转换概率和词长期待对语音统计学习的影响

语音统计学习指个体在加工人工语言过程中, 可以追踪音节间的转换概率实现切分语流、提取词(语)的过程。本研究采用2(转换概率：高转换概率、低转换概率) × 2(词长期待：两音节、三音节)的混合实验设计来考察转换概率和词长期待对语音统计学习的影响, 转换概率是被试间变量, 词长期待是被试内变量。事后检验发现, 仅在低转换概率人工语言的三音节迫选条件下, 被试没有表现出显著的学习效果。事先对比发现, 在学习低转换概率的人工语言后, 被试完成三音节迫选试次的成绩显著低于两音节迫选试次; 在三音节迫选试次中, 学习低转换概率人工语言被试的成绩也显著低于学习高转换概率被试的成绩。以上结果说明, 转换概率和词长期待共同影响个体语音统计学习的效果。     

口语加工中的词语切分线索

词是语言的基本结构单位, 对词语进行切分是语言加工的重要步骤。口语语流中的切分线索来自于语音、语义和语法三个方面。语音线索包括概率信息、音位配列规则和韵律信息, 韵律信息中还包括词重音、时长和音高等内容, 这些线索的使用在接触语言的早期阶段就逐渐被个体所掌握, 而且在不同的语言背景下有一定的特异性。语法和语义线索属于较高级的线索机制, 主要作用于词语切分过程的后期。后续研究应从语言的毕生发展和语言的特异性两个方面考察口语语言加工中的词语切分线索。     

词素位置概率在中文阅读中的作用：词汇判断和眼动研究

中文词切分的认知机制一直是心理语言学关注的焦点问题之一,研究发现中文读者可使用词素位置概率等语言学线索帮助词切分,而首、尾词素位置概率的重要程度以往研究观点并不一致。本研究通过词汇判断和眼动实验,考察中文读者对首、尾词素位置概率的利用情况。实验1a和1b采用词汇判断任务,考察在不同词频条件下词首与词尾词素位置概率对词汇识别的影响。在错误率和反应时指标上,高频词条件下词首与词尾词素位置概率效应不显著;低频词条件下词首词素位置概率效应显著,词尾词素位置概率效应不显著。实验2a和2b采用句子阅读任务,考察在自然阅读情境中被试对词素位置概率的运用。在凝视时间、回视路径时间和总注视时间指标上,低频词条件下词首词素位置概率效应显著,词尾词素位置概率效应不显著。高频词条件下词首与词尾词素位置概率效应均不显著。词汇判断和眼动证据共同表明,词素位置概率信息是中文读者重要的语言词切分线索,且与词尾词素位置概率相比,词首词素位置概率在词汇切分与识别过程中发挥的作用更大。同时,词素位置概率线索的运用会受到词频的影响,研究结果支持复合词加工的混合通达表征模型。     

首词素位置概率信息未参与汉语阅读的词切分：基于副中央凹加工的证据

本研究采用边界范式,考察汉语阅读中读者是否在副中央凹处利用首词素的位置概率信息进行词切分和词识别。采用2（首词素位置概率：高、低）×２（预视类型：相同预视、假字预视）的被试内实验设计,以双字词为目标词,记录大学生阅读句子时的眼动轨迹。结果发现,在跳读率和第一遍阅读的眼动指标中,被试在高、低首词素位置概率条件中获得的预视效益量无显著差异。该结果表明,读者并未在副中央凹处加工首词素的位置概率信息。结合前期研究推断,首词素位置概率信息没有作用于汉语阅读的词切分和词识别。     

风险偏好、信息完整性对职业决策信息加工的影响

本研究旨在探讨个体风险偏好如何影响信息加工过程;同时呈现信息的完整性是否影响个体信息加工过程。以31名正在求职的大学生为被试,探讨了他们在信息板上进行职业决策的信息加工过程。结果显示：(1) 低风险偏好者比高风险偏好者更关注与概率相关的线索;(2) 当信息不完整时,个体在决策中增加了对概率相关线索的关注;(3) 信息完整性对个体决策信息加工过程并未产生显著的影响。     

