natural language

New representations must be easy to translate to and from natural language.

The holy grail in web search technology is to be able to ask a simple question, in natural language, and get a simple answer.

Its ability to understand natural language makes it a valuable tool in many different applications.

Word Sense Disambiguation (WSD) has always been a difficult and hot points in natural language processing.

This essay will carry out analysis from two stand points: that of the natural language corpus and that of the questionnaire.

As a natural language processing tool, statistical language modeling is proved to be able to process large-scale real text.

Each such document is then subjected to natural language processing to produce a set of logical forms.

In such cases, it might be very difficult to achieve semantic transparency through natural language schema annotations.

The company has now developed Watson, a supercomputer it thinks is capable of understanding "natural language" .

At least one area of experience or knowledge in search, natural language processing, data mining, machine learning, distributed computing.

Statements in natural language plus diagrams of the services the system provides and its operational constraints . Written for customers.

Words may be false and full of arts , sighs are the natural language of the heart.

Natural language to most of the noun phrase as the central common nouns, but common nouns can be added in front of the word limit.

Of course, getting computers to deal with natural language has turned out to be incredibly difficult.

ROGER NORTON: "It was very impressive in a number of ways. One is its ability to understand natural language. "

Facts may take the form of natural language statements or as attributions, relationships, or generalizations within a formal model.

Given the ambiguity of natural language, business policies are often not directly actionable and need interpretation to be enforced.

At the time of the rapid development of technology, the ambiguity problem has become one of the bottlenecks of natural language processing.

All of the confidence for natural language search sort of resided in part.

Another issue is that natural language is often very ambiguous.

As an essential property of natural language, the main function of fuzziness is to make our language colorful and expressive.

So far, however, such natural-language processing has favoured narrow fields like medicine or law where the terminology is limited.

Words my be false and full of arts, sighs are the natural language of the heart.

The mainstream technology of natural language understanding has always been syntax-semantic analysis.

Chinese natural language processing is the core technology in enable computer to understand Chinese.

Unknown word recognition is one of the challenging tasks in natural language processing research.

Anaphora resolution is a key step in Natural Language Processing (NLP) and a kernel task in many language engineering applications.

In a word, PicSeer translates any image of interest into a story coded by a pseudo-natural language.

Word sense disambiguation is one of the difficult problems in natural language processing.

One suggestion is to turn on compression only when the data you're dealing with is large and organized (especially natural language data).

Words in natural language are not isolated but interconnected into a semantic relation network.

Use the xml: lang attribute to declare that the content of the element is in a particular natural language.

In this article, the point of combining formal logic with natural language is proposed.

Parsing is one of the important fundamental tasks of Natural Language Processing(NLP).

Text classification is widely used in natural language process and analyzes, information organization and management and content filer area.

A person has to use imprecise natural language skills to make sense of the annotations, rather than some strict and unambiguous definition.

In many algorithms, the steps are described using a combination of a natural language and mathematical notation.

Firstly, being able to enter the query using natural language is already allowed by Google, so this is not a competitive difference.

Abbreviations are widely used in writing, and the understanding of abbreviations is important for natural language processing applications.

Signs are the natural language of the heart.

Wolfram|Alpha has a search engine-like interface, allowing you to type natural language statements into it.

Finally, a few syntactic patterns are presented for query representation of natural-language spatial relations in GIS.

Word sense tagging is one of the most difficult problem in natural language processing.

The language is neither natural language, nor private language, but public language which can be communicated in the scientific community.

You must specify which are the text fields that you want to run through text analysis (natural language processing).

Natural language logic should be studied on the basis of the interaction of modern logics, modern linguistics and modern rhetorics.

The quantitative research of semantic relation between words is an essential subtask for some natural language processing task.

Verbal communication must be as accurate as possible in using language. But vagueness is a basic feature of natural language.

That is, vagueness is an essential property of any natural language, not an accidental difference between two languages.

Primarily looking at how to use computers to understand and generate natural language.

A natural language sentence can be transformed into a word tag string or a sentence pattern.

The representation and application of semantic knowledge is an important factor for Natural Language Processing (NLP).

A JScript statement, which is equivalent to a complete sentence in a natural language, combines expressions that perform one complete task.

This paper presents an approach of noun clustering and its ideological research in natural language processing systems.

As an inherent characteristic of language, fuzziness refers to indeterminacy of natural language.

Names based on a natural language can suggest meanings by appropriate selection of words, but numeric values do not.

Since they are usually written in a natural language, their syntax and grammar can be difficult to check, at best.

In natural language understanding, the understanding of the adjectives plays a very important role.

The natural language has interiorly -circulating self-explanation, which calls for an established system of common symbols and rules.

