The role of linguistic input in shaping the conversational language of deaf preschoolers with a cochlear implant

This study investigates whether mothers who have children with cochlear implants fine-tune their own vocabulary and sentence complexity to that of their child. Whether and how fine-tuning leads to faster growth in these language skills is explored.

The nonconceptual gateway to early word learning

My research investigates why nouns are learned disproportionately more frequently than other kinds of words during early language acquisition (Gentner, 1982; Gleitman, et al., 2004). This question must be considered in the context of cognitive development in general. Infants have two major streams of environmental information to make meaningful: perceptual and linguistic. Perceptual information flows in from the senses and is processed into symbolic representations by the primitive language of thought (Fodor, 1975). These symbolic representations are then linked to linguistic input to enable language comprehension and ultimately production. Yet, how exactly does perceptual information become conceptualized? Although this question is difficult, there has been progress. One way that children might have an easier job is if they have structures that simplify the data. Thus, if particular sorts of perceptual information could be separated from the mass of input, then it would be easier for children to refer to those specific things when learning words (Spelke, 1990; Pylyshyn, 2003). It would be easier still, if linguistic input was segmented in predictable ways (Gentner, 1982; Gleitman, et al., 2004) Unfortunately the frequency of patterns in lexical or grammatical input cannot explain the cross-cultural and cross-linguistic tendency to favor nouns over verbs and predicates. There are three examples of this failure: 1) a wide variety of nouns are uttered less frequently than a smaller number of verbs and yet are learnt far more easily (Gentner, 1982); 2) word order and morphological transparency offer no insight when you contrast the sentence structures and word inflections of different languages (Slobin, 1973) and 3) particular language teaching behaviors (e.g. pointing at objects and repeating names for them) have little impact on children's tendency to prefer concrete nouns in their first fifty words (Newport, et al., 1977). Although the linguistic solution appears problematic, there has been increasing evidence that the early visual system does indeed segment perceptual information in specific ways before the conscious mind begins to intervene (Pylyshyn, 2003). I argue that nouns are easier to learn because their referents directly connect with innate features of the perceptual faculty. This hypothesis stems from work done on visual indexes by Zenon Pylyshyn (2001, 2003). Pylyshyn argues that the early visual system (the architecture of the "vision module") segments perceptual data into pre-conceptual proto-objects called FINSTs. FINSTs typically correspond to physical things such as Spelke objects (Spelke, 1990). Hence, before conceptualization, visual objects are picked out by the perceptual system demonstratively, like a finger pointing indicating ‘this’ or ‘that’. I suggest that this primitive system of demonstration elaborates on Gareth Evan's (1982) theory of nonconceptual content. Nouns are learnt first because their referents attract demonstrative visual indexes. This theory also explains why infants less often name stationary objects such as plate or table, but do name things that attract the focal attention of the early visual system, i.e., small objects that move, such as ‘dog’ or ‘ball’. This view leaves open the question how blind children learn words for visible objects and why children learn category nouns (e.g. 'dog'), rather than proper nouns (e.g. 'Fido') or higher taxonomic distinctions (e.g. 'animal').

Grounding human vocabulary in robot perception through interaction

This thesis addresses the problem of word learning in computational agents. The motivation behind this work lies in the need to support language-based communication between service robots and their human users, as well as grounded reasoning using symbols relevant for the assigned tasks. The research focuses on the problem of grounding human vocabulary in robotic agent’s sensori-motor perception. Words have to be grounded in bodily experiences, which emphasizes the role of appropriate embodiments. On the other hand, language is a cultural product created and acquired through social interactions. This emphasizes the role of society as a source of linguistic input. Taking these aspects into account, an experimental scenario is set up where a human instructor teaches a robotic agent the names of the objects present in a visually shared environment. The agent grounds the names of these objects in visual perception. Word learning is an open-ended problem. Therefore, the learning architecture of the agent will have to be able to acquire words and categories in an openended manner. In this work, four learning architectures were designed that can be used by robotic agents for long-term and open-ended word and category acquisition. The learning methods used in these architectures are designed for incrementally scaling-up to larger sets of words and categories. A novel experimental evaluation methodology, that takes into account the openended nature of word learning, is proposed and applied. This methodology is based on the realization that a robot’s vocabulary will be limited by its discriminatory capacity which, in turn, depends on its sensors and perceptual capabilities. An extensive set of systematic experiments, in multiple experimental settings, was carried out to thoroughly evaluate the described learning approaches. The results indicate that all approaches were able to incrementally acquire new words and categories. Although some of the approaches could not scale-up to larger vocabularies, one approach was shown to learn up to 293 categories, with potential for learning many more.

