An algorithm for zero pronoun resolution in Bulgarian

D. Grigorova
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引用次数: 5

Abstract

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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保加利亚语零代词解析算法
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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