首页> 外文会议>Linguistic resources for automatic natural language generation workshop >Using Electronic Dictionaries and NooJ to Generate Sentences Containing English Phrasal Verbs
【24h】

Using Electronic Dictionaries and NooJ to Generate Sentences Containing English Phrasal Verbs

机译:使用电子词典和nooj生成包含英文短语动词的句子

获取原文

摘要

This paper attempts to explore NooJ's "generation" mode to automatically produce transformations of sentences containing English Phrasal Verbs (PV). We exploit the same electronic dictionary and grammar previously used to recognize PV in large corpora (Machonis 2010, 2012), but have had to design a specific grammar for generating sentences, following the examples in Silberztein (2016), which showed how NooJ could generate over two million transformations or parallel sentences from the simple sentence Joe likes Lea. We created a grammar that can generate variations of a single phrase containing one of the PV found in the NooJ PV dictionary. For the moment the grammar only handles singular nouns in the present and past tense, but it is capable of applying a succession of transformations - particle movement, preterit, negation, clefting, modal insertion, aspect introduction, question formation, and passive voice, along with various combinations of these transformations - to over 1,200 PV from the electronic dictionary.
机译:本文试图探索Nooj的“代”模式,以自动产生包含英文短语动词(PV)的句子的转换。我们利用以前用于识别PV的相同的电子词典和语法在大公司(Machonis 2010,2012),但在Silberztein(2016)中的示例之后,必须设计一个用于生成句子的特定语法,这显示了NoOJ如何生成来自简单句子Joe喜欢Lea的超过两百万个变换或平行句子。我们创建了一个语法,可以生成包含Nooj PV字典中的一个PV的单个短语的变体。目前,语法只处理当前和过去时的单数名词,但它能够应用连续的转换 - 粒子运动,喷射,否定,线谱,模态插入,方面引入,问题形成,以及被动的声音这些变换的各种组合 - 来自电子词典的超过1,200pv。

著录项

相似文献

  • 外文文献
  • 中文文献
  • 专利
获取原文

客服邮箱:kefu@zhangqiaokeyan.com

京公网安备:11010802029741号 ICP备案号:京ICP备15016152号-6 六维联合信息科技 (北京) 有限公司©版权所有
  • 客服微信

  • 服务号