Incorporating Memory Processes in the Study of Early Language Acquisition

Critical to the learning of any language is the learning of the words in that language. Therefore, an extensive amount of research in language development has examined how infants learn the words of their language so rapidly. In particular, research on statistical learning has suggested that sequential statistics may play a vital role in the discovery of candidate words, that become available to be mapped to meaning. One important limitation of this previous research is the lack of attention given to the memory processes involved in statistical word learning. Thus, the current set of experiments examine the availability of statistically defined words as object labels after a delay. To examine whether statistics found in speech supports infants’ memory for label-object associations, in Experiment 1, 22- to 24-month-old infants were presented with 12 Italian sentences that contained 2 high transitional probability words (HTP) and 2 low transitional probability words (LTP). Ten-minute after familiarization, using a Looking-While-Listening procedure (Fernald et al., 2008), infants were trained and tested on 2 HTP and 2 LTP label-object associations. Results revealed that infants were able to learn HTP but not LTP words, suggesting that HTP words make better labels for objects after a minimal delay. Experiment 2 examined infants’ memory for meaning representations that are statistically defined or not. Stimuli and procedure were identical to that of Experiment 1, except that the 10-minute delay was implemented after the referent training phase instead of after the familiarization phase. Infants in Experiment 2 were able to remember both HTP and LTP words when tested following a 10-min delay. Together, the findings suggest that statistical learning facilitates future word learning

Children retain implicitly learned phonological sequences better than adults: A longitudinal study

This is the peer reviewed version of the following article: Eleonore H. M. Smalle, Mike P. A. Page, Wouter Duyck, Martin Edwards, and Arnaud Szmalec, 'Children retain implicitly learned phonological sequences better than adults: a longitudinal study', Developmental Science, December 2017, which has been published in final form at DOI: 10.1111/desc.12634. Under embargo until 17 December 2018. This article may be used for non-commercial purposes in accordance with Wiley Terms and Conditions for Self-Archiving.Whereas adults often rely on explicit memory, children appear to excel in implicit memory, which plays an important role in the acquisition of various cognitive skills, such as those involved in language. The current study aimed to test the assertion of an age-dependent shift in implicit versus explicit learning within a theoretical framework that explains the link between implicit sequence memory and word-form acquisition, using the Hebb repetition paradigm. We conducted a one-year, multiple-session longitudinal study in which we presented auditory sequences of syllables, co-presented with pictures of aliens, for immediate serial recall by a group of children (8–9 years) and by an adult group. The repetition of one Hebb sequence was explicitly announced, while the repetition of another Hebb sequence was unannounced and, therefore, implicit. Despite their overall inferior recall performance, the children showed better offline retention of the implicit Hebb sequence, compared with adults who showed a significant decrement across the delays. Adults had gained more explicit knowledge of the implicit sequence than children, but this could not explain the age-dependent decline in the delayed memory for it. There was no significant age-effect for delayed memory of the explicit Hebb sequence, with both age groups showing retention. Overall performance by adults was positively correlated with measures of post-learning awareness. Performance by children was positively correlated with vocabulary knowledge. We conclude that children outperform adults in the retention over time of implicitly learned phonological sequences that will gradually consolidate into novel word-forms. The findings are discussed in the light of maturational differences for implicit versus explicit memory systems that also play a role in language acquisition. A video abstract of this article can be viewed at: https://youtu.be/G5nOfJB72t4.Peer reviewedFinal Accepted Versio

More is more in language learning:reconsidering the less-is-more hypothesis

The Less-is-More hypothesis was proposed to explain age-of-acquisition effects in first language (L1) acquisition and second language (L2) attainment. We scrutinize different renditions of the hypothesis by examining how learning outcomes are affected by (1) limited cognitive capacity, (2) reduced interference resulting from less prior knowledge, and (3) simplified language input. While there is little-to-no evidence of benefits of limited cognitive capacity, there is ample support for a More-is-More account linking enhanced capacity with better L1- and L2-learning outcomes, and reduced capacity with childhood language disorders. Instead, reduced prior knowledge (relative to adults) may afford children with greater flexibility in inductive inference; this contradicts the idea that children benefit from a more constrained hypothesis space. Finally, studies of childdirected speech (CDS) confirm benefits from less complex input at early stages, but also emphasize how greater lexical and syntactic complexity of the input confers benefits in L1-attainment

