What affects recognition most – wrong wordstress or wrong word accent?

In an attempt to find out which of the two Swedish prosodic contrasts of 1) wordstress pattern and 2) tonal word accent category has the greatest communicative weight, a lexical decision experiment was conducted: in one part word stress pattern was changed from trochaic to iambic, and in the other part trochaic accentII words were changed to accent I.Native Swedish listeners were asked to decide whether the distorted words werereal words or ‘non-words’. A clear tendency is that listeners preferred to give more‘non-word’ responses when the stress pattern was shifted, compared to when wordaccent category was shifted. This could have implications for priority of phonological features when teaching Swedish as a second language.

Football supporters an the negative word of mouth of their rival team's brand

This article has the objective of identifying whether the loyalty for the team has a negative effect on the word of mouth of the rival team’s brand. It has been developed a model based on the works of Fagundes (2013) and Santana and Akel Sobrinho (2010), through the use of Structural Equation Modeling - SEM, which presents three constructions: the identification with the team, the loyalty to the team and the negative word of mouth of the rival’s brand. 528 students from two college were interviewed and it has been identified that the emotional involvement of the supporter with his team reflects on the identification of a supporter by his team (KWON e ARMSTRONG, 2004; KAYNAK, 2008; JORDAN et al., 2014), it is thus formed a loyalty for the team (FUNK and JAMES, 2006). It influences other people in their personal relationships through the negative word of mouth communication.

Word of mouth marketing in the digital age: a case study analysis of viral marketing campaigns

A era digital viu a ascensão da empresa focada no consumidor. Todos os dias, marcas e produtos são objeto de milhões de conversas em que os consumidores trocam pontos de vista, opiniões e informações antes de tomar a decisão de compra. Os profissionais de marketing entenderam a importância do boca a boca como um novo canal de comunicação estratégica e começaram a ancorar técnicas de boca a boca à estratégia de marketing global. A propaganda tornou-se um negócio de conversa: o novo desafio do marketing é criar um conteúdo envolvente e compartilhável que possa expandir e ressoar dentro de redes de sociais de consumidores. Quanto mais as pessoas falam sobre a sua marca, mais a probabilidade de ganhar a competição dura e aumentar as vendas. Mas como o boca a boca funciona? O que faz uma campanha de marketing um sucesso viral? Este trabalho tem como objetivo fornecer uma análise abrangente da teoria de marketing de boca a boca e usa um modelo descritivo para investigar as variáveis-chave de campanhas bem-sucedidas de marketing viral, a fim de proporcionar insights e sugestões para as práticas de marketing viral.

Antecedents of e-loyalty and electronic word-of-mouth

O objetivo principal da dissertação foi o de examinar a relação entre lealdade (e-loyalty) e o boca-a-boca (eWOM) no contexto do varejo eletrônico. Como objetivo secundário, foi feito uma verificação da significância das variáveis preditoras de e-loyalty. Essa pesquisa foi focada em um tipo de produto/serviço: compra de livros através da internet. Duzentos e quarenta e dois questionários online foram respondidos por um público representativo da geração Y (millennials), e rresidentes em diferentes localidades no Brasil e nos Estados Unidos. A análise de dados foi efetuada pela aplicação do método PLS-SEM sobre um modelo de pesquisa cuidadosamente formulado com base em resultados empíricos prévios. Enquanto que a relação entre e-loyalty e eWOM foi classificada como fraca, um ambiente de boca-a-boca online de alta qualidade representou uma variável preditora significativa para o sentimento de e-loyalty. Todas as variáveis preditoras foram classificadas como significativas nesse estudo, sendo que comprometimento tem o efeito mais forte sobre a variável e-loyalty.

WORD-FINDING DIFFICULTIES, VERBAL PARAPHASIAS, AND VERBAL DYSPRAXIA IN 10 INDIVIDUALS WITH FRAGILE-X-SYNDROME

Speech/language disorders are common in the fragile X syndrome. [Howard-Peebles, 1979: Am J Hom Genet 31:214-222; Renier et al., 1983: J Ment Defic Res 27:51-59; Sparks, 1984: Birth Defects and Speech-Language Disorders, pp, 39-43; Hanson et al., 1986: Am J Med Genet 23:195-206]. Verbal paraphasias have been considered a rare feature and word-finding difficulties have seldom been reported. Here we report on ten Brazilian patients who were evaluated for speech/language disturbances and found that word-finding difficulties were present in 50% of the cases, which is a slightly higher frequency than that of clear dyspraxia. We suggest, therefore, that word-finding difficulties and verbal dyspraxia can be a common feature within the spectrum of this syndrome. Additional speech findings are discussed. (C) 1995 Wiley-Liss, Inc.

