Dependency Parsing of Japanese Spoken Monologue Based on Clause Boundaries
Dependency Parsing of Japanese Spoken Monologue Based on Clause Boundaries
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DOI：
10.3115/1220175.1220197
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发表时间：
2006-07
期刊：
影响因子：
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通讯作者：
T. Ohno;S. Matsubara;H. Kashioka;Takehiko Maruyama;Y. Inagaki
中科院分区：
文献类型：
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作者：
T. Ohno;S. Matsubara;H. Kashioka;Takehiko Maruyama;Y. Inagaki
与口语对话相比，口语独白的特点是句子更长，结构更复杂。为了实现口语独白的高解析性能，通过将句子划分为合适的语言单元来简化结构可能被证明是有效的。提出了一种基于句子切分的日语独白依存句法分析方法。在该方法中，依存分析分两个阶段执行：在子句级别和在句子级别。首先，通过将句子分成子句并对每个子句执行随机依存分析来识别子句中的依存关系。接下来，随机地识别子句边界上的依存关系，从而完成整个句子的依存结构。在口语独白语料库上的实验表明，该方法对日语独白句子的依存句法分析是有效的。
Spoken monologues feature greater sentence length and structural complexity than do spoken dialogues. To achieve high parsing performance for spoken monologues, it could prove effective to simplify the structure by dividing a sentence into suitable language units. This paper proposes a method for dependency parsing of Japanese monologues based on sentence segmentation. In this method, the dependency parsing is executed in two stages: at the clause level and the sentence level. First, the dependencies within a clause are identified by dividing a sentence into clauses and executing stochastic dependency parsing for each clause. Next, the dependencies over clause boundaries are identified stochastically, and the dependency structure of the entire sentence is thus completed. An experiment using a spoken monologue corpus shows this method to be effective for efficient dependency parsing of Japanese monologue sentences.