'Linguistic analysis' presentation slideshows

Lectures I. Overview 2. Simulation Semantics 3. ECG and Best-fit Analysis 4. Compositionality 5. Simulation, Count

Analyzer :. Discourse & Situational Context. Lectures I. Overview 2. Simulation Semantics 3. ECG and Best-fit Analysis 4. Compositionality 5. Simulation, Counterfactuals, and Inference . Constructions. Utterance. incremental, competition-based, psychologically plausible A.

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Linguistics 362: Introduction to Natural Language Processing

Linguistics 362: Introduction to Natural Language Processing . Markus Dickinson Linguistics @georgetown.edu. What is NLP?. Natural Language Processing (NLP) Computers use (analyze, understand, generate) natural language A somewhat applied field Computational Linguistics (CL)

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Metalinguistics

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Data Mining Final Project

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Semantic Mapping through a concept hub

Semantic Mapping through a concept hub. Dagobert Soergel College of Information Studies, University of Maryland Department of Library and Information Studies, University at Buffalo. Mapping through a Hub. Dewey 387 Water, air, space transportation

560 views • 35 slides

Automatic event extraction from text on the base of linguistic and semantic annotation

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Architecture Description Languages: An Overview

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Your 3 Tier Toolbox : Adopting, adapting and building frameworks of Critical Discourse Analysis for interdisciplinary,

Dr Darren Kelsey, Lecturer in Journalism and Discourse Studies Newcastle University Darren.Kelsey@ncl.ac.uk www.JDSjournal.net www.criticaldiscoursegroup.net @ drkelsinho @ KelsraviNik @ JDSjournal.

656 views • 31 slides

AI Methods in Data Warehousing

AI Methods in Data Warehousing. A System Architectural View. Walter Kriha. Business Driver: Customer Relationship Management (CRM). learn more about your Customer Provide personalized offerings (cheaper, targeted) Make better use of in-house information (e.g. financial research)

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Why are medievalists early adopters of information technology, and what can others learn from them?

Why are medievalists early adopters of information technology, and what can others learn from them?. MARGOT conference, Barnard College, New York, June 17, 2010 . John Unsworth, Dean Graduate School of Library and Information Science. Topics:. Are medievalists early adopters?

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Language in Context

Language in Context. Chapter 10. Outline. Reading: Bottom-Up and Top-Down Processes Perceptual Issues in Reading Lexical Processes in Reading Language and Thought Differences between Languages Bilingualism and Dialects Slips of the Tongue Language in a Social Context Speech Acts

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FCA-M ERGE: Bottom-up Merging of Ontologies

FCA-M ERGE: Bottom-up Merging of Ontologies. Gred Stumme Alexander Maedche Presenter: Yihong Ding. O1. 1st step. 2nd step. 3rd step. FCA-Merge: method. O1. Merging Algorithm. models. Ontology. Ontology. Ontology Environment . references. uses. Text Processing Server. Domain

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Deep Processing for Restricted Domain QA

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Syntax: Part II

Syntax: Part II. More Structures. Overview. Syntax Diagramming complex sentences Sentence Relatedness - Transformations -Structure Dependent -Syntactic Dependent . Adverbs.

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A Probabilistic Representation of Systemic Functional Grammar

A Probabilistic Representation of Systemic Functional Grammar. Robert Munro. Department of Linguistics, SOAS, University of London. Outline. Introduction Functions in the nominal group Machine learning Testing framework Classification vs unmarked function Gradational realization

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Text Genres I: non fiction

Text Genres I: non fiction. session 8 (22/10/03). announcements. Invited speakers for last course session Writing guidelines links Exercises scheme for sessions 10, 11 and 12 Please remember to fill in the evaluation

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Linguistics of American Sign Language A Study of Select Signs Through the Times

Linguistics of American Sign Language A Study of Select Signs Through the Times. Introduction.

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Review and Discussion of

Handbook of Research on Writing: History, Society, School, Individual, Text Edited By Charles Bazerman. Review and Discussion of . Reference Guides Research outcomes and methods histories Include various perspectives, often across disciplines

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Tools and resources

Tools and resources. Summary of working group discussion. Five focal areas. 1. Common representation 2. Treebank usage tools (editors...) 3. Exchanging annotation manuals 4. Treebank creation tools 5. Treebank evaluation tools. 1 Common representation format.

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