语言经验可以改变双语者的主导语言

使用语义启动词汇判断范式,研究维吾尔语-汉语和朝鲜语-汉语大学生双语者词汇加工的模式如何受语言经验的影响.实验一表明,维汉双语者既存在语言内、也存在语言间的语义启动效应.不管目标词是维吾尔语还是汉语,以维吾尔语(母语)为启动词的效应要大于以汉语为启动词的效应.实验二表明,朝汉双语者语言内产生了类似大小的效应;但当目标词是汉语、启动词是朝鲜语时,却没有启动效应.进一步的问卷调查表明,朝汉双语被试虽在小学和中学阶段听说和阅读母语的概率大于听说和阅读汉语,但在大学阶段却是汉语占优势;维汉双语被试在小学、中学、大学时的口头语言都是母语占优势;虽然他们在大学阶段阅读汉语的概率要大于母语,但两者的差异要明显小于朝汉双语被试.这些结果说明,语言经验可以改变词汇形式表征的加工速率以及从形式表征出发激活词汇意义的模式,从而使得第二语言有可能取代母语而上升为主导语言.     

汉语阅读过程中词切分的位置：一项基于眼动随动显示技术的研究

采用眼动随动显示技术, 通过分析动态协助或干扰词切分对阅读过程的影响, 考察汉语阅读过程中词切分的位置与数量。包括两项实验：实验一通过改变注视点附近词语的颜色来促进词汇的加工进程, 发现协助词n+1切分可改变被试的眼动模式, 说明至少加工词n+1可导致词切分效果; 实验二以类似方法干扰相应的词汇加工进程, 发现在某些实验条件下被试的眼动模式朝相反方向变化, 表明实验一结果并非由外源注意转移引起。综合分析两个实验中各种条件下首次注视概率分布、再注视时的首次注视时间和单一注视时间的差异, 得出以下结论：在汉语阅读中存在两种词切分现象, 一种由加工词n+1引起, 另一种由加工词n引起。     

不同理解能力的个体在词汇加工中的抑制机制

该研究根据多媒语言理解测试,筛选出汉语综合语言理解能力高、低不同的两组被试,通过两个实验,以自控速移动窗口阅读与选择性再认相结合的实验范式,考察了两组被试在理解加工汉语双字词的过程中抑制外在干扰信息的能力。结果表明：(1)干扰材料的性质影响抑制机制的效率;(2)语言理解能力不同的个体在抑制机制上存在差异;(3)在干扰强度不同的条件下,自控速对低理解能力者抑制机制的改善作用也不同。     

社交焦虑个体对于不同威胁信息的注意偏向

目的:研究社交焦虑个体对不同类型词语的注意偏向。方法:被试41名,采用情绪Stroop范式,研究词与非词不同比例条件下高低社交焦虑个体对不同类型词(被关注词、被评价词、躯体威胁性词、中性词和非词)的注意偏向。结果:在词和非词比例高的条件下,高社交焦虑组在负性评价词和受他人关注词上的Stroop效应显著大于低社交焦虑组。结论:高社交焦虑个体对负性评价和他人关注的词语存在注意偏向。     

新词词素熟悉性影响视觉词切分线索在新词学习中的促进作用

为考察词素熟悉性是否会影响视觉词切分线索在新词学习中的作用,本研究中新词由两类假词构成：第一类假词由两个高频字（高熟悉性词素）组成,第二类假词由两个低频字（低熟悉性词素）组成。实验采用学习-测试范式,将新词镶嵌在句子中供大学生被试阅读。结果发现,相比由低熟悉性词素构成的新词,词间空格在由高熟悉词素构成的新词中起到的促进作用更大。表明在汉语阅读过程中,词素熟悉性可能作为一种线索参与词切分。     

When cues collide: use of stress and statistical cues to word boundaries by 7- to 9-month-old infants

Prior research suggests that stress cues are particularly important for English-hearing infants' detection of word boundaries. It is unclear, though, how infants learn to attend to stress as a cue to word segmentation. This series of experiments was designed to explore infants' attention to conflicting cues at different ages. Experiment 1 replicated previous findings: When stress and statistical cues indicated different word boundaries, 9-month-old infants used syllable stress as a cue to segmentation while ignoring statistical cues. However, in Experiment 2, 7-month-old infants attended more to statistical cues than to stress cues. These results raise the possibility that infants use their statistical learning abilities to locate words in speech and use those words to discover the regular pattern of stress cues in English. Infants at different ages may deploy different segmentation strategies as a function of their current linguistic experience.     

