Abstract: It is crucial to use statistical language models (LM) to improve the accuracy of Chinese offline script recognition. In this paper, we investigate ...

It is crucial to use statistical language models (LMs) to improve the accuracy of Chinese offline script recognition. In this paper, we investigate the ...

Statistical language models are an important module in many areas of successful applications such as speech recognition and machine translation.

H.-J. Lee et al. A language model based on semantically clustered words in a Chinese character recognition system. Pattern Recognition.

An empirical study of statistical language models for contextual post-processing of Chinese script recognition ... post-processing for Chinese script recognition.

The language model design and implementation issue is researched in this paper. Different from previous research, we want to emphasize the importance of ...

The word based language model improves the performance of post-processing of online handwritten character recognition system compared with the character based ...

This paper presents a new method for clustering the words in a dictionary into word groups, which are applied in a Chinese character recognition system with ...

An Empirical Study of Statistical Language Models for Contextual Post-Processing of Chinese Script Recognition pp. 257-262. Spiral Recognition Methodology ...

Natural language processing. Recommendations. An Empirical Study of Statistical Language Models for Contextual Post-Processing of Chinese Script Recognition.