Word Segmentation Across Two Languages Via Statistical Learning

统计学习是指跟踪周围环境的感官输入的规律模式的能力。鉴于其规律性和层次结构，语言本质上是一个基于模式的系统，因此研究人员认为统计学习是语言习得的基础。事实上，年幼的婴儿和成人可以通过跟踪音节共现概率并在此基础上提取单词来找到人工语言中的单词。然而，先前的研究主要集中在学习者是否能够统计性地从单一语言中分割单词；学习者是否能够从两种人工语言中分割单词仍然很大程度上未知。鉴于双语在全球的盛行，有必要进行双输入分割。一些研究表明，在强大的特定于说话者的上下文线索（即每种语言与不同的人配对）的支持下，学习者可以成功地分割两种重叠的人工语言。然而，本质上，一个双语个体必须在两种不同的语言之间交替，有时甚至在一次对话中（即语码转换）。因此，探索单个人语音中的语音上下文线索是否可以促进两种人工语言的成人分割非常重要。因此，我们将检查成人和婴儿学习者，回答三个问题：（i）学习者能否利用单个人的语音中的语音线索从两种人工语言中成功地分割单词？ 2）双语者的表现是否优于单语者？ 3) 认知能力或双语经验等特定因素是否构成跨两种语言分词的潜在双语优势？在我们的第一组研究中，我们研究了成人学习者通常是否可以利用法语和英语语音提示来分割两种重叠的人工语言中的单词。试点数据表明基于某些音素和同时双语优势的局限性。因此，我们建议通过一系列实验来测试同时多语言者，使用更显着的音素差异，并使用非母语语音线索，以充分探索成年人在新环境中处理信息的灵活性以及他们对标记语言输入变化的微妙线索的敏感性。此外，我们将探讨成人的认知能力是否与学习者的细分表现相关。在第二组研究中，我们将在适合婴儿的双输入分割任务中，使用相同的法语口音和英语口音人工语言刺激来测试 9、11 和 13 个月的婴儿。这种发展方法将测试婴儿期是否会出现双语优势。此外，我们将再次使用执行功能任务来测试认知技能，以探索细分和认知能力之间的关系。

Statistical learning refers to the ability to track regular patterns in sensory input from ambient environments. Given its regularities and hierarchical structures, language is essentially a pattern-based system and therefore researchers have argued that statistical learning is fundamental to language acquisition. Indeed, young infants and adults can find words in artificial languages by tracking syllable co-occurrence probabilities and extracting words on that basis. However, prior studies have mainly focused on whether learners can statistically segment words from a single language; whether learners can segment words from two artificial languages remains largely unknown. Given the global prevalence of bilingualism, it is necessary to dual-input segmentation. Some studies have demonstrated that learners succeed in segmenting two overlapping artificial languages when supported by strong speaker-specific contextual cues (i.e., each language paired with a different person). However, by nature, a single bilingual individual has to alternate between two distinct languages, sometimes even in one conversation (i.e., code-switching). It is therefore important to explore whether phonetic contextual cues in a single individual's speech can facilitate adult segmentation of two artificial languages. Therefore, we will examine adult and infant learners to answer three questions: (i) Can learners make use of phonetic cues within a single individual's speech to segment words successfully from two artificial languages?; 2) Do bilinguals outperform monolinguals?; and 3) Do specific factors, such as cognitive ability or bilingual experience, underlie any potential bilingual advantage in word segmentation across two languages? In our first group of studies, we examine if adult learners generally could make use of French and English phonetic cues to segment words from two overlapping artificial languages. Pilot data indicated limitations based on certain phonemes and a simultaneous bilingual advantage. We therefore propose to test simultaneous multilinguals, use more salient phoneme differences, and use non-native phonetic cues across a series of experiments to fully explore adults' flexibility in processing information in new environments and their sensitivity to subtle cues that mark the changes of language inputs. Further, we will explore if adults' cognitive abilities are related to learners' segmentation performance. In the second set of studies, we will test infants of 9, 11, and 13 months on the same French-accented versus English-accented artificial language stimuli in a dual input segmentation task adapted for infants. This developmental approach will test if any bilingual advantages emerge in infancy. Further, we will again test cognitive skills using a executive functioning task to explore any relationship between segmentation and cognitive ability.