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  Encyclopedia of Keywords > Information Technology > Computer Science > Artificial Intelligence > Machine Learning > Natural Language   Michael Charnine

Keywords and Sections
BEST SYSTEMS
STATISTICAL MACHINE TRANSLATION
HAND
NOTION
VERBS
KEYWORDS
FIELD
VIRTUALLY
PROOF
SYSTEMS
INFINITE
BODY LANGUAGE
RESEARCH
LANGUAGE LEARNING
JAVANESE LANGUAGE
ZEALAND SIGN LANGUAGE
ELIZA
QUINE
NATURAL LANGUAGES
NATURAL LANGUAGE QUERY
NATURAL LANGUAGE DATA
NATURAL LANGUAGE TEXTS
MATHEMATICS
FORMAL LOGIC
GENERALIZED QUANTIFIERS
KNOWLEDGE REPRESENTATION LANGUAGE
WORD SENSE DISAMBIGUATION
NATURAL LANGUAGE UNDERSTANDING SYSTEM
MONTAGUE GRAMMAR
FORMAL DESCRIPTIONS
SPOKEN DIALOG SYSTEMS
NATURAL LANGUAGE INTERPRETATION
STATISTICAL NATURAL LANGUAGE PROCESSING
NATURAL LANGUAGE GENERATION
COMPUTATIONAL LINGUISTICS
MACHINE TRANSLATION
NATURAL LANGUAGE UNDERSTANDING
CONCEPT
COLLECTION
NATURAL PHENOMENA
NATURE
STUDENTS
COMPUTER
PROPERTIES
SECTION
THING
Review of Short Phrases and Links

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

Definitions

  1. Natural language is a natural mode of communication for humans. (Web site)
  2. A natural language is typically used for communication, and may be spoken, signed, or written.
  3. Natural language is a very rich a powerful communication medium.
  4. Natural language is a system of occasion sentences, eternal sentences being merely boundary cases. (Web site)
  5. Natural language is distinguished from constructed languages.[3][4] Linguistics encompasses a number of sub-fields.

Best Systems

  1. The best systems for machine translation of natural language are based on statistical models learned from data. (Web site)

Statistical Machine Translation

  1. Statistical machine translation (SMT) treats the translation of natural language as a machine learning problem. (Web site)

Hand

  1. On the one hand it is a positive aspect that it is possible to represent paradoxes, which can be formulated in natural language. (Web site)
  2. On the other hand, the SOT topology provides the natural language for the generalization of the spectral theorem to infinite dimensions.

Notion

  1. We propose a context-dependent view on the notion of "meaning" and advocate the need for case-based reasoning research and natural language processing. (Web site)

Verbs

  1. They have also showed up in grammatical and vector space models of natural language to for example encode meaning of verbs and logical connectives. (Web site)

Keywords

  1. Guide metadata is used to help humans find specific items and is usually expressed as a set of keywords in a natural language.

Field

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

Virtually

  1. The basic bipartite division possible for virtually every natural language is that of nouns vs. (Web site)
  2. As a crucial preprocessing step, morphological analysis is used in virtually all fields of natural language processing. (Web site)

Proof

  1. No natural language has it, nor is there any proof that any natural language ever did.

Systems

  1. Today systems are available that allow the user to formulate his questions in natural language.

Infinite

  1. Some linguists go so far as to claim that the set of grammatical sentences of any natural language is indeed infinite.

Body Language

  1. BL (body language) - is the counterpart and companion of NL or natural language.

Research

  1. International professional society dedicated to research throughout the field of natural language processing.

Language Learning

  1. A chapter studies the role of affective variables on language learning, while another investigates natural language and lexical creativity.

Javanese Language

  1. For the natural language from the Indonesian island of Java, see Javanese language. (Web site)

Zealand Sign Language

  1. In New Zealand the signs used with Makaton are from New Zealand Sign Language (NZSL) - the natural language of the deaf community in New Zealand.

Eliza

  1. Joseph Weizenbaum invented ELIZA more or less as an intellectual exercise to show that natural language processing could be done.