The Arab experience

Includes bibliography

The Use of Think-Aloud Strategies to Solve Word Problems

In this action research study of my sixth grade mathematics class, I investigated how students’ use of think-aloud strategies impacts their success in solving word problems. My research reveals that the use of think-aloud strategies can play an important role in the students’ abilities to understand and solve word problems. Direct instruction and modeling of think-aloud strategies increased my students’ confidence levels and the likelihood that they would use the strategies on their own. Providing students with a template to use as they solve a word problem helps students to better focus in on the think-aloud strategies I had been modeling for them.

Writing Relevant Word Problems: Seeking to Increase Student Mathematical Achievement

In this action research study of eighth grade mathematics, I investigated my students’ use of writing and solving word problems. I collected data to determine if writing and solving word problems would have a positive effect on students’ abilities to understand and solve word problems. These word problems are grade-level appropriate and are very similar to the problems on the eighth grade online assessment of state standards. Pre- and post-test data, weekly word problems that focus on specific mathematics topics, beginning and end surveys about word problem perceptions, and a teacher journal reveal that student engagement in this weekly practice of writing and solving word problems did influence the students’ overall abilities for, achievement in and attitudes toward solving word problems. Except for some students’ perceptions, the influence was largely positive. This suggests that word problems can be a constructive feature in eighth mathematics instruction.

Written Solutions of Mathematical Word Problems

In this action research study of my classroom of ten ninth grade algebra students, I investigated how my students expressed written solutions of mathematical word problems. I discovered that my students writing and performance improved as they experienced different strategies to attack problem solving. These experiences helped improve the confidence of my students in their problem solving skills and in their mathematical writing. I also discovered that my teaching style changed, as my students took on more responsibility for their learning. As a result of this research, I plan to implement problem solving activities in all my classrooms next year. I also plan to have my students develop their written communication skills by presenting their solutions to their problem solving activities in writing.

Does Decoding Increase Word Problem Solving Skills?

In this action research study of my classroom of 7th grade mathematics, I investigated whether the use of decoding would increase the students’ ability to problem solve. I discovered that knowing how to decode a word problem is only one facet of being a successful problem solver. I also discovered that confidence, effective instruction, and practice have an impact on improving problem solving skills. Because of this research, I plan to alter my problem solving guide that will enable it to be used by any classroom teacher. I also plan to keep adding to my math problem solving clue words and share with others. My hope is that I will be able to explain my project to math teachers in my district to make them aware of the importance of knowing the steps to solve a word problem.

Making Sense of Word Problems

In this action research study of my classroom of sixth grade mathematics, I investigated word problems. I discovered that my students did not like to try word problems because they did not understand what was being asked of them. My students also saw no reason for solving word problems or in having the ability to solve them. I used word problems that covered topics that were familiar to the students and that covered the skills necessary at the sixth grade level. I wanted to deepen their understanding of math and its importance. By having my students journal to me about the steps that they had taken along the way to solve the word problem I was able to see where confusion occurred. Consequently I was able to help clarify where my students made mistakes. Also, through writing down the steps taken, students did see more clearly where their errors took place. Each time that my students wrote their explanations to the steps that they used in solving the word problems they did solved them more easily. As I observed my students they took more time in writing their explanations and did not look at it as such a difficult task anymore.

Word sense disambiguation via high order of learning in complex networks

Complex networks have been employed to model many real systems and as a modeling tool in a myriad of applications. In this paper, we use the framework of complex networks to the problem of supervised classification in the word disambiguation task, which consists in deriving a function from the supervised (or labeled) training data of ambiguous words. Traditional supervised data classification takes into account only topological or physical features of the input data. On the other hand, the human (animal) brain performs both low- and high-level orders of learning and it has facility to identify patterns according to the semantic meaning of the input data. In this paper, we apply a hybrid technique which encompasses both types of learning in the field of word sense disambiguation and show that the high-level order of learning can really improve the accuracy rate of the model. This evidence serves to demonstrate that the internal structures formed by the words do present patterns that, generally, cannot be correctly unveiled by only traditional techniques. Finally, we exhibit the behavior of the model for different weights of the low- and high-level classifiers by plotting decision boundaries. This study helps one to better understand the effectiveness of the model. Copyright (C) EPLA, 2012

Unveiling the relationship between complex networks metrics and word senses

The automatic disambiguation of word senses (i.e., the identification of which of the meanings is used in a given context for a word that has multiple meanings) is essential for such applications as machine translation and information retrieval, and represents a key step for developing the so-called Semantic Web. Humans disambiguate words in a straightforward fashion, but this does not apply to computers. In this paper we address the problem of Word Sense Disambiguation (WSD) by treating texts as complex networks, and show that word senses can be distinguished upon characterizing the local structure around ambiguous words. Our goal was not to obtain the best possible disambiguation system, but we nevertheless found that in half of the cases our approach outperforms traditional shallow methods. We show that the hierarchical connectivity and clustering of words are usually the most relevant features for WSD. The results reported here shed light on the relationship between semantic and structural parameters of complex networks. They also indicate that when combined with traditional techniques the complex network approach may be useful to enhance the discrimination of senses in large texts. Copyright (C) EPLA, 2012