The link between statistical segmentation and word learning in adults

Many studies have shown that listeners can segment words from running speech based on conditional probabilities of syllable transitions, suggesting that this statistical learning could be a foundational component of language learning. However, few studies have shown a direct link between statistical segmentation and word learning. We examined this possible link in adults by following a statistical segmentation exposure phase with an artificial lexicon learning phase. Participants were able to learn all novel object-label pairings, but pairings were learned faster when labels contained high probability (word-like) or non-occurring syllable transitions from the statistical segmentation phase than when they contained low probability (boundary-straddling) syllable transitions. This suggests that, for adults, labels inconsistent with expectations based on statistical learning are harder to learn than consistent or neutral labels. In contrast, a previous study found that infants learn consistent labels, but not inconsistent or neutral labels.     

Speech segmentation by statistical learning is supported by domain-general processes within working memory

The purpose of this study was to examine the extent to which working memory resources are recruited during statistical learning (SL). Participants were asked to identify novel words in an artificial speech stream where the transitional probabilities between syllables provided the only segmentation cue. Experiments 1 and 2 demonstrated that segmentation performance improved when the speech rate was slowed down, suggesting that SL is supported by some form of active processing or maintenance mechanism that operates more effectively under slower presentation rates. In Experiment 3 we investigated the nature of this mechanism by asking participants to perform a two-back task while listening to the speech stream. Half of the participants performed a two-back rhyme task designed to engage phonological processing, whereas the other half performed a comparable two-back task on un-nameable visual shapes. It was hypothesized that if SL is dependent only upon domain-specific processes (i.e., phonological rehearsal), the rhyme task should impair speech segmentation performance more than the shape task. However, the two loads were equally disruptive to learning, as they both eradicated the benefit provided by the slow rate. These results suggest that SL is supported by working-memory processes that rely on domain-general resources.     

The role of perceptual salience during the segmentation of connected speech

Statistical learning allows listeners to track transitional probabilities among syllable sequences and use these probabilities for subsequent speech segmentation. Recent studies have shown that other sources of information, such as rhythmic cues, can modulate the dependencies extracted via statistical computation. In this study, we explored how syllables made salient by a pitch rise affect the segmentation of trisyllabic words from an artificial speech stream by native speakers of three different languages (Spanish, English, and French). Results showed that, whereas performance of French participants did not significantly vary across stress positions (likely due to language-specific rhythmic characteristics), the segmentation performance of Spanish and English listeners was unaltered when syllables in word-initial and word-final positions were salient, but it dropped to chance level when salience was on the medial syllable. We argue that pitch rise in word-medial syllables draws attentional resources away from word boundaries, thus decreasing segmentation effectiveness.     

Statistical learning of tone sequences by human infants and adults

Previous research suggests that language learners can detect and use the statistical properties of syllable sequences to discover words in continuous speech (e.g. Aslin, R.N., Saffran, J.R., Newport, E.L., 1998. Computation of conditional probability statistics by 8-month-old infants. Psychological Science 9, 321-324; Saffran, J.R., Aslin, R.N., Newport, E.L., 1996. Statistical learning by 8-month-old infants. Science 274, 1926-1928; Saffran, J., R., Newport, E.L., Aslin, R.N., (1996). Word segmentation: the role of distributional cues. Journal of Memory and Language 35, 606-621; Saffran, J.R., Newport, E.L., Aslin, R.N., Tunick, R.A., Barrueco, S., 1997. Incidental language learning: Listening (and learning) out of the corner of your ear. Psychological Science 8, 101-195). In the present research, we asked whether this statistical learning ability is uniquely tied to linguistic materials. Subjects were exposed to continuous non-linguistic auditory sequences whose elements were organized into 'tone words'. As in our previous studies, statistical information was the only word boundary cue available to learners. Both adults and 8-month-old infants succeeded at segmenting the tone stream, with performance indistinguishable from that obtained with syllable streams. These results suggest that a learning mechanism previously shown to be involved in word segmentation can also be used to segment sequences of non-linguistic stimuli.     

