most citedJoint Khmer Word Segmentation and Part-of-Speech Tagging Using Deep Learning

4 citations · 8 across the 6 of their papers we have counts for

collaborators

6 papers

cs.CL2025

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…

cs.CL2025

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…

cs.CL2021★ 1 cited

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…

cs.CL2021★ 3 cited

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…

cs.CV2021

An End-to-End Khmer Optical Character Recognition using Sequence-to-Sequence with Attention

Rina Buoy, Sokchea Kor, Nguonly Taing

This paper presents an end-to-end deep convolutional recurrent neural network solution for Khmer optical character recognition (OCR) task. The proposed solution uses a sequence-to-…

cs.CL2021★ 4 cited

Joint Khmer Word Segmentation and Part-of-Speech Tagging Using Deep Learning

Rina Buoy, Nguonly Taing, Sokchea Kor

Khmer text is written from left to right with optional space. Space is not served as a word boundary but instead, it is used for readability or other functional purposes. Word segm…