<--- Back to Details
First PageDocument Content
Computational linguistics / Linguistics / Corpus linguistics / Artificial intelligence / Statistical natural language processing / Speech recognition / Applied linguistics / Natural language processing / Topic model / N-gram / Time series
Date: 2017-10-04 00:45:00
Computational linguistics
Linguistics
Corpus linguistics
Artificial intelligence
Statistical natural language processing
Speech recognition
Applied linguistics
Natural language processing
Topic model
N-gram
Time series

Time Series Analysis Using NOC Noriaki Kawamae The University of Tokyo 7 Chome-3-1 Hongo, Bunkyo, Tokyo, Japan Japan

Add to Reading List

Source URL: gdac.uqam.ca

Download Document from Source Website

File Size: 1,11 MB

Share Document on Facebook

Similar Documents

Multi-source annotation projection of coreference chains: assessing strategies and testing opportunities Yulia Grishina and Manfred Stede Applied Computational Linguistics FSP Cognitive Science University of Potsdam

Multi-source annotation projection of coreference chains: assessing strategies and testing opportunities Yulia Grishina and Manfred Stede Applied Computational Linguistics FSP Cognitive Science University of Potsdam

DocID: 1vrep - View Document

Modelling context within a constraint-based account of quantifier usage Chris Cummins1, 2 and Napoleon Katsos1 1  Department of Theoretical and Applied Linguistics, University of Cambridge

Modelling context within a constraint-based account of quantifier usage Chris Cummins1, 2 and Napoleon Katsos1 1 Department of Theoretical and Applied Linguistics, University of Cambridge

DocID: 1uKOl - View Document

Surfaces and Depths in Text Understanding: The Case of Newspaper Commentary Manfred Stede University of Potsdam Dept. of Linguistics Applied Computational Linguistics

Surfaces and Depths in Text Understanding: The Case of Newspaper Commentary Manfred Stede University of Potsdam Dept. of Linguistics Applied Computational Linguistics

DocID: 1uATj - View Document

Medical-domain Machine Translation in KConnect  Pavel Pecina Charles University, Prague Faculty of Mathematics and Physics Institute of Formal and Applied Linguistics

Medical-domain Machine Translation in KConnect Pavel Pecina Charles University, Prague Faculty of Mathematics and Physics Institute of Formal and Applied Linguistics

DocID: 1uxga - View Document

Scrambled Word Recognition: Implications for Position Coding Chris Cummins Research Centre for English and Applied Linguistics (RCEAL) University of Cambridge Position coding:

Scrambled Word Recognition: Implications for Position Coding Chris Cummins Research Centre for English and Applied Linguistics (RCEAL) University of Cambridge Position coding:

DocID: 1u6Ph - View Document