Learning internal representations by error propagation
Parallel distributed processing: explorations in the microstructure of cognition, vol. 1
Statistical methods for speech recognition
Statistical methods for speech recognition
On-Line and Off-Line Handwriting Recognition: A Comprehensive Survey
IEEE Transactions on Pattern Analysis and Machine Intelligence
Neural Networks for Pattern Recognition
Neural Networks for Pattern Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
A neural probabilistic language model
The Journal of Machine Learning Research
Combining Pattern Classifiers: Methods and Algorithms
Combining Pattern Classifiers: Methods and Algorithms
Minimum error rate training in statistical machine translation
ACL '03 Proceedings of the 41st Annual Meeting on Association for Computational Linguistics - Volume 1
ICML '06 Proceedings of the 23rd international conference on Machine learning
Continuous space language models
Computer Speech and Language
Continuous space language models for statistical machine translation
COLING-ACL '06 Proceedings of the COLING/ACL on Main conference poster sessions
A Novel Connectionist System for Unconstrained Handwriting Recognition
IEEE Transactions on Pattern Analysis and Machine Intelligence
Fast Evaluation of Connectionist Language Models
IWANN '09 Proceedings of the 10th International Work-Conference on Artificial Neural Networks: Part I: Bio-Inspired Systems: Computational and Ambient Intelligence
Markov models for offline handwriting recognition: a survey
International Journal on Document Analysis and Recognition
A lazy version of Eppstein's K shortest paths algorithm
WEA'03 Proceedings of the 2nd international conference on Experimental and efficient algorithms
SACH'06 Proceedings of the 2006 conference on Arabic and Chinese handwriting recognition
Training continuous space language models: some practical issues
EMNLP '10 Proceedings of the 2010 Conference on Empirical Methods in Natural Language Processing
Improving Offline Handwritten Text Recognition with Hybrid HMM/ANN Models
IEEE Transactions on Pattern Analysis and Machine Intelligence
Confidence- and margin-based MMI/MPE discriminative training for off-line handwriting recognition
International Journal on Document Analysis and Recognition - Special issue - Selected and extended papers from ICDAR2009
CEU-UPV English-Spanish system for WMT11
WMT '11 Proceedings of the Sixth Workshop on Statistical Machine Translation
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Unconstrained off-line continuous handwritten text recognition is a very challenging task which has been recently addressed by different promising techniques. This work presents our latest contribution to this task, integrating neural network language models in the decoding process of three state-of-the-art systems: one based on bidirectional recurrent neural networks, another based on hybrid hidden Markov models and, finally, a combination of both. Experimental results obtained on the IAM off-line database demonstrate that consistent word error rate reductions can be achieved with neural network language models when compared with statistical N-gram language models on the three tested systems. The best word error rate, 16.1%, reported with ROVER combination of systems using neural network language models significantly outperforms current benchmark results for the IAM database.