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| | Natural language processing - Wikipedia, the free encyclopedia |
 | | The grammar for natural languages is ambiguous, i.e. | | | Natural language processing (NLP) is a subfield of artificial intelligence and linguistics. | | | Natural language generation systems convert information from computer databases into normal-sounding human language, and natural language understanding systems convert samples of human language into more formal representations that are easier for computer programs to manipulate. |
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http://en.wikipedia.org/wiki/Natural_language_processing
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| | NLP, Sheffield - home |
| | Natural Language Processing (NLP) is the use of computers to process written and spoken language for some practical, useful, purpose: to translate languages, to get information from the web on text data banks so as to answer questions, to carry on conversations with machines, so as to get advice about, say, pensions and so on. | | | The Natural Language Processing Research Group is within the Department of Computer Science at the University of Sheffield. | | | We see NLP as the main way of using and coping with the world wide web, which means bringing intelligent machines and knowledge, including all scientific knowledge, into contact with people through conversation technology, as well as being a principal contributor to the future of electronic games and entertainment. |
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http://nlp.shef.ac.uk
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| | Natural Language Processing |
| | It's ironic that natural language, the symbol system that is easiest for humans to learn and use, is hardest for a computer to master. | | | The goal of the Natural Language Processing (NLP) group is to design and build software that will analyze, understand, and generate languages that humans use naturally, so that eventually you will be able to address your computer as though you were addressing another person. | | | Amalgam is a novel system developed in the Natural Language Processing group at Microsoft Research for sentence realization during natural language generation that employs machine learning techniques. |
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http://research.microsoft.com/nlp
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| | An Introduction to NLP |
| | The idea of using digital computers in NLP is 'old', possibly because one of the first uses of computers was in breaking military codes in the second world war. | | | 'Natural language processing' (NLP) is a convenient description for all attempts to use computers to process natural language. | | | 'Artificial Language Processing', in the form of compilers and interpreters for programming languages, was a key component in the success of digital computers from their earliest days. |
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http://www.cs.bham.ac.uk/~pxc/nlpa/2002/AI-HO-IntroNLP.html
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| | IT-Director.com: Natural Language Processing |
| | The big disadvantage of natural language processing is that you have to have a separate version of the product for each language and, where appropriate, for each dialect of a language. | | | Using natural language processing, on the other hand, you can summarise documents so that you get a précis of each document, which is considerably more useful. | | | The bottom line is that natural language processing makes considerably more sense in any document intensive environment, given always that it supports the languages you require. |
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http://www.it-director.com/article.php?id=3704
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| | The Natural Language Processing Dictionary |
| | The process is as follows with context free grammars: pick a non-terminal X in the current string (or sentential form) and a grammar rule whose left-hand side is that non-terminal X. Replace X in the current string by the right-hand side of the grammar rule, to obtain a new current string. | | | The process is similar with context-sensitive grammarsand unrestricted grammars, except that instead of picking a non-terminal X in the current string, we find a substring of the current string that matches the left-hand side of some context-sensitive or unrestricted grammar rule, and replace it with the right-hand side of that grammar rule. | | | The language generated by a grammar is the set of all sentences that can be derived from the start symbol S of the grammar using the grammar rules. |
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http://www.cse.unsw.edu.au/~billw/nlpdict.html
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| | Natural Language Processing Lab home page |
| | Along with the Center for Speech and Language Processing, the members of the NLP Lab are committed to finding novel and efficient computational methods that rival human performance in natural language competency tasks. | | | In conjuction with the Center for Speech and Language Processing, the members of the NLP Lab are committed to finding novel and efficient computational methods that rival human performance in natural language competency tasks. | | | Effective natural language interfaces will be an enabling technology for the mass exploitation of the benefits of computing. |
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http://nlp.cs.jhu.edu/nlp
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| | News Indexed by Topic - NATURAL LANGUAGE |
| | Language Weaver Inc. was founded in 2002 by two USC computer scientists who developed methods to teach computers to translate by force-feeding them huge volumes of text. | | | Natural Language Processing: Natural language processing research encompasses the long-term goal of giving computers the ability to understand language and shorter-term projects aimed at building tools that interpret and/or generate natural language for specific tasks. | | | August 6, 2005: Computers learn a new language. |
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http://www.aaai.org/AITopics/newstopics/nlp.html
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| | CS674: Natural Language Processing |
