保加利亚语零代词解析算法

D. Grigorova
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引用次数: 5

摘要

本文提出了一种保加利亚语零代词名词短语先行词的识别算法。该算法适用于XML格式的语法表示,由上下文无关的语法解析器生成。与解析器一样,该算法也是用Java实现的。笔者在专门为调查保加利亚语零代词而创建的z语料库上进行了测试。该语料库是手动注释的,包含1029个零代词出现。该算法的临界成功率为84%。将该算法与文献中提出的另一种方法进行了比较。本文算法的临界成功率提高了3%。
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An algorithm for zero pronoun resolution in Bulgarian
This paper presents an algorithm for identifying the noun phrase antecedents of zero pronouns in Bulgarian. The algorithm applies to syntactic representation in XML format, generated by context-free grammar parser. Like the parser, the algorithm is implemented in Java. The author has tested it on Z-corpora, specially created for the investigation of zero pronouns in Bulgarian. The corpora are manually annotated and contain 1029 zero pronouns occurrences. The algorithm has 84% critical success rate. The algorithm is compared to another approach, which has been proposed in literature. The author's algorithm achieves 3% higher critical success rate.
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