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Deciphering Latin sentences using traditional linguistic resources

机译:使用传统语言资源破译拉丁语句子

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摘要

This article describes methods that can be used to construct a Latin morphological and syntactic parser, including resources that enable reordering the sentence according to the SVO (subject + verb + object) standard order, aiming to facilitate the translation of Latin phrases by users. The article also addresses the solutions that can be implemented to overcome some of the problems found in this context, namely, the difficulties in accessing different forms of dictionarization, the lack of lexicographic resources, and a methodology for processing the 'special constructions' required by adverbs and adjectives.
机译:本文介绍了可用于构建拉丁语形态和句法解析器的方法,包括能够根据 SVO(主语 + 动词 + 宾语)标准顺序对句子进行重新排序的资源,旨在促进用户对拉丁语短语的翻译。本文还讨论了可以实施的解决方案,以克服在这种情况下发现的一些问题,即访问不同形式的词典的困难,缺乏词典资源,以及处理副词和形容词所需的“特殊结构”的方法。

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  • 来源
    《digital scholarship in the humanities》 |2019年第4期|791-805|共15页
  • 作者单位

    Univ Evora, Dept Linguist & Literaturas, Evora, Portugal;

    Ctr Estudos Class & Humanist, Coimbra, Portugal;

    Univ Evora, Dept Informat, Evora, PortugalLab Informat Sistemas & Paralelismo, Evora, Portugal;

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  • 正文语种 英语
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