Combining finite state automata and a greedy learning algorithm to determine the syntactic roles of commas

S. V. Delden, F. Gomez
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引用次数: 11

Abstract

A method has been developed and implemented that assigns syntactic roles to commas. Text that has been tagged using a part-of-speech tagger serves as the input to the system. A set of Finite State Automata first assigns temporary syntactic roles to each comma in the sentence. A greedy learning algorithm is then used to determine the final syntactic roles of the commas. The system requires no training and is not domain specific. The performance of the system on numerous corpora is given.
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结合有限状态自动机和贪婪学习算法来确定逗号的句法角色
已经开发并实现了为逗号分配语法角色的方法。使用词性标注器标记的文本作为系统的输入。一组有限状态自动机首先为句子中的每个逗号分配临时语法角色。然后使用贪婪学习算法来确定逗号的最终语法角色。该系统不需要培训,也不是特定于领域的。给出了该系统在多种语料库上的性能。
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