Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present an empirical study of the applicability of Probabilistic Lexicalized Tree Insertion Grammars (PLTIG), a lexicalized counterpart to Probabilistic Context-Free Grammars (PCFG), to problems in stochastic natural-language processing. Comparing the performance of PLTIGs, with non-hierarchical N-gram models and PCFGs,  show that PLTIG combines the best aspects of both, with language modeling capability comparable to N-gram models and PCFGs,  show that PLTIG combines the best aspects of both, with language modeling capability comparable to N-grams, and improved parsing performance over its nonlexicalized counterpart. Furthermore, training of PLTIGs displays faster convergence than PCFGs.
['Rebecca Hwa']
I am writing a research paper on a idea An Empirical Evaluation of Probabilistic Lexicalized Tree Insertion Grammars
[{"from": "human", "value": "I am writing a research paper on a idea An Empirical Evaluation of Probabilistic Lexicalized Tree Insertion Grammars"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present an empirical study of the applicability of Probabilistic Lexicalized Tree Insertion Grammars (PLTIG), a lexicalized counterpart to Probabilistic Context-Free Grammars (PCFG), to problems in stochastic natural-language processing. Comparing the performance of PLTIGs, with non-hierarchical N-gram models and PCFGs,  show that PLTIG combines the best aspects of both, with language modeling capability comparable to N-gram models and PCFGs,  show that PLTIG combines the best aspects of both, with language modeling capability comparable to N-grams, and improved parsing performance over its nonlexicalized counterpart. Furthermore, training of PLTIGs displays faster convergence than PCFGs."}]