The Grammar of Science

Results: 456



#Item
141What do paradigms look like (and why care anyway)? Greville Corbett: University of Surrey The glossing of linguistic examples used to be scandalously chaotic; things are improving gradually, as a result of linguistsʼ co

What do paradigms look like (and why care anyway)? Greville Corbett: University of Surrey The glossing of linguistic examples used to be scandalously chaotic; things are improving gradually, as a result of linguistsʼ co

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Source URL: www.hrelp.org

Language: English - Date: 2011-12-17 09:06:13
142INTEGRATED SCIENCE SUBJECT 5006 PAPER 2 GENERAL COMMENTS Generally the paper was poorly done. Very few candidates got above 50% and the majority of these were in the 20-30% range. Most answers given by candidates

INTEGRATED SCIENCE SUBJECT 5006 PAPER 2 GENERAL COMMENTS Generally the paper was poorly done. Very few candidates got above 50% and the majority of these were in the 20-30% range. Most answers given by candidates

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Source URL: www.zimsec.co.zw

Language: English - Date: 2013-07-04 08:10:08
143Course Guide  LASC08017 Linguistics and English Language 2A: Linguistic Theory and the Structure of English

Course Guide LASC08017 Linguistics and English Language 2A: Linguistic Theory and the Structure of English

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Source URL: www.lel.ed.ac.uk

Language: English - Date: 2014-09-15 08:07:01
144Question / Research methods / Science / Computer-assisted web interviewing / Data collection / Grammar / Human communication

LOGO QUESTIONNAIRE In order to design a logo that meets your needs and the needs of your audience, we need to know more about you, your product, or your service. Please think through these questions thoroughly with caref

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Source URL: www.rouviere.com

Language: English - Date: 2015-01-15 09:21:42
145LSA 354: Statistical Parsing: Problem Set [Some of these problems are borrowed with thanks from Michael Collins and Regina Barzilay.] Question 1 Let’s use a very simple grammar (where S is the start symbol, and termina

LSA 354: Statistical Parsing: Problem Set [Some of these problems are borrowed with thanks from Michael Collins and Regina Barzilay.] Question 1 Let’s use a very simple grammar (where S is the start symbol, and termina

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Source URL: nlp.stanford.edu

Language: English - Date: 2007-07-10 03:17:11
146Anthropology / Cognitive science / Humanities / Language / Linguistics / Morphological analysis / Ontology / Grammar / Science / Knowledge / Ethology

Developing a tool for morphological analysis of underdescribed languages Jeff Good (MPI EVA) and Emily Bender (University of Washington) Montage (Bender et alis a long-term project which has the goal of building

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Source URL: www.hrelp.org

Language: English - Date: 2005-05-31 06:11:27
147On the Localization of TEX in Hungary Gy¨ongyi Bujdos´o Department of Computer Graphics and Library and Information Science Institute of Mathematics and Informatics University of Debrecen H-4010 Debrecen, P.O.B. 12

On the Localization of TEX in Hungary Gy¨ongyi Bujdos´o Department of Computer Graphics and Library and Information Science Institute of Mathematics and Informatics University of Debrecen H-4010 Debrecen, P.O.B. 12

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Source URL: www.tug.org

Language: English - Date: 2003-03-21 15:33:25
148We transfer information using sentences. How should we model this? Some aspects of the logical structure of conversation Daniel Rothschild

We transfer information using sentences. How should we model this? Some aspects of the logical structure of conversation Daniel Rothschild

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Source URL: logic.berkeley.edu

Language: English - Date: 2014-08-24 16:43:20
149Open Information Extraction: the Second Generation Oren Etzioni, Anthony Fader, Janara Christensen, Stephen Soderland, and Mausam Turing Center Department of Computer Science and Engineering University of Washington Box

Open Information Extraction: the Second Generation Oren Etzioni, Anthony Fader, Janara Christensen, Stephen Soderland, and Mausam Turing Center Department of Computer Science and Engineering University of Washington Box

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Source URL: turing.cs.washington.edu

Language: English - Date: 2011-07-18 23:27:08
150Natural language processing / Corpus linguistics / Speech recognition / Markov models / Expectation–maximization algorithm / Algorithm / Lateen / Part-of-speech tagging / Mathematical optimization / Linguistics / Computational linguistics / Science

GRAMMAR INDUCTION AND PARSING WITH DEPENDENCY-AND-BOUNDARY MODELS A DISSERTATION SUBMITTED TO THE DEPARTMENT OF COMPUTER SCIENCE AND THE COMMITTEE ON GRADUATE STUDIES

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Source URL: nlp.stanford.edu

Language: English - Date: 2013-12-13 22:01:08