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Source Code: Querying and Serving N-gram Language Models with Python

by Nitin Madnani
"... Statistical n-gram language modeling is a very important technique in Natural Language Processing (NLP) and Computational Linguistics used to assess the fluency of an utterance in any given language. It is widely employed in several important NLP applications such as Machine Translation and Automati ..."
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and Automatic Speech Recognition. However, the most commonly used toolkit (SRILM) to build such language models on a large scale is written entirely in C++ which presents a challenge to an NLP developer or researcher whose primary language of choice is Python. This article first provides a gentle introduction

BMC Neuroscience BioMed Central Poster presentation Brian: a simulator for spiking neural networks in Python

by Dan Goodman, Romain Brette, Dan Goodman , 2008
"... We present Brian, a new clock driven simulator for spiking neural networks which is available on almost all platforms. Brian is easy to learn and use, highly flexible and easily extensible. The Brian package itself and simulations using it are all written in the Python programming language, which is ..."
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We present Brian, a new clock driven simulator for spiking neural networks which is available on almost all platforms. Brian is easy to learn and use, highly flexible and easily extensible. The Brian package itself and simulations using it are all written in the Python programming language, which

AttributeGrammar Encoding based upon a Generic Neural Markup Language: Facilitating the Design of Theoretical Neural Network Models

by Talib S. Hussain
"... Abstract There is a need for tools that facilitate the systematic exploration of novel theoretical neural network models. Existing neural network simulation environments, neural network specification languages, and genetic encoding of neural networks fall short of providing the tools needed for thi ..."
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for this task. We suggest that a useful approach to the design of such tools may be the use of a grammar to capture neural design principles as well as structural and behavioral elements, and mechanisms to automatically translate the parse trees of the grammar into complete neural network specifications in a

A New Approach to Contextual Suggestions Based on Word2Vec

by Yongqiang Chen, Zhenjun Tang, Xiaozhao Zhao, D. Song, P. Zhang
"... Abstract. We report our participation in the contextual suggestion track of TREC 2014 for which we submitted two runs using a novel ap-proach to complete the competition. The goal of the track is to generate suggestions that users might fond of given the history of users ’ prefer-ence where he or sh ..."
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or she used to live in when they travel to a new city. We tested our new approach in the dataset of ClueWeb12-CatB which has been pre-indexed by Luence. Our system represents all attractions and user contexts in the continuous vector space learnt by neural network language models, and then we learn

Regularization and nonlinearities for neural language models: when are they needed? arXiv preprint arXiv:1301.5650

by Marius Pachitariu, Maneesh Sahani , 2013
"... Neural language models (LMs) based on recurrent neural networks (RNN) are some of the most successful word and character-level LMs. Why do they work so well, in particular better than linear neural LMs? Possible explanations are that RNNs have an implicitly better regularization or that RNNs have a ..."
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Neural language models (LMs) based on recurrent neural networks (RNN) are some of the most successful word and character-level LMs. Why do they work so well, in particular better than linear neural LMs? Possible explanations are that RNNs have an implicitly better regularization or that RNNs have a

THE FUTURE OF C2 CAPTURING AND MODELING DOMAIN KNOWLEDGE USING NATURAL LANGUAGE PROCESSING TECHNIQUES Topic: Decisionmaking and Cognitive Analysis

by Dr Alain Auger, Drdc Valcartier
"... Report Documentation Page Form ApprovedOMB No. 0704-0188 Public reporting burden for the collection of information is estimated to average 1 hour per response, including the time for reviewing instructions, searching existing data sources, gathering and maintaining the data needed, and completing an ..."
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and reviewing the collection of information. Send comments regarding this burden estimate or any other aspect of this collection of information, including suggestions for reducing this burden, to Washington Headquarters Services, Directorate for Information Operations and Reports, 1215 Jefferson Davis Highway

Models in science’,

by Roman Frigg , Stephan Hartmann - The Stanford Encyclopedia of Philosophy. The Metaphysics Research Lab, , 2008
"... Models are of central importance in many scientific contexts. The centrality of models such as the billiard ball model of a gas, the Bohr model of the atom, the MIT bag model of the nucleon, the Gaussian-chain model of a polymer, the Lorenz model of the atmosphere, the Lotka-Volterra model of preda ..."
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explain this without further ado: when we introduce a model we use an identifying description, but the object itself is not exhaustively characterized by this description. Research then simply amounts to finding out more about the object thus identified. The drawback of this suggestion is that fictional

Behavioral and neural lateralization of vision in courtship singing of the zebra finch

by Isabelle George, Erina Hara, Neal A. Hessler - J. Neurobiol , 2006
"... ABSTRACT: Along with human speech and language processing, birdsong has been one of the bestcharacterized model systems for understanding the relationship of lateralization of brain function to behavior. Lateralization of song production has been extensively characterized, and lateralization of song ..."
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ABSTRACT: Along with human speech and language processing, birdsong has been one of the bestcharacterized model systems for understanding the relationship of lateralization of brain function to behavior. Lateralization of song production has been extensively characterized, and lateralization

The Standardized Visual Communication and Sign Language Checklist for Signing Children. Sign Language Studies (Summer).

by Laurene Simms , Sharon Baker , M Diane , Clark Sign , Laurene Simms , Sharon Baker , M Diane , 2013
"... Abstract Despite efforts by both U.S. and Canadian Deaf education practitioners, the development of an American Sign Language (ASL) curriculum and related assessments has proceeded by fits and starts over the last thirty years. Using existing spoken language assessments as models, a number of check ..."
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Abstract Despite efforts by both U.S. and Canadian Deaf education practitioners, the development of an American Sign Language (ASL) curriculum and related assessments has proceeded by fits and starts over the last thirty years. Using existing spoken language assessments as models, a number

Learners and teachers: The application of psychology to second-language acquisition

by Madeline Ehrman
"... The successful acquisition of second languages depends as much on good psychology as it does on sound linguistics. Both teaching and learning can be enriched by understanding and applying basic psychological principles. The speaking and reading performance of second-language learners has received a ..."
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. When viewed with the foregoing comments in mind, case material can be understood from a number of points of view, all of which may be valid. From each point of view, we can expect to find something useful. The individual The basic unit for applying psychological insights in second-language acquisition
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