Parallel Memory-based Parsing on a Marker-passing Computer

Parallel Memory-based Parsing on a Marker-passing Computer
Author :
Publisher :
Total Pages : 204
Release :
ISBN-10 : OCLC:31991399
ISBN-13 :
Rating : 4/5 ( Downloads)

Book Synopsis Parallel Memory-based Parsing on a Marker-passing Computer by : Minhwa Chung

Download or read book Parallel Memory-based Parsing on a Marker-passing Computer written by Minhwa Chung and published by . This book was released on 1993 with total page 204 pages. Available in PDF, EPUB and Kindle. Book excerpt:


Parallel Memory-based Parsing on a Marker-passing Computer Related Books

Parallel Memory-based Parsing on a Marker-passing Computer
Language: en
Pages: 204
Authors: Minhwa Chung
Categories: Computational linguistics
Type: BOOK - Published: 1993 - Publisher:

DOWNLOAD EBOOK

The Tenth Conference on Artificial Intelligence for Applications
Language: en
Pages: 544
Authors:
Categories: Artificial intelligence
Type: BOOK - Published: 1994 - Publisher:

DOWNLOAD EBOOK

Speech-to-Speech Translation
Language: en
Pages: 205
Authors: Hiroaki Kitano
Categories: Computers
Type: BOOK - Published: 2012-12-06 - Publisher: Springer Science & Business Media

DOWNLOAD EBOOK

Speech--to--Speech Translation: a Massively Parallel Memory-Based Approach describes one of the world's first successful speech--to--speech machine translation
Parallel Processing from Applications to Systems
Language: en
Pages: 586
Authors: Dan I. Moldovan
Categories: Computers
Type: BOOK - Published: 2014-06-28 - Publisher: Elsevier

DOWNLOAD EBOOK

This text provides one of the broadest presentations of parallel processing available, including the structure of parallelprocessors and parallel algorithms. Th
integrating Marker Passing and Problem Solving
Language: en
Pages: 318
Authors: James A. Hendler
Categories: Psychology
Type: BOOK - Published: 2014-05-12 - Publisher: Psychology Press

DOWNLOAD EBOOK

A recent area of interest in the Artificial Intelligence community has been the application of massively parallel algorithms to enhance the choice mechanism in