Simulated annealing clustering of Chinese words for contextual text recognition
Identifieur interne : 002A17 ( Main/Merge ); précédent : 002A16; suivant : 002A18Simulated annealing clustering of Chinese words for contextual text recognition
Auteurs : C.-H. Chang [Taïwan]Source :
- Pattern recognition letters [ 0167-8655 ] ; 1996.
Descripteurs français
- Pascal (Inist)
- Wicri :
- topic : Stockage.
English descriptors
- KwdEn :
Abstract
Simulated annealing clustering algorithms are applied in discovering word classes in a Chinese class n-gram model, which can be used for contextual postprocessing of handwritten Chinese character recognition. Experimental results show that the proposed model achieves much better performance than the dictionary-based models and outperforms the well-known inter-word character bigram model while using less storage.
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Pascal:96-0106676Le document en format XML
<record><TEI><teiHeader><fileDesc><titleStmt><title xml:lang="en" level="a">Simulated annealing clustering of Chinese words for contextual text recognition</title><author><name sortKey="Chang, C H" sort="Chang, C H" uniqKey="Chang C" first="C.-H." last="Chang">C.-H. Chang</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Industrial technology res. inst., E000/CCL</s1><s2>Hsinchu 31015</s2><s3>TWN</s3></inist:fA14><country>Taïwan</country><wicri:noRegion>Hsinchu 31015</wicri:noRegion></affiliation></author></titleStmt><publicationStmt><idno type="wicri:source">INIST</idno><idno type="inist">96-0106676</idno><date when="1996">1996</date><idno type="stanalyst">PASCAL 96-0106676 INIST</idno><idno type="RBID">Pascal:96-0106676</idno><idno type="wicri:Area/PascalFrancis/Corpus">000A21</idno><idno type="wicri:Area/PascalFrancis/Curation">000977</idno><idno type="wicri:Area/PascalFrancis/Checkpoint">000930</idno><idno type="wicri:doubleKey">0167-8655:1996:Chang C:simulated:annealing:clustering</idno><idno type="wicri:Area/Main/Merge">002A17</idno></publicationStmt><sourceDesc><biblStruct><analytic><title xml:lang="en" level="a">Simulated annealing clustering of Chinese words for contextual text recognition</title><author><name sortKey="Chang, C H" sort="Chang, C H" uniqKey="Chang C" first="C.-H." last="Chang">C.-H. Chang</name><affiliation wicri:level="1"><inist:fA14 i1="01"><s1>Industrial technology res. inst., E000/CCL</s1><s2>Hsinchu 31015</s2><s3>TWN</s3></inist:fA14><country>Taïwan</country><wicri:noRegion>Hsinchu 31015</wicri:noRegion></affiliation></author></analytic><series><title level="j" type="main">Pattern recognition letters</title><title level="j" type="abbreviated">Pattern recogn. lett.</title><idno type="ISSN">0167-8655</idno><imprint><date when="1996">1996</date></imprint></series></biblStruct></sourceDesc><seriesStmt><title level="j" type="main">Pattern recognition letters</title><title level="j" type="abbreviated">Pattern recogn. lett.</title><idno type="ISSN">0167-8655</idno></seriesStmt></fileDesc><profileDesc><textClass><keywords scheme="KwdEn" xml:lang="en"><term>Aggregation</term><term>Algorithm</term><term>Character recognition</term><term>OCR</term><term>Simulated annealing</term><term>Storage</term><term>Word</term></keywords><keywords scheme="Pascal" xml:lang="fr"><term>Algorithme</term><term>Recuit simulé</term><term>Reconnaissance caractère</term><term>Agrégation</term><term>Mot</term><term>Stockage</term><term>Word clustering</term><term>Perplexity</term><term>Contextual postprocessing</term><term>OCR</term></keywords><keywords scheme="Wicri" type="topic" xml:lang="fr"><term>Stockage</term></keywords></textClass></profileDesc></teiHeader><front><div type="abstract" xml:lang="en">Simulated annealing clustering algorithms are applied in discovering word classes in a Chinese class n-gram model, which can be used for contextual postprocessing of handwritten Chinese character recognition. Experimental results show that the proposed model achieves much better performance than the dictionary-based models and outperforms the well-known inter-word character bigram model while using less storage.</div></front></TEI><affiliations><list><country><li>Taïwan</li></country></list><tree><country name="Taïwan"><noRegion><name sortKey="Chang, C H" sort="Chang, C H" uniqKey="Chang C" first="C.-H." last="Chang">C.-H. Chang</name></noRegion></country></tree></affiliations></record>Pour manipuler ce document sous Unix (Dilib)
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