| | Speech and Language Processing, by Daniel Jurafksy and James Martin. | | | The Computation and Language E-Print Archive is a handy repository for NLP papers. | | | An empirical study of smoothing techniques for language modeling Proceedings of the 34th Meeting of the Association for Computational Linguistics, pp 310--318. |
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http://www.cs.cornell.edu/courses/cs674/2002SP
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| | NLP modul |
| | To have an understanding of the methods used in natural language processing (NLP) and their relation with computer science | | | To examine the difficulties involved with the processing of language (ambiguity) | | | To have an understanding of standard methods of morphological and syntactic analysis of natural language |
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http://personalpages.manchester.ac.uk/staff/G.Nenadic/Salford_NLP.htm
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| | [No title] |
| | Language research in Computing is also known as Natural Language Processing, Computational Linguistics, Language Engineering, Language Informatics. | | | Central to our research is the computational modelling of language data; a corpus is a text dataset representative of the language to be analysed. | | | Research facilities in the School of Computing include a dedicated, high speed network infrastructure, and a wide range of corpora, machine-readable dictionaries, and software tools for corpus management, language analysis, machine learning, and software development. |
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http://www.comp.leeds.ac.uk/eric/nlp
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| | CS 224N / Ling 237 |
| | Word-level, syntactic, and semantic processing from both a linguistic and an algorithmic perspective are considered. | | | It develops an in-depth understanding of both the algorithms available for the processing of linguistic information and the underlying computational properties of natural languages. | | | The focus is on modern quantitative techniques in NLP: using large corpora, statistical models for acquisition, disambiguation, and parsing. |
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http://www.stanford.edu/class/cs224n
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| | Natural Language Processing: Curry Guinn |
| | AMAT integrates spoken language processing, virtual reality, multimedia and instructional technologies to train and assist the turret mechanic in diagnosing and maintenance on the M1A1 Abrams Tank in a hands-busy, eyes-busy environment. | | | Two key technologies that can help reduce the burden on instructors and increase the efficiency and independence of trainees are virtual reality simulators and natural language processing. | | | Using statistically-based semantic classification, the system applies these rules to new articles from the database for automatically building semantic networks. |
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http://www.cs.duke.edu/~cig/interests/nlp.html
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| | ISI's Natural Language Group |
| | Our faculty and staff are devoted to natural language processing research, with interests in statistical and symbolic models of language processing, parsing, ontology, creation by text mining, machine translation, natural language generation, text summarization, dialogue, discourse, question answering, and other topics: | | | USC/ICT's MRE Project is building large-scale virtual reality simulations that include virtual humans with realistic behaviors, and effective natural language communication between users and virtual humans provides challenging research problems. | | | Graduate students in the natural language group at USC/ISI are enrolled in a number of programs. |
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http://www.isi.edu/natural-language/nlp-at-isi.html
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| | C661: Natural Language Processing |
| | Speech processing, machine translation, and computational approaches to language acquisition and language evolution are also given some attention. | | | The second component of the course deals with statistical and connectionist approaches to language processing, which, despite their very different origins and motivation, share many underlying mechanisms as well as a lack of built-in linguistic knowledge. | | | This course provides an introduction to the field of natural language processing (or computational linguistics), including both analysis and generation. |
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http://www.cs.indiana.edu/classes/c661/home.html
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| | Natural Language Processing (NLP) at Cornell |
| | Coreference is a key task in a number of NLP applications and is often cited as one of the most difficult problems in NLP owing to its reliance on sophisticated world knowledge. | | | In contrast to most existing coreference resolution algorithms that employ hand-crafted heuristics and filters, we are interested in applying both supervised and unsupervised machine learning techniques to the construction of robust and portable coreference systems. | | | We are developing methods for generating user-trainable information extraction systems-NLP systems that take as input an unrestricted text and "summarize" the text with respect to a prespecified topic or domain of interest. |
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http://www.cs.cornell.edu/Info/Projects/NLP
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| | IBM Research Research Areas Natural Language Processing |
| | This project deals with natural language analysis and translation by computer. | | | Furthermore, our work addresses theoretical issues of computational linguistics and encompasses a wide range of application areas such as speech processing, machine translation, question answering, interactive dialogue systems, text mining and information extraction, natural language understanding and generation, information retrieval, and automatic text summarization. | | | In the Statistical Machine Translation project we are exploring new algorithms to improve the quality of machine translation by exploiting large parallel corpora consisting of sentence pairs that are translations of each other to build a statistical translation model between the two languages. |
