Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a method to develop a class of variable memory Markov models that have higher memory capacity than traditional (uniform memory) Markov models. The structure of the variable memory models is induced from a manually annotated corpus through a decision tree learning algorithm. A series of comparative experiments show the resulting models outperform uniform memory Markov models in a part-of-speech tagging task.
['Jin-Dong Kim', 'Hae-Chang Rim', "Jun'ichi Tsujii"]
I am writing a research paper on a idea Self-Organizing Markov Models and Their Application to Part-of-Speech Tagging
[{"from": "human", "value": "I am writing a research paper on a idea Self-Organizing Markov Models and Their Application to Part-of-Speech Tagging"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  presents a method to develop a class of variable memory Markov models that have higher memory capacity than traditional (uniform memory) Markov models. The structure of the variable memory models is induced from a manually annotated corpus through a decision tree learning algorithm. A series of comparative experiments show the resulting models outperform uniform memory Markov models in a part-of-speech tagging task."}]