Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present a disambiguation algorithm for ighted automata. The algorithm admits two main stages: a pre-disambiguation stage follod by a transition removal stage.  give a detailed description of the algorithm and the proof of its correctness. The algorithm is not applicable to all ighted automata but  prove sufficient conditions for its applicability in the case of the tropical semiring by introducing the *ak twins property*. In particular, the algorithm can be used with all acyclic ighted automata, relevant to applications. While disambiguation can sometimes be achieved using determinization, our disambiguation algorithm in some cases can return a result that is exponentially smaller than any equivalent deterministic automaton.  also present some empirical evidence of the space benefits of disambiguation over determinization in speech recognition and machine translation applications.
['Mehryar Mohri', 'Michael Riley']
I am writing a research paper on a idea On the Disambiguation of Weighted Automata
[{"from": "human", "value": "I am writing a research paper on a idea On the Disambiguation of Weighted Automata"}, {"from": "gpt", "value": "Thats a unique idea.You should consider the following idea to enhance your idea so that it would impact uniquely:  present a disambiguation algorithm for ighted automata. The algorithm admits two main stages: a pre-disambiguation stage follod by a transition removal stage.  give a detailed description of the algorithm and the proof of its correctness. The algorithm is not applicable to all ighted automata but  prove sufficient conditions for its applicability in the case of the tropical semiring by introducing the *ak twins property*. In particular, the algorithm can be used with all acyclic ighted automata, relevant to applications. While disambiguation can sometimes be achieved using determinization, our disambiguation algorithm in some cases can return a result that is exponentially smaller than any equivalent deterministic automaton.  also present some empirical evidence of the space benefits of disambiguation over determinization in speech recognition and machine translation applications."}]