NDLI: New Word Recognition Based on Support Vector Machines and Constraints

Content Provider	IEEE Xplore Digital Library
Author	Xu Yuanfang Gu Hui
Copyright Year	2015
Description	Author affiliation: Coll. of Network Technol., Inner Mongolia Normal Univ., Hohhot, China (Xu Yuanfang; Gu Hui)
Abstract	This paper studies a new method for identifying the new words, Objective to identify new words better. Method is first to extract the positive and negative samples from training corpus which was handled by segmentation and POS Tagging according to the dictionary, then combining with all kinds of words classification which was gotten from training corpus, and gaining the new word support vector through the training of supporting vector machine. Word segmentation and POS Tagging on the test of corpus containing simulated new words, in conjunction with the relevant constraints and the slack variables are proposed to select candidate new words, as to the quantized input and support vector machine classifier calculate by combining with the word itself characteristics, getting the relevant results is compared with a threshold and getting new words. As the results, the radial basis function (RBF) when the new word identification system recall rate and correct rate of the optimal. Conclusion is through this method can improve the accuracy of word recognition and recall.
Sponsorship	Tongji Univ.
Starting Page	341
Ending Page	344
File Size	159759
Page Count	4
File Format	PDF
e-ISBN	9781467368506
DOI	10.1109/ICISCE.2015.82
Language	English
Publisher	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Publisher Date	2015-04-24
Publisher Place	China
Access Restriction	Subscribed
Rights Holder	Institute of Electrical and Electronics Engineers, Inc. (IEEE)
Subject Keyword	Training Kernel function New words recognition Dictionaries Accuracy Constraints Support vector machine classification Support vector machine Character recognition Kernel
Content Type	Text
Resource Type	Article

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

A new fuzzy support vector machine based on mixed kernel function

Research on Face Recognition Based on Boolean Kernel SVM

Kernel Function Characteristic Analysis Based on Support Vector Machine in Face Recognition

New Jaccard-Distance Based Support Vector Machine Kernel for Handwritten Digit Recognition

Research on Classifying Performance of SVM with Modified Kernel Function in HCCR

A new contextual version of Support Vector Machine based on hyperplane translation

Based on Radial Basis Kernel function of Support Vector Machines for speaker recognition

Damaged ship unsinkability classification model based on fuzzy support vector machine

Two Schemas for Online Character Recognition of Telugu Script Based on Support Vector Machines

New Word Recognition Based on Support Vector Machines and Constraints

Similar Documents

A new fuzzy support vector machine based on mixed kernel function

Research on Face Recognition Based on Boolean Kernel SVM

Kernel Function Characteristic Analysis Based on Support Vector Machine in Face Recognition

New Jaccard-Distance Based Support Vector Machine Kernel for Handwritten Digit Recognition

Research on Classifying Performance of SVM with Modified Kernel Function in HCCR

A new contextual version of Support Vector Machine based on hyperplane translation

Based on Radial Basis Kernel function of Support Vector Machines for speaker recognition

Damaged ship unsinkability classification model based on fuzzy support vector machine

Two Schemas for Online Character Recognition of Telugu Script Based on Support Vector Machines

New Word Recognition Based on Support Vector Machines and Constraints