Open vocabulary handwriting recognition using combined word-level and character-level language models

ICASSP, IEEE International Conference on Acoustics, Speech and Signal Processing - Proceedings

Volumn , Issue , 2013, Pages 8257-8261

  Kozielski, Michal ^a   Rybach, David ^a   Hahn, Stefan ^a   Schluter, Ralf ^a   Ney, Hermann ^a,b  

^a RWTH AACHEN UNIVERSITY   (Germany)

^b Laboratoire Interdisciplinaire des Sciences du Numérique   (France)

Author keywords

character based language models; handwriting recognition; open vocabulary recognition

Indexed keywords

BAYES DECISION RULES; HANDWRITING RECOGNITION; LANGUAGE MODEL; OUT-OF-VOCABULARY WORDS; SEARCH STRATEGIES; VOCABULARY RECOGNITION; WEIGHTED FINITE-STATE TRANSDUCERS; WORD ERROR RATE;

SIGNAL PROCESSING;

COMPUTATIONAL LINGUISTICS;

EID: 84890546124     PISSN: 15206149     EISSN: None     Source Type: Conference Proceeding    
DOI: 10.1109/ICASSP.2013.6639275     Document Type: Conference Paper

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