颠覆传统模型,用词形优先法解析阿拉伯语名词复数
Pattern-and-root inflectional morphology: the Arabic broken plural
- 将词根-词形结构改为词形-词根,优先处理词形模式
- 构建160类复数形式,细分为300个变式,覆盖三音与四音复数
- 直接用词典分析文本,无需音变规则,适合语言工程应用
本文提出一种全新的阿拉伯语名词屈折形态描述模型,重点在于词典与语言资源的管理。突破性在于将传统的词根-词形结构反转为词形-词根,强调词形优先。模型涵盖断裂复数(BPs),即通过改变词干形成的复数。与传统阿拉伯语形态学不同,本模型将屈折描述与派生及语义分离。词典以词条形式组织,参考拼写完全带符号标注。文本的形态分析可直接基于词汇表,无需音变规则。名词屈折分类简单、有序且详尽:三音断裂复数按22种模式分90类,四音断裂复数按3种模式分70类,共160类;考虑仅影响单数的变式后,扩展为300个屈折类。我们设计了清晰编码方案,并应用于3200条断裂复数名词数据。
原文摘要 · Abstract (English)
We present a substantially implemented model of description of the inflectional morphology of Arabic nouns, with special attention to the management of dictionaries and other language resources by Arabic-speaking linguists. The breakthrough lies in the reversal of the traditional root-and-pattern Semitic model into pattern-and-root, giving precedence to patterns over roots. Our model includes broken plurals (BPs), i.e. plurals formed by modifying the stem. It is based on the traditional notions of root and pattern of Semitic morphology. However, as compared to traditional Arabic morphology, it keeps the formal description of inflection separate from that of derivation and semantics. As traditional Arabic dictionaries, the updatable dictionary is structured in lexical entries for lemmas, and the reference spelling is fully diacritized. In our model, morphological analysis of Arabic text is performed directly with a dictionary of words and without morphophonological rules. Our taxonomy for noun inflection is simple, orderly and detailed. We simplify the taxonomy of singular patterns by specifying vowel quantity as v or vv, and ignoring vowel quality. Root alternations and orthographical variations are encoded independently from patterns and in a factual way, without deep roots or morphophonological or orthographical rules. Nouns with a triliteral BP are classified according to 22 patterns subdivided into 90 classes, and nouns with a quadriliteral BP according to 3 patterns subdivided into 70 classes. These 160 classes become 300 inflectional classes when we take into account inflectional variations that affect only the singular. We provide a straightforward encoding scheme that we applied to 3 200 entries of BP nouns.
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