Detail of Publication

Text Language	English
Authors	Rina Buoy, Masakazu Iwamura, Sovila Srun & Koichi Kise
Title	Language-Aware Non-Autoregressive Khmer Textline Recognition Using Khmer Subword Model
Book_Title	Pattern Recognition and Artificial Intelligence
Number of Pages	16 pages
Reviewed or not	Reviewed
Presentation type	Oral
Month & Year	July 2024
Abstract	Unlike the Latin script, Khmer does not use spaces between words, leading to text recognition typically being done at the textline level. This can involve a vast number of characters and results in high latency for a language-aware autoregressive (AR) decoder that generates one character at a time. On the other hand, a non-autoregressive (NAR) decoder generates all characters in parallel, but it is not language-aware. In this paper, we introduce an efficient Khmer textline recognition method based on a NAR decoder, ensuring low decoding latency while maintaining linguistic awareness. This is achieved by utilizing a Khmer-specific subword modeling called Khmer character clusters (KCC) that capture the syntactic, morphological, and orthographic aspects of the Khmer script. Therefore, instead of conventional character-level recognition, the proposed method recognizes all character clusters or subwords in parallel. The experimental results demonstrate that the proposed method outperforms the character-level baseline NAR model in terms of recognition accuracy while maintaining the same low latency. When compared with the character-level baseline AR model, the proposed method achieves comparable or improved recognition accuracy while also achieving significantly lower latency. When compared with the recent state-of-the-art (SOTA) NAR and AR Khmer text recognition methods, our proposed method achieves superior recognition performance.

• Entry for BibTeX

  @InProceedings{Buoy2024,
    author =	{Rina Buoy and Masakazu Iwamura and Sovila Srun \& Koichi Kise},
    title =	{Language-Aware Non-Autoregressive Khmer Textline Recognition Using Khmer Subword Model},
    book_title =	{Pattern Recognition and Artificial Intelligence},
    year =	2024,
    month =	jul,
    numpages =	{16}
  }
  
  
  

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