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ANACONJ Analyzer of the Conjunction AND in Spanish Using Syntactic Patterns and Semantic Frames

机译:ANACONJ连词和西班牙语的分析器,使用句法模式和语义框架

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摘要

Conjunctions have different interpretations: they eliminate redundancies: "Maria se bano y se peino" (Maria bathed and she combed her hair), unite different ideas: "Hoy llovio y no fui a corer" (Today it rained and I did not go to run) and use of lists: "Eran Alma, Edith y Omar" (They were Alma, Edith and Omar). Conjunctions take different semantic contexts. We understand each other because of the common sense despite expressing ourselves incorrectly from the standpoint of semantics, but for a computer it is difficult. In order to "understand" the sentences, the machine must solve semantics problems; this article exposes one of these problems. ANACONJ is an algorithm of pattern recognition of texts, which uses rules and syntactic patterns that analyze each word of a sentence in a phrase, identifying those sentences with conjunctions to build a semantic tree of the sentence where the conjunction connects words (nouns, verbs, etc.) according to their meaning. ANACONJ could be used as a teaching Spanish software tool and as an app for a service robot too.
机译:连词有不同的解释:它们消除了重复:“ Maria se bano y se peino ”(Maria洗完澡,她梳理了头发),团结了不同的想法:“ Holy llovio y no fui a corer ”(今天下雨了,我没有运行)并使用以下列表:“ Eran Alma,Edith和Omar ”(他们是Alma,Edith和Omar)。连词采用不同的语义上下文。尽管我们从语义的角度错误地表达了自己,但由于常识我们还是相互理解的,但是对于计算机来说却很困难。为了“理解”句子,机器必须解决语义问题。本文揭示了这些问题之一。 ANACONJ是一种文本模式识别算法,该算法使用规则和句法模式来分析短语中某个句子的每个单词,并通过连接词识别这些句子,从而构建该句子将单词(名词,动词,等)。 ANACONJ可以用作教学西班牙语软件工具,也可以用作服务机器人的应用程序。

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