'British national corpus' presentation slideshows

CS 388: Natural Language Processing: Part-Of-Speech Tagging, Sequence Labeling, and Hidden Markov Models (HMMs)

CS 388: Natural Language Processing: Part-Of-Speech Tagging, Sequence Labeling, and Hidden Markov Models (HMMs). Raymond J. Mooney University of Texas at Austin. 1. Part Of Speech Tagging. Annotate each word in a sentence with a part-of-speech marker. Lowest level of syntactic analysis.

1.85k views • 128 slides

LANGUAGE CHANGE AND VARIATION IN ENGLISH (Chapter 1, pp. 21-62)

LANGUAGE CHANGE AND VARIATION IN ENGLISH (Chapter 1, pp. 21-62). MAIN TOPICS Concepts of change and variation: how and why Attitudes to language: standard and non-standard varieties The main phases in the history of English

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A Brief History of the Penn Treebank

A Brief History of the Penn Treebank. Mitch Marcus. For those who know nothing about the Treebank. VP. have. been. VP. expecting. SBAR. VP. NP. NP. NP. in. NP. the US car maker. an eventual 30% stake. a GM-Jaguar pact. the British company. WHNP -1. give. that.

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Statistical NLP Winter 2009

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618 views • 39 slides

Word Prediction

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478 views • 38 slides

Language Investigation for A2

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The application of corpus analysis and concordance feedback to collegiate EFL writing

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The application of corpus analysis and concordance feedback to collegiate EFL writing

612 views • 35 slides

Corpus

Corpus. Corpus. What is a corpus? A collection of naturally occurring language text, chosen to characterize a state or variety of a language. John Sinclair, Corpus, Concordance, Collocation, OUP, 1991 Balanced corpus

929 views • 34 slides

EGI federated Cloud, developing a Production Quality Federated Cloud Infrastructure

EGI federated Cloud, developing a Production Quality Federated Cloud Infrastructure. Dr David Wallom Chair EGI Federated Cloud Task Force Associate Director, Oxford eResearch Centre, University of Oxford david.wallom@oerc.ox.ac.uk. Outline. EGI, new c hallenges and c loud c omputing.

521 views • 33 slides

RECOGNISING NOMINALISATIONS

1.19k views • 25 slides

Prepositional Phrase Attachment Problem

Prepositional Phrase Attachment Problem. 03M05601 Ashish Almeida. Overview. Introduction to NLP Analysis in UNL system Prepositional phrase attachment problem Proposed method to handle this problem. Motivation. Analysis involves many complex problems

734 views • 25 slides

Corpus Exploitation f rom Wikipedia f or Ontology Construction

Corpus Exploitation f rom Wikipedia f or Ontology Construction. Gaoying Cui, Qin Lu, Wenjie Li, Yirong Chen The Department of Computing The Hong Kong Polytechnic University. Outline. Introduction Related Work s Algorithm design Classification Tree Traversal

502 views • 22 slides

Harnessing Corpora for real and virtual ELT purposes

Harnessing Corpora for real and virtual ELT purposes. IFELT Belinda Maia FLUP 10/11.2003. What is a corpus?. CORPUS - 13c: from Latin corpus body - plural corpora )

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Automatic Metaphor Interpretation as a Paraphrasing Task

Automatic Metaphor Interpretation as a Paraphrasing Task. Ekaterina Shutova Computer Lab, University of Cambridge NAACL 2010. Outline. What is metaphor The idea and overview of the system Experimental data Method Evaluation Conclusion. Metaphor in this paper.

359 views • 19 slides

LINGUA 1

LINGUA 1. Mock exam . Change and variation in English What is Old English and what are its most important characteristics ? (about 100 words ).

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Text Searching, Analysis, & Generation COMP 200 & COMP 130

258 views • 8 slides