The automatic disambiguation of word senses has great theoretical and practical significance in many fields of natural language processing.

Word provides a "natural language" grammar checker that flags possible problems by performing a comprehensive analysis of the text.

Well, some people have thought the way forward must be to somehow automatically understand the natural language that exists on the web.

Named Entity(NE) recognition is an important foundation of Natural Language Processing(NLP) technology.

This paper designs and implements a Topic Detection and Tracking(TDT) system to process the huge number of natural language text on Web.

Natural language understanding is an important branch of artificial intelligence.

NISD includes technologies and products for speech, natural language, advanced search and help, and authoring and learning technologies.

It's an independent natural language, evolved by ordinary people and transmitted culturally from one generation to the next.

Estimating the entropy of natural language is a fundamentally important problem in natural language information processing.

Therefore, the natural language information processing has been unprecedented attention and concern by many researchers at home and abroad.

Abundant geo-spatial information exists in text which is one of the most common carriers of natural language.

Automatic proofreading opens up broad possibilities for the application of natural language processing.

I enjoy translating writing that has a good sense of natural language.

Bilingual Corpus alignment of natural language processing is an important research topic.

Enhanced maximum matching method and similar string is brought forward to realize the natural language retrieval of teaching resources.

It is much easier and natural to express the billing policies in a more natural language than this notation.

Natural language can be divided into scientific language and artistic language.

A fuzzy query is a query whose predicate contains a fuzzy term to represent the natural language and thought of humans.

The output of natural language processing is another XML file format called Mining Markup Language (MIML), as shown in Figure 3.

As ambiguity is so common, probabilistic parsing is very significant to syntactic processing and natural language processing.

He's also working on a system that uses machine learning and natural-language processing to evaluate the validity of incoming data.

A useful technique is to introduce a topic that quickly involves the speaker, and stimulates a natural language style.

Express decision rules with increased precision, using a natural language business vocabulary syntax.

Far less ambiguous than natural language, UML enhances communication and reduces interpretation errors.

CIP aims to be a natural language processing suit of Chinese.

So the new emphasis that's going on with schema, how schema relates to natural language is a very important software area.

Question answering is the next generation of search engine which is related to natural language processing, information retrieval and etc.

Using natural language to communicate with computer is the dream of human beings, and it has very important practical significance.

The chunk parsing is a language processing strategy which recently appears in the natural language processing research area.

Semantic analysis plays an important role in natural language processing field and recently becomes a research hot spot and critical issue.

Of course, phrased in a natural language way like this, there is a lot of leeway.

Generally speaking, the simplest, most natural configurations are most difficult to support because natural language is simply too organic.

Automatic Term Extraction is an important issue in Natural Language Processing.

Japanese syntactic analysis is the kernel content in natural language processing and machine translation.

The act of enabling a computer to recognize utterances of a natural language.

Business policies can be expressed with natural language which can be ambiguous.

As the text goes through natural language processing, rules and dictionaries are applied.

Most requirements are written in a natural language (French, English, etc. ).

Time expression has quite a lot of useful applications within natural language processing.

Since, natural language is highly diversified, new words, e. g. , cloud computing, and new phrases are created constantly.

It supports natural language processing like word stem reduction and tokenization in multiple languages.

We have made the ultimate faux pas of putting hyphens into what should be natural language commands .

Senior language closer to natural language, it does not rely on machines, the common good.

The purpose of intelligent GIS is to realize the natural language interaction between GIS and users.

As rapid progress of information technology people hope to intercourse with computer in natural language as human use.

The code pages on natural language support in Solaris may be different from those in Linux, or they could just be named differently.

In general this guideline means that information tokens that are not natural language go in attributes.

General grammar: a system fo linguistic knowledge which consists of some general principles and parameters about natural language.

It is a premise to finish many tasks of Natural Language Processing, and its accuracy has a direct effect on many NLP tasks.

Align bilingual corpus is a natural language processing important research subject.

Copy detection includes the two categories: the plagiarism of source code and the plagiarism of natural language.

Another difficulty of intercultural dialogue lies in the untranslatability of one natural language-in-use into another.

Nishino Fumihito , born in 1956. Master of engineering . His main research fields are machine translation and natural language processing .

These controls produce natural language as output, rather than attempting to accept natural language as input, for database queries.

Modern logics should be used on natural language analysis, to provide an effective tool for people's thinking and communication.

The prevalence of vague terms in natural language poses two intriguing and interrelated challenges.

Natural language understanding is a complex and great project of which content's deepness and span is not imaginable.

The parallel corpora, as a kind of corpora, is widely used in the field of Computational Linguistics and Natural Language Processing.

Morphological analysis is the foundation task for most natural language processing.