How language can help discrimination in the Neural Modelling Fields framework

The relationship between thought and language and, in particular, the issue of whether and how language influences thought is still a matter of fierce debate. Here we consider a discrimination task scenario to study language acquisition in which an agent receives linguistic input from an external teacher, in addition to sensory stimuli from the objects that exemplify the overlapping categories that make up the environment. Sensory and linguistic input signals are fused using the Neural Modelling Fields (NMF) categorization algorithm. We find that the agent with language is capable of differentiating object features that it could not distinguish without language. In this sense, the linguistic stimuli prompt the agent to redefine and refine the discrimination capacity of its sensory channels. (C) 2007 Elsevier Ltd. All rights reserved.

Emergência de comportamentos autônomos na aprendizagem da língua estrangeira a partir da interface da consciência linguageira e da motivação

Esta pesquisa situa-se entre os estudos da Consciência Linguageira e a formação de comportamentos autônomos com influência do fator motivacional em aprendentes do Inglês como língua estrangeira. Considerando a relevância da explicitude dos insumos complexos e da Consciência Linguageira na instrução, observei que, ao utilizar esses princípios, o docente pode favorecer em seus aprendentes a formação de comportamentos que os levem a um maior controle de sua própria aprendizagem. Desta forma, o presente estudo tem como objetivos verificar a correlação entre Consciência Linguageira, autonomização e motivação como aspecto subliminar. O embasamento teórico deste estudo respalda-se essencialmente nas contribuições de Little (1997), Flavell (1976), Donmall (1991), Hawkings (2001), James; Garret (1991), Benson (2001), Rutherford (1987) e Van Lier (1991). Concomitantemente à investigação bibliográfica foi desenvolvida uma pesquisa - ação a fim de compreender o processo de apropriação do insumo pelo aprendente adulto, formulando hipóteses e valorizando o contexto dinâmico da sala de aula para intervir na melhoria da aprendizagem. A observação e a coleta de dados ocorreram em uma turma do 6º nível de língua inglesa, dos Cursos Livres de Línguas Estrangeiras, da Universidade Federal do Pará. Os dados procedentes das entrevistas, questionários, observações e atividades de foco na forma demonstraram que diante de situações em que o insumo linguístico apresentava maior complexidade, as produções orais e escritas ficavam comprometidas e havia menor participação dos aprendentes nas atividades de conversação. Observei ainda, que as atividades de Foco na Forma, a explicitude e as reflexões conduzidas por meio de metalinguagem aproximaram os alunos da solução de dificuldades ante os insumos complexos, e os motivaram a buscar, autonomamente, diferentes alternativas de aprendizagem. Os dados foram cruzados para as análises a respeito das implicações da Consciência Linguageira no desenvolvimento de comportamentos autônomos e da motivação sobre o desempenho dos aprendentes, permitindo uma reflexão relativa ao tema e aos insights significativos para a solução de problemas oriundos da imprevisibilidade do contexto em sala de aula.

O insumo linguístico oral em aulas de inglês como língua estrangeira para crianças: a fala do professor em foco

Coordenação de Aperfeiçoamento de Pessoal de Nível Superior (CAPES)

Ensino de língua estrangeira: foco na abordagem de ensino do professor

Conselho Nacional de Desenvolvimento Científico e Tecnológico (CNPq)

Erfassung bildungssprachlicher Kompetenzen von Kindern im Vorschulalter. Grundlagen und Entwicklung einer Ratingskala (RaBi)

Der vorliegende Beitrag stellt die Grundlagen einer Ratingskala zur Erfassung bildungssprachlicher Fähigkeiten in Kindertagesstätten (RaBi) vor. Die RaBi-Skala wurde im Rahmen des Projektes "EASI Science-L" entwickelt und anhand der Transkripte von videografierten Lehr-Lerneinheiten aus diesem Projekt erprobt. Die Entwicklung erfolgt vor dem theoretischen Hintergrund aktuell in der Fachliteratur angenommener bildungssprachlicher Merkmale. Diese werden auf die Besonderheiten der konventionell verlaufenden Sprachentwicklung adaptiert. Es folgt sowohl die Deskription der einzelnen Dimensionen bildungssprachlichen Handelns auf den Ebenen Lexikon, Morphosyntax und Sprachhandlungen als auch die Darstellung der Konzeption der RaBi-Skala sowie erste Ergebnisse.