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http://www.research.ibm.com/compsci/spotlight/nlp
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| | Q4.1: NLP References and Books |
| | The book describes the most current research developments in natural language generation and all aspects of the generation process are discussed. | | | Emphasis on parsing, especially unification-based parsing, lots of details on the lexicon, feature propagation, etc. Fair coverage of semantic interpretation, inference in natural language processing, and pragmatics; much less extensive than in Allen's book, but more formal. | | | Klaus K. Obermeier, Natural Language Processing Technologies in Artificial Intelligence: The Science and Industry Perspective, Ellis Horwood Ltd, John Wiley & Sons, Chichester, England, 1989. |
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http://svr-www.eng.cam.ac.uk/comp.speech/Section4/Q4.1.html
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| | Natural Language Procesing at Penn |
| | Natural language processing has a long history at Penn; this page gives pointers to current faculty, students, and projects in the CIS department. | | | Language and Information in Computation - LINC Lab |
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http://www.cis.upenn.edu/~linc/home.html
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| | Natural Language Processing Laboratory |
| | The Natural Language Processing Laboratory is no longer active in the areas of sentence analysis, discourse analysis, corpus-driven text comprehension or information extraction. |
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http://www-nlp.cs.umass.edu
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| | GSLT: Natural Language Processing (Level 1) |
| | The course is aimed both at students with limited knowledge of the field, for whom it is compulsory within GSLT, and at students with a more extensive background in natural language processing, who will be expected to take more active part in the discussion of current research. | | | A theoretical discussion of current research problems in the form of a chat session (or email discussion), based on the reading of recent articles and with an introduction by the respective teacher sent in advance by e-mail. | | | The aim of this course is to give a research-oriented overview of natural language processing focusing on the following two questions: |
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http://www.ling.su.se/dali/education/courses/ngslt_nlp05
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| | Natural Language Toolkit |
| | students who are learning NLP (natural language processing) or conducting research in NLP or closely related areas, including empirical linguistics, cognitive science, artificial intelligence, information retrieval, and machine learning. | | | Visit OpenNLP, the organizational center for open source projects related to natural language processing. | | | This release contains minor bug-fixes, efficiency improvements, additions to the tutorials, Kimmo morphological analyzer, improved Shoebox support, stopwords and names corpora. |
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http://nltk.sourceforge.net
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| | CSM305: Introduction to Natural Language Processing |
| | This course aims to provide a self-contained introduction to the central issues of Natural Language Processing (NLP), to introduce various practical skills associated with the design and implementation of NLP systems, and to prepare students intending to follow the two-unit advanced course CS405: Advanced Topics in Natural Language Processing. | | | Michael A. Covington, Natural Language Processing for Prolog Programmers, Englewood Cliffs:Prentice Hall, 1994. | | | Pereira and Shieber Prolog and Natural Language Analysis |
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http://www.cs.um.edu.mt/~mros/cs305
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| | Natural Language Processing |
| | Among the issues to be discussed are syntactic processing, semantic interpretation, discourse processing, knowledge representation, and machine learning. | | | This course examines a wide range of issues concerning computer systems that can process human languages. | | | We'll be making some use of the NL Toolkit - a suite a python modules and applications for doing natural language processing. |
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http://www.cs.colorado.edu/~martin/csci5832.html
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| | Columbia Natural Language Processing Group |
| | Newsblaster, Columbia News Tracking and Summarizing tool, provides automatically generated summaries of the main news articles every day. | | | To read about our group and our research interests, you can see the Overview. | | | In Tools you will find downloadable packages developed by our group. |
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http://www.cs.columbia.edu/nlp
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| | natural language processing application - definition of natural language processing application by the Free Online ... |
| | disambiguator - (computer science) a natural language processing application that tries to determine the intended meaning of a word or phrase by examining the linguistic context in which it is used | | | application program, applications programme, application - a program that gives a computer instructions that provide the user with tools to accomplish a task; "he has tried several different word processing applications" | | | natural language processing application - an application program that deals with natural language text |
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http://www.thefreedictionary.com/natural+language+processing+application
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| | Natural Language Processing Lab |
| | Most projects in this lab involve the application of Natural Language Processing (a branch of Artificial Intelligence) to the development of more effective augmentative communication systems. | | | Finally, the ICICLE project looks at providing English writing assistance for American Sign Language natives. | | | Last modified: Fri Oct 23 14:10:51 EDT 1998 |
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http://www.asel.udel.edu/natlang/nlp/nlp.html
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