Natural Language Understanding nearly began together with the birth of computers.

Ability to communicate across team borders is limited by the ambiguity of natural language.

In the field of Natural Language Processing, one important way of acquiring semantic information is Semantic Role labelling (SRL).

Yu Hao , born in 1971 . Doctor of engineering. His main research fields: natural language processing and network information processing .

Natural language spatial relations play an important role in route descriptions, which are related to psychology and cognitive linguistics.

It is an intrinsic property of natural language as well as human thinking.

The researchers first developed a method for recording natural language using the electronically activated recorder (EAR).

Network public opinion information mining is closely related to the Natural Language Processing (NLP) technology.

Coreference resolution plays an important role in natural language processing.

Instead, we have the rudimentary systems of structured natural language commands.

In natural language processing, syntactic analysis is the analysis of deep processing.

In his study he mainly adopts the Western method of semantic analysis of natural language.

More often than not, modeling concepts were explained using imprecise and natural language.

This method can be applied to natural language processing, such as automated essay scoring system, coherence m. . .

The domain specific language is more structured and is easier to make quick edits and changes in than the natural language.

Person deictic words can be found in every natural language.

The Content-Langauge header, which specifies the natural language or languages of the accompanying body data.

This course is a graduate introduction to natural language processing - the study of human language from a computational perspective.

More recently, academics in natural-language processing have embraced the topic.

Experiments proved that the interface fully supports the semantics reasoning based on natural language, and has higher accuracy.

A segmentation algorithm without dictionary based on network-oriented natural language question answering system is proposed.

It is not, however, a matter of the problem being cast in natural language.

Meng Yao , born in 1970. Doctor of engineering . Her main research fields: natural language parsing and machine translation .

Is Watson, despite its limitations, nonetheless a precursor to a HAL-esque machine that can "mimic" natural language, if not "reproduce" it?

The English language. The whole world speaks English, but then English is the natural language of the human being.

In recent years, natural language processing is focusing on the semantic role labeling.

A short project evoking the natural language of electronic objects, speaking among themselves.

The Content-Langauge header, which specifies the natural language of the accompanying body data.

Analysts might specify the intended policies as comments in natural language.

It needs the technologies of natural language processing to realize a hot topic mining system.

Ambiguity is generally exists in natural language phenomenon.

Construction of bilingual vocabulary is a foundation work for the field of natural language processing.

Like all putative natural language processing by computer, your mileage may vary.

Chinese chunking plays an important role in natural language processing.

But, for the most part, processing natural language remains a challenge.

Text-based searcher agents usually have some kind of natural language processing built in and, in some cases, latent semantic indexing.

Loads the IDE and sets the default natural language for the environment.

English is the natural language of the human being.

Localizing an application includes translating all of the natural language elements that a user will potentially see.

Retrieves the operating system's natural language setting.

Chinese Word Segmentation CWS is the basic problem of natural language processing.

In natural language, it encapsulates the simple string response "Chris Englesmann" .

The multi-document summarization technology is becoming a research focus in the field of natural language processing.

It demands the retrieval system developed has the ability of analysis and understand about the natural language.

This does not render the notion ofinformal logic vacuous, because no formal logic captures all of thenuance of natural language.

A criticism of this guideline is that the requirement to use names forces a choice of natural language.

WwW. zIdiR. coM Vague language is an essential property of natural language existing extensively in various aspects of human life.

But if one's already made knowledge computable, one doesn't need to do that kind of natural language understanding.

A high-level language is a language, which is closer to natural language, or mathematical language than machine code or assembly language.

To enable the natural language processing, you have to specify the text language in the dictionary lookup operator.

However, there is also a growing unease about the advances in natural language understanding that are being heralded in systems like Watson.

Currently most natural language processing systems are based on syntactic and semantic theories of human language.

The way humans normally communicate is through natural language.

I showed you how to use an RDF-based WordNet database to add some natural language power to application-specific search engines.

Fuzziness is the common feature of man's natural language. It is reflected in four aspects.

This wraps up my three-part discussion of how to use the WordNet natural language semantic database in XML and RDF applications.

A final point regarding the difficulty in defining governance: The natural language use of the term "governance" can get in the way.

Word Segmentation is a fundamental problem of the Chinese Natural Language Processing.

According to this feature, many researchers divide the teacher talk into'instructional language'and'natural language'.

The goal of this work was to study natural language patterns 'to understand the process of how a child learns language, ' says Dr. Roy.

In natural language, Listing 1 encapsulates the question "Which professional snowboarder endorses the K2 FatBob? "

Provides instructions to hardware based on natural-language questions or commands.

By being a natural language under tension, the language of science is inherently8 poetic.

Zhou Liquan was the first scholar in China initiating the researches on natural language.

