Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  propose a novel method of building a language model for open-vocabulary Korean word recognition. Due to the complex morphology of Korean, it is inappropriate to use lexicons based on the linguistic entities such as words and morphemes in open-vocabulary domains. Instead,  build the lexicon by collecting variable length character sequences from the raw texts using a dynamic Bayesian network model of the language. In simulated word recognition experiments, the proposed language model could find correct words from lattices of character candidates in 94.3% of cases, increasing the word recognition rates by 20.9%.
['Sungho Ryu', 'Jin Hyung Kim']
I am writing a research paper on a idea Learning the lexicon from raw texts for open-vocabulary Korean word recognition
[{"from": "human", "value": "I am writing a research paper on a idea Learning the lexicon from raw texts for open-vocabulary Korean word recognition"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely: ,  propose a novel method of building a language model for open-vocabulary Korean word recognition. Due to the complex morphology of Korean, it is inappropriate to use lexicons based on the linguistic entities such as words and morphemes in open-vocabulary domains. Instead,  build the lexicon by collecting variable length character sequences from the raw texts using a dynamic Bayesian network model of the language. In simulated word recognition experiments, the proposed language model could find correct words from lattices of character candidates in 94.3% of cases, increasing the word recognition rates by 20.9%."}]