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AMBIGUITY RESOLUTION OF SERIAL NOUN CONSTRUCTIONS IN CHINESE SENTENCES

中文句中名詞串的歧義處理

摘要


We present a rule-based approach for resolving ambiguities in noun series in Chinese sentences. According to our statistics, serial noun constructions occur in about 12.6% of our testing articles. The relationship between two adjacent nouns can be one of modification, apposition, possession, or conjunction, or they can be two separate noun phrases. Employing both syntactic and semantic features, we resolve possible ambiguities via rules that take into account situations in which the genitive marker, 的, in NP schema is omitted and there is no pause in coordinated constructions and appositions. The syntactic structure of a series of nouns whose length exceeds two depends on the association of different types of combinations. We find that the conjunctions have the strongest association, followed by modification, possession and finally apposition. This scheme of ambiguity resolution is integrated into our unification-based chart parser. Experimental results show its applicability.

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並列摘要


本論文提出一個法則導向的方式來解決中文句子中連串名詞結構(serial noun constructions)的岐異問題,中文句子中相連兩個名詞不一定具有修飾詞一首語(modifier-head)的關係或是位移的相鄰名詞,它們還可能是擁有名詞組(possessive noun phrase)、同位名詞組(appositive noun phrase)、連接名詞組(conjective noun phrase)。此外,超過兩個名詞組的階層結構,由於名詞間的不同組合方式,不一定是由左到右相接(left-to-right association)。由測試文章我們統計出串列名詞組發生 率有20%以上,本論文將使用語法種類特徵和語意階層(semantic hierarchy)設計岐異解決法則。本論文亦將提出四種名詞一名詞組合的先後關係(precedence relation),以解決串列名詞的階層關係。本論文提出的方法已結合聯幷基底(unification-based)的圖性剖析器(chart-parser),我們將以一些例子說明。

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