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A method for measuring verb similarity for two closely related languages with application to Zulu and Xhosa

机译:一种用应用于祖鲁和Xhosa的两个密切相关语言的动词相似性的方法

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There are limited computational resources for Nguni languages and when improving availability for one of the languages, bootstrapping from a related language’s resources may be a cost-saving approach. This requires the ability to quantify similarity between any two closely related languages so as to make informed decisions, of which it is unclear how to measure it. We devised a method for quantifying similarity by adapting four extant similar measures, and present a method of quantifying the ratio of verbs that would need phonological conditioning due to consecutive vowels. The verbs selected are those relevant for weather forecasts for Xhosa and Zulu and newly specified as computational grammar rules. The 52 Xhosa and 49 Zulu rules share 42 rules, supporting informal impressions of their similarity. The morphosyntactic similarity reached 59.5% overall on the adapted Driver-Kroeber metric, with past tense rules only at 99.5%. This similarity score is a result of the variation in terminals mainly for the prefix of the verb.
机译:NGUNI语言的计算资源有限,并且在提高其中一种语言的可用性时,从相关语言的资源引导可能是一种成本节省成本的方法。这需要能够量化任何两个密切相关的语言之间的相似性,以便做出明智的决策,其中不清楚如何衡量它。我们设计了一种通过调整四个现存类似措施来量化相似性的方法,并呈现了量化由于连续元音引起的动词的动词的比率的方法。选择的动词是与Xhosa和Zulu的天气预报有关的动词,并且新指定为计算语法规则。 52 xhosa和49祖鲁规则共享42项规则,支持其相似性的非正式印象。适用的驾驶员 - Kroeber公制,形态学相似性总体上达到59.5%,过去的紧张规则仅为99.5%。这种相似度分数是终端的变化主要用于动词前缀的终端。

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