3 citations · 4 across the 6 of their papers we have counts for
7 papers
Towards a Joint Khmer Text Recognition and Word Segmentation
Marry Kong, Rina Buoy, Sovisal Chenda +3
Text recognition, or extracting electronic text from document images, has been indispensable for knowledge retrieval tasks, such as retrieval-augmented generation (RAG). For Khmer,…
Towards Khmer Scene Document Layout Detection
Marry Kong, Rina Buoy, Sovisal Chenda +3
While document layout analysis for Latin scripts has advanced significantly, driven by the advent of large multimodal models (LMMs), progress for the Khmer language remains constra…
Towards Universal Khmer Text Recognition
Marry Kong, Rina Buoy, Sovisal Chenda +3
Khmer is a low-resource language characterized by a complex script, presenting significant challenges for optical character recognition (OCR). While document printed text recogniti…
Khmer Spellchecking: A Holistic Approach
Marry Kong, Rina Buoy, Sovisal Chenda +1
Compared to English and other high-resource languages, spellchecking for Khmer remains an unresolved problem due to several challenges. First, there are misalignments between words…
Towards Explainable Khmer Polarity Classification
Marry Kong, Rina Buoy, Sovisal Chenda +1
Khmer polarity classification is a fundamental natural language processing task that assigns a positive, negative, or neutral label to a given Khmer text input. Existing Khmer mode…
Khmer Word Search: Challenges, Solutions, and Semantic-Aware Search
Rina Buoy, Nguonly Taing, Sovisal Chenda
Search is one of the key functionalities in digital platforms and applications such as an electronic dictionary, a search engine, and an e-commerce platform. While the search funct…
Khmer Text Classification Using Word Embedding and Neural Networks
Rina Buoy, Nguonly Taing, Sovisal Chenda
Text classification is one of the fundamental tasks in natural language processing to label an open-ended text and is useful for various applications such as sentiment analysis. In…