AN EXAMINATION OF CONCURRENT DISCRIMINATION LEARNING WITHIN INDIVIDUALS WITH PARKINSON’S DISEASE

The main focus of this research is to further understand memory formation by examining the role of the basal ganglia in learning. Broadly, this study examines how the basal ganglia may play a role in a task that has been associated with declarative memory mechanisms, in this case the concurrent discrimination task (CDT). Specifically, we examine how performance is affected on the CDT when structures of the basal ganglia are compromised by recruiting individuals with Parkinson’s disease (PD). Past work examining the performance of individuals with PD on a CDT have had contradicting results and have proposed that participants may adopt different strategies that rely variously either on declarative or non-declarative strategy (Moody et. al., 2010). We aimed to reduce strategy differences by making changes in stimuli, increasing the number of stimuli significantly, increasing the number of learning blocks, and making all participants explicitly aware of the task structure and goals. By making the goals explicit, we predicted that we would engage a declarative mechanism in both PD and control individuals. To examine declarative memory formation we used the Remember Know task (RK). However, since used a significantly larger set size of stimuli we hypothesized that individuals with PD would perform significantly worse on the CDT than control individuals. The current study reveals that there are no significant differences in performance between individuals with PD and control participants on both the CDT and RK task. We attribute these results to design of our paradigm and stimuli which may have influenced individuals to engage in declarative strategies to perform the CDT reasonably well

The benefits of targeted memory reactivation for consolidation in sleep are contingent on memory accuracy and direct cue-memory associations

Objectives: To investigate how the effects of targeted memory reactivation (TMR) are influenced by memory accuracy prior to sleep and the presence or absence of direct cue-memory associations. Methods: 30 participants associated each of 50 pictures with an unrelated word and then with a screen location in two separate tasks. During picture-location training, each picture was also presented with a semantically related sound. The sounds were therefore directly associated with the picture locations but indirectly associated with the words. During a subsequent nap, half of the sounds were replayed in slow wave sleep (SWS) (TMR). The effect of TMR on memory for the picture locations (direct cue-memory associations) and picture-word pairs (indirect cue-memory associations) was then examined. Results: TMR reduced overall memory decay for recall of picture locations. Further analyses revealed a benefit of TMR for picture locations recalled with a low degree of accuracy prior to sleep, but not those recalled with a high degree of accuracy. The benefit of TMR for low accuracy memories was predicted by time spent in SWS. There was no benefit of TMR for memory of the picture-word pairs, irrespective of memory accuracy prior to sleep. Conclusions: TMR provides the greatest benefit to memories recalled with a low degree of accuracy prior to sleep. The memory benefits of TMR may also be contingent on direct cue-memory associations

Testing a word is not a test of word learning

Although vocabulary acquisition requires children learn names for multiple things, many investigations of word learning mechanisms teach children the name for only one of the objects presented. This is problematic because it is unclear whether children's performance reflects recall of the correct name-object association or simply selection of the only object that was singled out by being the only object named. Children introduced to one novel name may perform at ceiling as they are not required to discriminate on the basis of the name per se, and appear to rapidly learn words following minimal exposure to a single word. We introduced children to four novel objects. For half the children, only one of the objects was named and for the other children, all four objects were named. Only children introduced to one word reliably selected the target object at test. This demonstration highlights the over-simplicity of one-word learning paradigms and the need for a shift in word learning paradigms where more than one word is taught to ensure children disambiguate objects on the basis of their names rather than their degree of salience

Literacy improves short-term serial recall of spoken verbal but not visuospatial items - Evidence from illiterate and literate adults

© 2019 Elsevier B.V. This manuscript is made available under the terms of the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 International licence (CC BY-NC-ND 4.0). For further details please see: https://creativecommons.org/licenses/by-nc-nd/4.0/It is widely accepted that specific memory processes, such as serial-order memory, are involved in written language development and predictive of reading and spelling abilities. The reverse question, namely whether orthographic abilities also affect serial-order memory, has hardly been investigated. In the current study, we compared 20 illiterate people with a group of 20 literate matched controls on a verbal and a visuospatial version of the Hebb paradigm, measuring both short- and long-term serial-order memory abilities. We observed better short-term serial-recall performance for the literate compared with the illiterate people. This effect was stronger in the verbal than in the visuospatial modality, suggesting that the improved capacity of the literate group is a consequence of learning orthographic skills. The long-term consolidation of ordered information was comparable across groups, for both stimulus modalities. The implications of these findings for current views regarding the bi-directional interactions between memory and written language development are discussed.Peer reviewe

Object-oriented Neural Programming (OONP) for Document Understanding

We propose Object-oriented Neural Programming (OONP), a framework for semantically parsing documents in specific domains. Basically, OONP reads a document and parses it into a predesigned object-oriented data structure (referred to as ontology in this paper) that reflects the domain-specific semantics of the document. An OONP parser models semantic parsing as a decision process: a neural net-based Reader sequentially goes through the document, and during the process it builds and updates an intermediate ontology to summarize its partial understanding of the text it covers. OONP supports a rich family of operations (both symbolic and differentiable) for composing the ontology, and a big variety of forms (both symbolic and differentiable) for representing the state and the document. An OONP parser can be trained with supervision of different forms and strength, including supervised learning (SL) , reinforcement learning (RL) and hybrid of the two. Our experiments on both synthetic and real-world document parsing tasks have shown that OONP can learn to handle fairly complicated ontology with training data of modest sizes.Comment: accepted by ACL 201