The proposed solutions include character order normalization, grapheme and phoneme-based spellcheckers, and Khmer word semantic model. In this paper, we propose a set of robust solutions to the above challenges associated with Khmer word search. Moreover, due to the absence of WordNet-like lexical databases for Khmer language, it is impossible to establish semantic relation between words, enabling semantic search. These challenges hinder the use of Khmer language in search-embedded applications. Additionally, spelling mistakes are common since robust spellcheckers are not commonly available across the input device platforms. Multiple orders of characters and different spelling realizations of words impose a constraint on Khmer word search functionality. While the search function in some languages is trivial, Khmer word search is challenging given its complex writing system. 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.
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