CLAWS (linguistics)
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CLAWS (linguistics)
The Constituent Likelihood Automatic Word-tagging System (CLAWS) is a program that performs part-of-speech tagging. It was developed in the 1980s at Lancaster University by the University Centre for Computer Corpus Research on Language. It has an overall accuracy rate of 96-97% with the latest version (CLAWS4) tagging around 100 million words of the British National Corpus. History A Part-Of-Speech Tagger (POS Tagger) is a piece of software that reads text in some language and assigns parts of speech to each word (and other token), such as noun, verb, adjective, etc., although generally computational applications use more fine-grained POS tags like 'noun-plural'. Developed in the early 1980s, CLAWS was built to fill the ever-growing gap created by always-changing POS necessities. Originally created to add part-of-speech tags to the LOB corpus of British English, the CLAWS tagset has since been adapted to other languages as well, including Urdu and Arabic. Since its inception, CLA ...
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Part-of-speech Tagging
In corpus linguistics, part-of-speech tagging (POS tagging or PoS tagging or POST), also called grammatical tagging is the process of marking up a word in a text (corpus) as corresponding to a particular part of speech, based on both its definition and its context. A simplified form of this is commonly taught to school-age children, in the identification of words as nouns, verbs, adjectives, adverbs, etc. Once performed by hand, POS tagging is now done in the context of computational linguistics, using algorithms which associate discrete terms, as well as hidden parts of speech, by a set of descriptive tags. POS-tagging algorithms fall into two distinctive groups: rule-based and stochastic. E. Brill's tagger, one of the first and most widely used English POS-taggers, employs rule-based algorithms. Principle Part-of-speech tagging is harder than just having a list of words and their parts of speech, because some words can represent more than one part of speech at different times, ...
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Lancaster University
Lancaster University (legally The University of Lancaster) is a public university, public research university in Lancaster, Lancashire, Lancaster, Lancashire, England. The university was established in 1964 by royal charter, as one of several plate glass university, new universities created in the 1960s. The university was initially based in St Leonard's Gate in the city centre, before starting a move in 1967 to a purpose-built campus at Bailrigg, to the south. The campus buildings are arranged around a central walkway known as the Spine, which is connected to a central plaza, named Alexandra Square in honour of its first chancellor (education), chancellor, Princess Alexandra, The Honourable Lady Ogilvy, Princess Alexandra. Lancaster is a Colleges within universities in the United Kingdom, residential collegiate university; the colleges are weakly autonomous. The eight undergraduate colleges are named after places in the Historic counties of England, historic county of Lancashi ...
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British National Corpus
The British National Corpus (BNC) is a 100-million-word text corpus of samples of written and spoken English from a wide range of sources. The corpus covers British English of the late 20th century from a wide variety of genres, with the intention that it be a representative sample of spoken and written British English of that time. It is used in corpus linguistic for analysis of corpora History The project to create the BNC involved the collaboration of three publishers (with the Oxford University Press as the lead collaborator, Longman and W. & R. Chambers), two universities (the University of Oxford and Lancaster University), and the British Library. The creation of the BNC started in 1991 under the management of the BNC consortium, and the project was finished by 1994. There have been no additions of new samples after 1994, but the BNC underwent slight revisions before the release of the second edition BNC World (2001) and the third edition BNC XML Edition (2007).
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Lancaster-Oslo-Bergen Corpus
The Lancaster-Oslo/Bergen (LOB) Corpus is a million-word collection of British English texts which was compiled in the 1970s in collaboration between the University of Lancaster, the University of Oslo, and the Norwegian Computing Centre for the Humanities, Bergen, to provide a British counterpart to the Brown Corpus compiled by Henry Kučera and W. Nelson Francis for American English in the 1960s. Its composition was designed to match the original Brown corpus in terms of its size and genres as closely as possible using documents published in the UK by British authors. Both corpora consist of 500 samples each comprising about 2000 words in the following genres: The corpus has been also tagged Tagged may refer to: * Tagged (website), a social discovery website * Tagged (web series), an American teen psychological thriller web series {{disambiguation ..., i.e. part-of-speech categories have been assigned to every word. External links LOB Corpus ManualLOB Corpus from the Oxf ...
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Hidden Markov Model
A hidden Markov model (HMM) is a statistical Markov model in which the system being modeled is assumed to be a Markov process — call it X — with unobservable ("''hidden''") states. As part of the definition, HMM requires that there be an observable process Y whose outcomes are "influenced" by the outcomes of X in a known way. Since X cannot be observed directly, the goal is to learn about X by observing Y. HMM has an additional requirement that the outcome of Y at time t=t_0 must be "influenced" exclusively by the outcome of X at t=t_0 and that the outcomes of X and Y at t handwriting recognition, handwriting, gesture recognition, part-of-speech tagging, musical score following, partial discharges and bioinformatics. Definition Let X_n and Y_n be discrete-time stochastic processes and n\geq 1. The pair (X_n,Y_n) is a ''hidden Markov model'' if * X_n is a Markov process whose behavior is not directly observable ("hidden"); * \operatorname\bigl(Y_n \i ...
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