Exclusion constraints facilitate statistical word learning

The roles of linguistic, cognitive, and social-pragmatic processes in word learning are well established. If statistical mechanisms also contribute to word learning, they must interact with these processes; however, there exists little evidence for such mechanistic synergy. Adults use co-occurrence statistics to encode speech-object pairings with detailed sensitivity in stochastic learning environments (Vouloumanos, 2008). Here, we replicate this statistical work with nonspeech sounds and compare the results with the previous speech studies to examine whether exclusion constraints contribute equally to the statistical learning of speech-object and nonspeech-object associations. In environments in which performance could benefit from exclusion, we find a learning advantage for speech over nonspeech, revealing an interaction between statistical and exclusion processes in associative word learning.     

A taste of words: linguistic context and perceptual simulation predict the modality of words

Previous studies have shown that object properties are processed faster when they follow properties from the same perceptual modality than properties from different modalities. These findings suggest that language activates sensorimotor processes, which, according to those studies, can only be explained by a modal account of cognition. The current paper shows how a statistical linguistic approach of word co-occurrences can also reliably predict the category of perceptual modality a word belongs to (auditory, olfactory-gustatory, visual-haptic), even though the statistical linguistic approach is less precise than the modal approach (auditory, gustatory, haptic, olfactory, visual). Moreover, the statistical linguistic approach is compared with the modal embodied approach in an experiment in which participants verify properties that share or shift modalities. Response times suggest that fast responses can best be explained by the linguistic account, whereas slower responses can best be explained by the embodied account. These results provide further evidence for the theory that conceptual processing is both linguistic and embodied, whereby less precise linguistic processes precede precise simulation processes.     

A computational model of word segmentation from continuous speech using transitional probabilities of atomic acoustic events

Word segmentation from continuous speech is a difficult task that is faced by human infants when they start to learn their native language. Several studies indicate that infants might use several different cues to solve this problem, including intonation, linguistic stress, and transitional probabilities between subsequent speech sounds. In this work, a computational model for word segmentation and learning of primitive lexical items from continuous speech is presented. The model does not utilize any a priori linguistic or phonemic knowledge such as phones, phonemes or articulatory gestures, but computes transitional probabilities between atomic acoustic events in order to detect recurring patterns in speech. Experiments with the model show that word segmentation is possible without any knowledge of linguistically relevant structures, and that the learned ungrounded word models show a relatively high selectivity towards specific words or frequently co-occurring combinations of short words.     

The statistical signature of morphosyntax: A study of Hungarian and Italian infant-directed speech

Does statistical learning (Saffran, Aslin, &; Newport, 1996) offer a universal segmentation strategy for young language learners? Previous studies on large corpora of English and structurally similar languages have shown that statistical segmentation can be an effective strategy. However, many of the world’s languages have richer morphological systems, with sometimes several affixes attached to a stem (e.g. Hungarian: iskoláinkban: iskolá-i-nk-ban school.pl.poss1pl.inessive ‘in our schools’). In these languages, word boundaries and morpheme boundaries do not coincide. Does the internal structure of words affect segmentation? What word forms does segmentation yield in morphologically rich languages: complex word forms or separate stems and affixes? The present paper answers these questions by exploring different segmentation algorithms in infant-directed speech corpora from two typologically and structurally different languages, Hungarian and Italian. The results suggest that the morphological and syntactic type of a language has an impact on statistical segmentation, with different strategies working best in different languages. Specifically, the direction of segmentation seems to be sensitive to the affixation order of a language. Thus, backward probabilities are more effective in Hungarian, a heavily suffixing language, whereas forward probabilities are more informative in Italian, which has fewer suffixes and a large number of phrase-initial function words. The consequences of these findings for potential segmentation and word learning strategies are discussed.