996 resultados para Vocabulary knowledge


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This quasi-experimental Analysis of Covariance (ANCOVA) study explored whether the vocabulary and reading comprehension mean scores of Hispanic Kindergarten ELs whose teachers were trained to utilize Dialogic Reading (DR) discourse were higher than the mean scores of Hispanic ELs in kindergarten whose teachers were not trained to utilize DR discourse strategies. Sixty-three self-identified Hispanic, English Language Kindergarten students and four teachers participated in the study. The teachers were randomly assigned to either the experimental group (DR trained) or control group by drawing names from a hat. Student assignment to experimental versus comparison group was based on the teacher's assignment to either the experimental or comparison group. Thirty-one were assigned to the control group and 32 to the experimental group. The teachers were instructed to read the story to a group of six students (maximum) at a time, utilizing the DR discourse strategies they had been trained to implement. Subjects were read a story each week during the 8-week duration of the study. Teachers in the experimental group collaboratively selected 10 words each week from the Read Together Talk Together (RTTT) instructional stories that were utilized for vocabulary instruction. A test of homogeneity was conducted to evaluate whether the variance among the dependent variables was the same across the groups. An Analyses of Covariance (ANCOVA) was applied to analyze students' vocabulary and comprehension mean scores in the experimental group and the comparison group. The results of the study demonstrated a significant increase in the vocabulary and reading comprehension mean scores for the students whose teachers had been trained in DR discourse strategies. When comparing the two groups, the results revealed a statistically significant difference (p < 0.05). In conclusion, this study was conducted to explore how DR discourse may be an effective technique to teach literacy skills. The findings of this study showed that vocabulary knowledge and reading comprehension of Hispanic ELs were positively affected by the teachers' inclusion of dialogue during storybook reading. Its outcomes accentuated the need for teachers to provide assistance to ELs as they develop vocabulary knowledge and reading comprehension skills.

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In this article, we describe the development of an exten- sion to the Simple Knowledge Organization System (SKOS) to accommodate the needs of vocabulary devel- opment applications (VDA) managing metadata schemes and requiring close tracking of change to both those schemes and their member concepts. We take a neo- pragmatic epistemic stance in asserting the need for an entity in SKOS modeling to mediate between the abstract concept and the concrete scheme. While the SKOS model sufficiently describes entities for modeling the current state of a scheme in support of indexing and search on the Semantic Web, it lacks the expressive power to serve the needs of VDA needing to maintain scheme historical continuity. We demonstrate prelimi- narily that conceptualizations drawn from empirical work in modeling entities in the bibliographic universe, such as works, texts, and exemplars, can provide the basis for SKOS extension in ways that support more rig- orous demands of capturing concept evolution in VDA.

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Natural Language Processing (NLP) has seen tremendous improvements over the last few years. Transformer architectures achieved impressive results in almost any NLP task, such as Text Classification, Machine Translation, and Language Generation. As time went by, transformers continued to improve thanks to larger corpora and bigger networks, reaching hundreds of billions of parameters. Training and deploying such large models has become prohibitively expensive, such that only big high tech companies can afford to train those models. Therefore, a lot of research has been dedicated to reducing a model’s size. In this thesis, we investigate the effects of Vocabulary Transfer and Knowledge Distillation for compressing large Language Models. The goal is to combine these two methodologies to further compress models without significant loss of performance. In particular, we designed different combination strategies and conducted a series of experiments on different vertical domains (medical, legal, news) and downstream tasks (Text Classification and Named Entity Recognition). Four different methods involving Vocabulary Transfer (VIPI) with and without a Masked Language Modelling (MLM) step and with and without Knowledge Distillation are compared against a baseline that assigns random vectors to new elements of the vocabulary. Results indicate that VIPI effectively transfers information of the original vocabulary and that MLM is beneficial. It is also noted that both vocabulary transfer and knowledge distillation are orthogonal to one another and may be applied jointly. The application of knowledge distillation first before subsequently applying vocabulary transfer is recommended. Finally, model performance due to vocabulary transfer does not always show a consistent trend as the vocabulary size is reduced. Hence, the choice of vocabulary size should be empirically selected by evaluation on the downstream task similar to hyperparameter tuning.

