. CGs have been implemented in a variety of projects for information retrieval, database design, expert systems, and natural language processing.
  3. Examples will include information retrieval, natural language processing, and robot control.

Categories

  1. Information > Information Technology > Computer Science > Computational Linguistics
  2. Information > Information Technology > Computer Science > Artificial Intelligence
  3. Information Technology > Computer Science > Artificial Intelligence > Machine Learning
  4. Information > Information Technology > Computer Science > Information Retrieval
  5. Information Technology > Computer Science > Computational Linguistics > Machine Translation

Subcategories

Machine Translation
  1. Books about "Natural Language Processing" in Amazon.com

Book: Keywen Category Structure


  Short phrases about "Natural Language Processing"
  Originally created: April 22, 2008.
  Please send us comments and questions by this Online Form
  Please click on Move Up to move good phrases up.
0.0223 sec. a=1..