Latent Semantic Mapping (Record no. 85869)

000 -LEADER
fixed length control field 04330nam a22005055i 4500
001 - CONTROL NUMBER
control field 978-3-031-02556-3
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240730164732.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 220601s2007 sz | s |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031025563
-- 978-3-031-02556-3
082 04 - CLASSIFICATION NUMBER
Call Number 621.3
100 1# - AUTHOR NAME
Author Bellegarda, Jerome R.
245 10 - TITLE STATEMENT
Title Latent Semantic Mapping
Sub Title Principles and Applications /
250 ## - EDITION STATEMENT
Edition statement 1st ed. 2007.
300 ## - PHYSICAL DESCRIPTION
Number of Pages X, 101 p.
490 1# - SERIES STATEMENT
Series statement Synthesis Lectures on Speech and Audio Processing,
505 0# - FORMATTED CONTENTS NOTE
Remark 2 Contents: I. Principles -- Introduction -- Latent Semantic Mapping -- LSM Feature Space -- Computational Effort -- Probabilistic Extensions -- II. Applications -- Junk E-mail Filtering -- Semantic Classification -- Language Modeling -- Pronunciation Modeling -- Speaker Verification -- TTS Unit Selection -- III. Perspectives -- Discussion -- Conclusion -- Bibliography.
520 ## - SUMMARY, ETC.
Summary, etc Latent semantic mapping (LSM) is a generalization of latent semantic analysis (LSA), a paradigm originally developed to capture hidden word patterns in a text document corpus. In information retrieval, LSA enables retrieval on the basis of conceptual content, instead of merely matching words between queries and documents. It operates under the assumption that there is some latent semantic structure in the data, which is partially obscured by the randomness of word choice with respect to retrieval. Algebraic and/or statistical techniques are brought to bear to estimate this structure and get rid of the obscuring ""noise."" This results in a parsimonious continuous parameter description of words and documents, which then replaces the original parameterization in indexing and retrieval. This approach exhibits three main characteristics: -Discrete entities (words and documents) are mapped onto a continuous vector space; -This mapping is determined by global correlation patterns; and -Dimensionality reduction is an integral part of the process. Such fairly generic properties are advantageous in a variety of different contexts, which motivates a broader interpretation of the underlying paradigm. The outcome (LSM) is a data-driven framework for modeling meaningful global relationships implicit in large volumes of (not necessarily textual) data. This monograph gives a general overview of the framework, and underscores the multifaceted benefits it can bring to a number of problems in natural language understanding and spoken language processing. It concludes with a discussion of the inherent tradeoffs associated with the approach, and some perspectives on its general applicability to data-driven information extraction. Contents: I. Principles / Introduction / Latent Semantic Mapping / LSM Feature Space / Computational Effort / Probabilistic Extensions / II. Applications/ Junk E-mail Filtering / Semantic Classification / Language Modeling / Pronunciation Modeling / Speaker Verification / TTS Unit Selection / III. Perspectives / Discussion / Conclusion / Bibliography.
856 40 - ELECTRONIC LOCATION AND ACCESS
Uniform Resource Identifier https://doi.org/10.1007/978-3-031-02556-3
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type eBooks
264 #1 -
-- Cham :
-- Springer International Publishing :
-- Imprint: Springer,
-- 2007.
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-- computer
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-- rdamedia
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-- online resource
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-- text file
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650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electrical engineering.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Signal processing.
650 #0 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Acoustical engineering.
650 14 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Electrical and Electronic Engineering.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Signal, Speech and Image Processing.
650 24 - SUBJECT ADDED ENTRY--SUBJECT 1
-- Engineering Acoustics.
830 #0 - SERIES ADDED ENTRY--UNIFORM TITLE
-- 1932-1678
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-- ZDB-2-SXSC

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