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Towards a Joint Khmer Text Recognition and Word Segmentation
Text recognition, or extracting electronic text from document images, has been indispensable for knowledge retrieval tasks, such as retrieval-augmented generation (RAG). For Khmer, extracted text is subject to an extra word segmentation step, as Khmer does not use any visible word delimiters to denote word boundaries. Thus, a recognition-then-segmentation pipeline for Khmer requires two separate sequential models; this is not only error-prone but also adds significant latency for large-scale document processing. This paper proposes a novel joint Khmer text recognition and word segmentation fra
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Evidence & attribution
- arXiv · AI, language, vision and robotics · 2026-08-31T03:53:25.000Z
First collected: 2026-09-21T07:22:03.933Z. This is not the publication date.