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The World Wide Web (WWW) is useful for distributing scientific data. Most existing web data resources organize their information either in structured flat files or relational databases with basic retrieval capabilities. For databases with one or a few simple relations, these approaches are successful, but they can be cumbersome when there is a data model involving multiple relations between complex data. We believe that knowledge-based resources offer a solution in these cases. Knowledge bases have explicit declarations of the concepts in the domain, along with the relations between them. They are usually organized hierarchically, and provide a global data model with a controlled vocabulary, We have created the OWEB architecture for building online scientific data resources using knowledge bases. OWEB provides a shell for structuring data, providing secure and shared access, and creating computational modules for processing and displaying data. In this paper, we describe the translation of the online immunological database MHCPEP into an OWEB system called MHCWeb. This effort involved building a conceptual model for the data, creating a controlled terminology for the legal values for different types of data, and then translating the original data into the new structure. The 0 WEB environment allows for flexible access to the data by both users and computer programs.

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In lateralized Lexical Decision Tasks (LDT), accuracy is commonly higher and reaction times are commonly faster for right visual field (RVF) than left visual field (LVF) presentations. This visual field differences are thought to demonstrate the left hemisphere's dominance for language. Unfortunately, different tasks and words are used between studies and languages making direct comparisons difficult. For example, high frequency words show a performance advantage over low frequency words. Moreover, demographic variables impact on lateralized behavior such as language knowledge (one versus several, early acquired versus late acquired). We here aim to alleviate some of these obstacles by presenting results from a lateralized LDT for which we selected words between 4 and 6 letters used in five different languages, i.e. English, French, German, Dutch and Italian. In this first study using these words, we compared performance of right- and left-handed students being either early or late bilinguals (acquired before or after the age of 6 years) from a French-speaking University in Switzerland. Results showed a left hemispheric advantage (accuracy, reaction times) for all groups, with a trend for early as compared to late bilinguals to be less accurate and taking longer in lexical decisions. These results show that the current words result in solid visual field differences, and do so irrespective of how many languages are spoken. While early bilinguals might experience a slight performance disadvantage, it was not affecting visual field differences.

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After reviewing the literature, this work tries to show the importance of teaching vocabulary fõr students’ literacy skills, especially, reading comprehension. Many researchers suggest that the greatest amount of vocabulary growth occurs through incidental word learning in wide reading, and, research indicates that vocabulary instruction is an important vehicle for vocabulary learning. (Anderson& Nagy, as cited in Harmon, 1992, p.306). Word knowledge is one of the best ways of successful reading and comprehension. “Reading enhancement correlates with reader’s vocabulary” (Im, 1994, p.12). Therefore, today’s language teachers and researchers have realized the important role of vocabulary in reading comprehension. A survey carried out on 10th, 11th and 12th grade students, regarding their reading comprehension, shows that unknown words is one of the factors which influences their ability to read and comprehend a passage. It also shows that students feel the need to be instructed on strategy when encountering new words and consequently improving their vocabulary. This inhibits their understanding of a reading selection. As a result it is crucial that teachers equip students with methodological tools to be employed when they encounter unknown words. There are a lot systematic approaches for discerning which skills and words a teacher should focus on and meaningful classroom activities to reinforce the words and strategies that teachers can use to help students increase their word knowledge. Finally research indicates that developing students’ vocabulary correlates with success in all areas of curriculum (Edger, 1999, p.14). The success of vocabulary development depends on students’ active process of learning and strategies used by teachers.