Editorial. Sprachliche Bildung von 3-bis 8-jährigen Kindern

Die Autoren führen in den Themenschwerpunkt des Heftes ein. "Die Beiträge [dieses Heftes] beziehen sich auf die sprachliche Bildung von Kindern im Alter von 3-8 Jahren. Sie befassen sich auf der Grundlage empirischer Untersuchungen mit sprachlichen Fähigkeiten von Kindern in mehrsprachigen Kontexten sowie mit Praktiken der Sprachförderung in verschiedenen Bildungseinrichtungen." (DIPF/Orig.)

Editorial. L’éducation langagière des enfants de 3 à 8 ans

Ce journal consacré à l’éducation langagière des enfants de 3 à 8 ans. Il présente des résultats de recherches empiriques sur les capacités langagières d’enfants et d’élèves en contexte multilingue mais également sur les pratiques de promotion langagière dans différentes institutions éducatives. L’analyse des capacités langagières orales en fonction de genres de textes oraux, la prise en considération de multiples facettes du plurilinguisme, l’étude de l’action des enseignants et du personnel éducatif dans les interactions quotidiennes avec les enfants, les enjeux du passage du préscolaire au primaire en termes de processus de reproduction et de construction d’inégalités éducatives apparaissent comme autant d’axes de réflexion ouverts par ce numéro. (DIPF/Orig.)

Sprachförderung im Alltag: Umsetzung in Kindergarten, Kita und Spielgruppe. Videobasierte Fallanalysen

Hohe Erwartungen werden gegenwärtig an verschiedene Initiativen zur Sprachförderung in der frühkindlichen Bildung gestellt. Wirkungsanalysen verweisen auf die Bedeutung der Sprachförderung als Querschnittsaufgabe und damit auf die Sprachförderkompetenz der Fachkräfte, Kinder in ihrem Spracherwerb adaptiv zu unterstützen. Die hier diskutierte Interventionsstudie umfasst eine Weiterbildung für frühpädagogische Fachkräfte aus Spielgruppe, Kita und Kindergarten in Deutschland und der Schweiz, die fünf ausgewählte Strategien der Sprachförderung im Alltag thematisiert. Es werden die Strategien und ihre Umsetzung durch die Fachkräfte anhand von Fallstudien auf der Basis der Videoanalyse aufgezeigt. (DIPF/Orig.)

Stand-Punkte beziehen – multimodale Unterstützung des Erwerbs sprachlich-kognitiver Fähigkeiten im Kindergarten

Im Forschungsprojekt "Prozesse der Sprachförderung im Kindergarten – ProSpiK" werden Gespräche zwischen Lehrpersonen und Kindern gefilmt und sequenzanalytisch ausgewertet, um ihre Potenziale für den Erwerb und die Förderung bildungssprachlicher Fähigkeiten zu untersuchen. Ziel ist es, Grundlagen für eine stufengerechte (integrierte, situations- und themenorientierte) Sprachdidaktik zu erarbeiten, die Bildungsungleichheit abbauen hilft, anstatt sie zu reproduzieren. In der Nummer 3/2014 der Schweizerischen Zeitschrift für Bildungswissenschaften wurden die Anlage des Projekts und erste Auswertungsergebnisse (zum Phänomen «Wechsel von Referenzräumen») vorgestellt (Isler, Künzli, & Wiesner, 2014). Der vorliegende Beitrag befasst sich weiter vertiefend mit der Ausgestaltung von pädagogischen Gesprächen: Es wird untersucht, mit welchen kommunikativen Mitteln die Kinder beim Erwerb von Fähigkeiten des Argumentierens (Beziehen und Begründen eigener Positionen) unterstützt werden können.2 Im ersten Abschnitt geht es um die Bedeutung der Prozessqualität in der frühen Bildung und um Gespräche als Erwerbskontexte sprachlicher Fähigkeiten. Im zweiten Abschnitt werden zentrale theoretische Konzepte dargestellt, die unseren Analysen zugrunde liegen. Der dritte Abschnitt gibt einen exemplarischen Einblick in das Datenmaterial und die Auswertungsarbeiten. Im vierten Abschnitt wird anhand einer exemplarischen Analyse gezeigt, wie im Kindergarten multimodal gelernt werden kann. Abschliessend werden die Ergebnisse mit Bezug auf die Forschungsfragen des Projekts diskutiert. (DIPF/Orig.)