It is important to draw a distinction between natural language processing (NLP) and specific n-gram grammars.

And finally in 2008, Microsoft's Natural Language Processing group spoke openly about their research project BLEWS.

We report experiments on song lyrics based on natural language processing techniques.

The method based on knowledge should be adopted in the natural language understanding in the field of mechanical product design.

Informal logic is the study of natural language arguments.

Conceptually, this is not unlike the way you would intuitively describe a pattern in a natural language.

And for example we're still very far away from having computers systematically understand large volumes of natural language text on the web.

Using the computer to realize fuzzy control, it is convenient for people to adopt the natural language to exert one "s influence on plant. "

If we need to describe additional constraints for the model objects, these are often described in a natural language.

You should use plain and natural language when you write a personal letter.

This poem pristine natural language, but the idea is very clever.

Finding base noun phrase is very important in the field of natural language processing.

One alternative is to use natural language processing, where a user can key in his request in English.

The third line supports l10n by establishing the location of DTDs that contain natural language strings.

Instead of programming these robots in English, a natural language for us, we program them in a special programming language.

The ideal query language is a natural language , such as English.

It relates to many domains, such as the natural language technology, computational linguistics, and so on.

We've published a lot of papers about what we're doing in natural language.

Take AI's natural language understanding of a phrase such as "I want to drop off my car. "

There are four keys that will start to open the students mind to English as a natural language.

The question of presupposition to the logic of natural language

Formal logic; Natural language logic; Semantic; Pragmatic; Implicature; Presupposition; Communication; Rhetoric;

They also think people are more used to using more natural language patterns on their phones. [Emphasis added. ]

question answering; question classification; support vector machines; subset tree kernel; machine learning; natural language processing;

The Speech and Natural Language Processing Technique Used in a Software System for the Blinds

Knowledge Base Construction for Natural Language Understanding and its Implications for Linguistic Studies

Natural Language; Word Segmentation algorithm; Syntax analysis; Semantic understanding; Expressway Network;

A limited form of natural language may be used to express requirements

Therefore, that restricted natural language program is to comply with the rules of grammar, compiled by the design parser in the paper;

Identification and analysis of natural language by the best way of superior partition-misty match

Verbots combine natural language, artificial intelligence, and real-time animation with voice synthesis to create engaging virtual. Verbots

It would have dealing with people's natural language capabilities, to achieve human-machine dialogue;

Name Entity Recognition; Natural Language Processing; Maximum Entropy; Expert Knowledge;

Natural Language Processing and Research of Its Application Prospects

Looking Ahead: Analyzing Your Own Data, More Knowledge Domains, Programming with Natural Language Queries

Design and Implementation of a Small Business Rule Management System Based on Constrained Chinese Natural Language

Natural-language processors, which attempt to read and understand a Web page's content in order to generate data

Applications of natural language processing techniques to bioinformatics

natural language processing lab , northeastern university , china

Natural Language Searching versus Controlled Vocabulary Searching

Support Vector Machine and Its Application in Natural Language Processing

Design and realization of intelligent question-answering system supporting natural language

Formalizing the Natural-language Descriptions about the Spatial Relations between Linear Geographic Objects

Linear Interpolated Methods in Statistical Natural Language Processing

vocabulary expert system shell vision system natural language system neural network system robotics

An Analysis of the Proposition of Material Implication and the Relevant Implication in Natural Language

The Arithmetic Realization of the Grammatical Analysis Device of the Natural Language

Morphological Analysis of Uighur Noun for Natural Language Information Processing

Realization of Intelligent Answer System Supporting Natural Language

Guest Editors'Introduction: Recent Advances in Natural Language Processing

A Framework for the Natural Language Request Processing in Information Retrieval

Application of Natural Language Processing in Information Retrieve by Search Engineer

Study and Design of Distributed Artificial Intelligence in Natural Language Interface

Foundations of Statistical Natural Language Processing

Natural Language Understanding Semantic Neural Network

The Pivotal Issues and Implementation of Natural Language Information Retrieval

Application of Spatial Information Natural Language Query Interface

Formalization of Natural Language Understanding

Research for natural language based intelligent question answering system

Design and Development of A Natural Language Understanding System

Application of Natural Language Processing in Retrieval System of Pharmaceutical Patent Abstracts

Discussions on several basic problems of comprehension about natural language of computer

Morphological Analysis in Chinese Natural Language Retrieval

Asian Federation of Natural Language Processing Associations

International Conference on Natural Language Processing ICON

Features of Natural Language Input and Their Enlightenment on Foreign Language Teaching

Combination of Information Retrieval Language and Natural Language

Research on Natural Language Interface for Helicopter Fault Diagnosis Expert System