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机器人互动式语言学习:从牙牙学语到单词形式的转变。

Interactive language learning by robots: the transition from babbling to word forms.

机构信息

Adaptive Systems Research Group, University of Hertfordshire, Hertfordshire, United Kingdom.

出版信息

PLoS One. 2012;7(6):e38236. doi: 10.1371/journal.pone.0038236. Epub 2012 Jun 13.

Abstract

The advent of humanoid robots has enabled a new approach to investigating the acquisition of language, and we report on the development of robots able to acquire rudimentary linguistic skills. Our work focuses on early stages analogous to some characteristics of a human child of about 6 to 14 months, the transition from babbling to first word forms. We investigate one mechanism among many that may contribute to this process, a key factor being the sensitivity of learners to the statistical distribution of linguistic elements. As well as being necessary for learning word meanings, the acquisition of anchor word forms facilitates the segmentation of an acoustic stream through other mechanisms. In our experiments some salient one-syllable word forms are learnt by a humanoid robot in real-time interactions with naive participants. Words emerge from random syllabic babble through a learning process based on a dialogue between the robot and the human participant, whose speech is perceived by the robot as a stream of phonemes. Numerous ways of representing the speech as syllabic segments are possible. Furthermore, the pronunciation of many words in spontaneous speech is variable. However, in line with research elsewhere, we observe that salient content words are more likely than function words to have consistent canonical representations; thus their relative frequency increases, as does their influence on the learner. Variable pronunciation may contribute to early word form acquisition. The importance of contingent interaction in real-time between teacher and learner is reflected by a reinforcement process, with variable success. The examination of individual cases may be more informative than group results. Nevertheless, word forms are usually produced by the robot after a few minutes of dialogue, employing a simple, real-time, frequency dependent mechanism. This work shows the potential of human-robot interaction systems in studies of the dynamics of early language acquisition.

摘要

仿人机器人的出现为研究语言习得开辟了新途径,我们报告了能够掌握基本语言技能的机器人的开发情况。我们的工作重点是类似于 6 至 14 个月大的人类婴儿的早期阶段,即从咿呀学语到第一语言形式的过渡。我们研究了许多可能促成这一过程的机制之一,其中一个关键因素是学习者对语言元素的统计分布的敏感性。除了对学习词义是必要的之外,锚定词形式的习得还通过其他机制促进了音流的分割。在我们的实验中,一些显著的单音节词形式是由仿人机器人在与天真的参与者实时交互中实时学习的。单词通过基于机器人和人类参与者之间对话的学习过程从随机音节咿呀学语中出现,参与者的语音被机器人感知为音素流。将语音表示为音节段的方式有很多种。此外,许多单词在自然语音中的发音是可变的。然而,与其他地方的研究一致,我们观察到显著的内容词比功能词更有可能具有一致的规范表示;因此,它们的相对频率增加,对学习者的影响也增加。可变发音可能有助于早期词形习得。教师和学习者之间实时的 contingent 交互的重要性反映在一个具有可变成功的强化过程中。对个别案例的检查可能比群体结果更有意义。然而,经过几分钟的对话,机器人通常会使用简单的实时频率相关机制来生成词形。这项工作展示了人机交互系统在早期语言习得动态研究中的潜力。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/8f5c/3374830/29201e4cfdb9/pone.0038236.g001.jpg

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