The acquisition of adjunct control: grammar and processing

This dissertation uses children’s acquisition of adjunct control as a case study to investigate grammatical and performance accounts of language acquisition. In previous research, children have consistently exhibited non-adultlike behavior for sentences with adjunct control. To explain children’s behavior, several different grammatical accounts have been proposed, but evidence for these accounts has been inconclusive. In this dissertation, I take two approaches to account for children’s errors. First, I spell out the predictions of previous grammatical accounts, and test these predictions after accounting for some methodological concerns that might have influenced children’s behavior in previous studies. While I reproduce the non-adultlike behavior observed in previous studies, the predictions of previous grammatical accounts are not borne out, suggesting that extragrammatical factors are needed to explain children’s behavior. Next, I consider the role of two different types of extragrammatical factors in predicting children’s non-adultlike behavior. With a new task designed to address the task demands in previous studies, children exhibit significantly higher accuracy than with previous tasks. This suggests that children’s behavior has been influenced by task- specific processing factors. In addition to the task, I also test the predictions of a similarity-based interference account, which links children’s errors to the same memory mechanisms involved in sentence processing difficulties observed in adults. These predictions are borne out, supporting a more continuous developmental trajectory as children’s processing mechanisms become more resistant to interference. Finally, I consider how children’s errors might influence their acquisition of adjunct control, given the distribution in the linguistic input. I discuss the results of a corpus analysis, including the possibility that adjunct control could be learned from the input. The kinds of information that could be useful to a learner become much more limited, however, after considering the processing limitations that would interfere with the representations available to the learner.

Triangular Linguistic Fuzzy based performance measurement model for supply chain to assess leanness attributes

Increasing global competitiveness worldwide has forced manufacturing organizations to produce high-quality products more quickly and at a competitive cost. In order to reach these goals, they need good quality components from suppliers at optimum price and lead time. This actually forced all the companies to adapt different improvement practices such as lean manufacturing, Just in Time (JIT) and effective supply chain management. Applying new improvement techniques and tools cause higher establishment costs and more Information Delay (ID). On the contrary, these new techniques may reduce the risk of stock outs and affect supply chain flexibility to give a better overall performance. But industry people are unable to measure the overall affects of those improvement techniques with a standard evaluation model .So an effective overall supply chain performance evaluation model is essential for suppliers as well as manufacturers to assess their companies under different supply chain strategies. However, literature on lean supply chain performance evaluation is comparatively limited. Moreover, most of the models assumed random values for performance variables. The purpose of this paper is to propose an effective supply chain performance evaluation model using triangular linguistic fuzzy numbers and to recommend optimum ranges for performance variables for lean implementation. The model initially considers all the supply chain performance criteria (input, output and flexibility), converts the values to triangular linguistic fuzzy numbers and evaluates overall supply chain performance under different situations. Results show that with the proposed performance measurement model, improvement area for each variable can be accurately identified.

Natural Language Input for a Computer Problem Solving System

The STUDENT problem solving system, programmed in LISP, accepts as input a comfortable but restricted subset of English which can express a wide variety of algebra story problems. STUDENT finds the solution to a large class of these problems. STUDENT can utilize a store of global information not specific to any one problem, and may make assumptions about the interpretation of ambiguities in the wording of the problem being solved. If it uses such information or makes any assumptions, STUDENT communicates this fact to the user. The thesis includes a summary of other English language questions-answering systems. All these systems, and STUDENT, are evaluated according to four standard criteria. The linguistic analysis in STUDENT is a first approximation to the analytic portion of a semantic theory of discourse outlined in the thesis. STUDENT finds the set of kernel sentences which are the base of the input discourse, and transforms this sequence of kernel sentences into a set of simultaneous equations which form the semantic base of the STUDENT system. STUDENT then tries to solve this set of equations for the values of requested unknowns. If it is successful it gives the answers in English. If not, STUDENT asks the user for more information, and indicates the nature of the desired information. The STUDENT system is a first step toward natural language communication with computers. Further work on the semantic theory proposed should result in much more sophisticated systems.