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Expression data contribute significantly to the biological value of the sequenced human genome, providing extensive information about gene structure and the pattern of gene expression. ESTs, together with SAGE libraries and microarray experiment information, provide a broad and rich view of the transcriptome. However, it is difficult to perform large-scale expression mining of the data generated by these diverse experimental approaches. Not only is the data stored in disparate locations, but there is frequent ambiguity in the meaning of terms used to describe the source of the material used in the experiment. Untangling semantic differences between the data provided by different resources is therefore largely reliant on the domain knowledge of a human expert. We present here eVOC, a system which associates labelled target cDNAs for microarray experiments, or cDNA libraries and their associated transcripts with controlled terms in a set of hierarchical vocabularies. eVOC consists of four orthogonal controlled vocabularies suitable for describing the domains of human gene expression data including Anatomical System, Cell Type, Pathology and Developmental Stage. We have curated and annotated 7016 cDNA libraries represented in dbEST, as well as 104 SAGE libraries,with expression information,and provide this as an integrated, public resource that allows the linking of transcripts and libraries with expression terms. Both the vocabularies and the vocabulary-annotated libraries can be retrieved from http://www.sanbi.ac.za/evoc/. Several groups are involved in developing this resource with the aim of unifying transcript expression information.

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ViralZone (http://viralzone.expasy.org) is a knowledge repository that allows users to learn about viruses including their virion structure, replication cycle and host-virus interactions. The information is divided into viral fact sheets that describe virion shape, molecular biology and epidemiology for each viral genus, with links to the corresponding annotated proteomes of UniProtKB. Each viral genus page contains detailed illustrations, text and PubMed references. This new update provides a linked view of viral molecular biology through 133 new viral ontology pages that describe common steps of viral replication cycles shared by several viral genera. This viral cell-cycle ontology is also represented in UniProtKB in the form of annotated keywords. In this way, users can navigate from the description of a replication-cycle event, to the viral genus concerned, and the associated UniProtKB protein records.

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Introduction: the statistical record used in the Field Academic Programs (PAC for it’s initials in Spanish) of Rehabilitation denotes generalities in the data conceptualization, which complicates the reliable guidance in making decisions and provides a low support for research in rehabilitation and disability. In response, the Research Group in Rehabilitation and Social Integration of Persons with Disabilities has worked on the creation of a registry to characterize the population seen by Rehabilitation PAC. This registry includes the use of the International Classification of Functioning, Disability and Health (ICF) of the WHO. Methodology: the proposed methodology includes two phases: the first one is a descriptive study and the second one involves performing methodology Methontology, which integrates the identification and development of ontology knowledge. This article contextualizes the progress made in the second phase. Results: the development of the registry in 2008, as an information system, included documentary review and the analysis of possible use scenarios to help guide the design and development of the SIDUR system. The system uses the ICF given that it is a terminology standardization that allows the reduction of ambiguity and that makes easier the transformation of health facts into data translatable to information systems. The record raises three categories and a total of 129 variables Conclusions: SIDUR facilitates accessibility to accurate and updated information, useful for decision making and research.

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This paper evaluates a receptive and expressive vocabulary test, The Test of Word Knowledge, to determine its applicability to deaf students and to compare its results with other vocabulary tests.

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Two experiments are described which explore the relationship between parental reports of infants' receptive vocabularies at 1; 6 (Experiment 1a) or 1-3, 1;6 and 1;9 (Experiment 1b) and the comprehension infants demonstrated in a preferential looking task. The instrument used was the Oxford CD1, a British English adaptation of the MacArthur-Bates CD1 (Words & Gestures). Infants were shown pairs of images of familiar objects, either both name-known or both name-unknown according to their parent's responses on the CD1. At all ages, and on both name-known and name-unknown trials, preference for the target image increased significantly from baseline when infants heard the target's label. This discrepancy suggests that parental report underestimates infants' word knowledge.

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This chapter compares lexical diversity of French words used by Dutch-French bilinguals, English-French bilinguals and Flemish L2 learners of French.

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The close relationship between children’s vocabulary size and their later academic success has led researchers to explore how vocabulary development might be promoted during the early school years. We describe a study that explored the effectiveness of naturalistic classroom storytelling as an instrument for teaching new vocabulary to six- to nine-year-old children. We examined whether learning was facilitated by encountering new words in single versus multiple story contexts, or by the provision of age-appropriate definitions of words as they were encountered. Results showed that encountering words in stories on three occasions led to significant gains in word knowledge in children of all ages and abilities, and that learning was further enhanced across the board when teachers elaborated on the new words’ meanings by providing dictionary definitions. Our findings clarify how classroom storytelling activities can be a highly effective means of promoting vocabulary development.