调查在MT与人类相互作用中的语法原始化累积效应
1Haddad Assistant Professor in Literary Translation, Trinity Centre for Literary and Cultural Translation, Trinity College Dublin, Dublin, Ireland.
Open research Europe
|February 19, 2024
概括
英语学习者无意识地从谷歌神经机器翻译 (GNMT) 中学习新的语法结构. 持续接触GNMT输出显示了L2英语学习中的累积学习效应.
科学领域:
- 获得第二语言的学习.
- 计算语言学 计算语言学
- 心理语言学 心理语言学
背景情况:
- 研究谷歌神经机器翻译 (GNMT) 对英语学习者 (ELLs) 的影响.
- 检查了具有挑战性的英语语法结构的获取,这些结构与学习者的母语不同.
研究的目的:
- 为了确定与GNMT的互动是否会影响L2英语学习者的特定语法结构的产生.
- 评估持续暴露于GNMT输出的语法原始化和累积效应.
主要方法:
- 在图像描述上测试了30名巴西葡萄牙语L2英语说者.
- 分析了使用前置名词短语与GNMT影响的占有结构的使用.
- 通过持续接触谷歌翻译输出,对L2结构进行了测量适应.
主要成果:
- 在L2英语学习者中表现出强大的语法启动效应.
- 观察到一个显著的累积效应,表明随着时间的推移适应.
结论:
- GNMT输出可以显著影响L2英语学习者的语言行为.
- 通过与GNMT的持续互动,ELL无意识地获得并适应新的语法结构.
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