Quine

  1. Each natural language tends to rely on its own conceptual metaphor structure, and so tends to have its own core ontology (according to W. V. Quine). (Web site)

Natural Languages

  1. Although there are a variety of natural languages, any cognitively normal human infant is able to learn any natural language. (Web site)

Natural Language Query

  1. The use of natural language query in this product was a significant step in making computers more user-friendly. (Web site)

Natural Language Data

  1. The more we strive for rigour in theory, the harder it may become to decide exactly how the theory relates to natural language data. (Web site)

Natural Language Texts

  1. KOMET - A text generation system producing connected, natural language texts in multiple languages.

Mathematics

  1. This was possible because mathematics was done using natural language. (Web site)

Formal Logic

  1. This does not render the notion of informal logic vacuous, because no formal logic captures all of the nuance of natural language. (Web site)

Generalized Quantifiers

  1. Generalized quantifiers and natural language. (Web site)

Knowledge Representation Language

  1. It is a knowledge representation language that aims to be as expressive as most natural language.
  2. Len Schubert et al.'s knowledge representation language, for use in natural language processing.

Word Sense Disambiguation

  1. Given the heavy ambiguity of natural language, word sense disambiguation is essential to understanding.

Natural Language Understanding System

  1. WordsEye - a Natural Language Understanding system that converts English text into three-dimensional scenes that represent that text.

Montague Grammar

  1. Type theory is also widely in use in theories of semantics of natural language, especially Montague grammar and its descendants. (Web site)

Formal Descriptions

  1. Philosophical logic Philosophical logic deals with formal descriptions of natural language.

Spoken Dialog Systems

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

Natural Language Interpretation

  1. Research in Natural Language Processing spanned projects in the sub-areas of natural language interpretation and generation. (Web site)

Statistical Natural Language Processing

  1. Statistical natural language processing, signal processing, neural networks.
  2. NLTK, the Natural Language Toolkit, is a suite of Python libraries and programs for symbolic and statistical natural language processing.
  3. An annotated list of resources in this field and the allied discipline of statistical natural language processing.

Natural Language Generation

  1. Rehabilitation engineering, writing tool for American Sign Language, natural language generation, text summarization, graph summarization.
  2. Choosing the best lexeme to realize a meaning in natural language generation is a hard task.

Computational Linguistics

  1. The creation of natural language texts has always been a bit of ``poor cousin'' in the field of Computational Linguistics.
  2. This talk introduces statistical natural language processing (NLP), an exciting field that marries machine learning to computational linguistics.
  3. Computational linguistics is the study of natural language from a computational perspective.

Machine Translation

  1. Machine translation, computer-assisted translation, and natural language processing are fruitful areas which have also come to the forefront in recent years. (Web site)
  2. In some machine translation and natural language processing systems, human languages are parsed by computer programs.
  3. Other applications include spelling correction, natural language generation, and machine translation. (Web site)

Natural Language Understanding

  1. However, ELIZA's technique of responding to keyword-matching demonstrated the plausibility of natural language understanding by computers.

Concept

  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). (Web site)

Collection

  1. Agreement in Natural Language is a collection of fifteen papaers on the topic of grammatical agreement.
  2. 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. (Web site)

Natural Phenomena

  1. The results of this review indicate that networks generated from natural language have topological properties common to other natural phenomena.

Nature

  1. Ever since Antiquity, this perspective has been prevalent in linguistics, or -broadly- theories on the nature of natural language.
  2. Natural language processing allows software to determine the nature of queries and responses.

Students

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

Computer

  1. These are sytems with which a user can interact with the computer in natural language, i.e., he uses a form of communication familiar to him.
  2. Text generation, Natural language, Artificial intelligence, Computer generated test.
  3. CALL for Japanese Writing - Development of computer assisted language learning system for Japanese writing using natural language processing techniques. (Web site)

Properties

  1. Valuable resource for both students and professional researchers investigating the properties of meaning, reference, and context in natural language.

Section

  1. It has been suggested that natural language understanding be merged into this article or section.
  2. Bayesian tools are important for research including diagnostics, machine learning, and natural language understanding (see Chapter 5 and Section 9.3).
  3. Section 2 deals with the logical properties of natural language. (Web site)

Thing

  1. 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.
  2. One thing that has always been indisputable is that it is an objective reality observed in every natural language. (Web site)

Categories

  1. Information Technology > Computer Science > Artificial Intelligence > Machine Learning
  2. Languages > Language > Grammar > Semantics
  3. Encyclopedia of Keywords > Information > Science > Linguistics
  4. Ambiguity
  5. Communication > Translation > Translation Memory > Parallel Texts

Subcategories

Parallel Corpora

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      Short phrases about "Natural Language"
      Originally created: November 25, 2007.
      Links checked: January 07, 2013.
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