Essays about: "yes-no questions"
Showing result 1 - 5 of 10 essays containing the words yes-no questions.
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1. Could this phrase be more constructional? : A Construction Grammar approach to the COULD X BE MORE Y phrase from the television show Friends
University essay from Stockholms universitet/Engelska institutionenAbstract : This thesis investigates the COULD X BE MORE Y phrase (CXBMY), well-known from the television show Friends, to argue for its qualification as a construction. By analyzing the phrase’s formal and functional features, as well as its frequency in the COCA corpus, this thesis compares the findings to the definition of constructions by Goldberg (2006, p. READ MORE
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2. Correlation between muscle strength and aerobic capacity from age 34 to 63, both cross- sectionally and in terms of longitudinal changes within a cohort of Swedish men and women.
University essay from Gymnastik- och idrottshögskolan, GIH/Institutionen för fysisk aktivitet och hälsaAbstract : Background: The proportion of elderly in the population is increasing globally. Aerobic capacity (AC) and muscle strength (MS) are important factors for health and quality of life. AC as well as MS decrease with higher age. READ MORE
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3. Answers to Polarity Questions : A Typological Study
University essay from Stockholms universitet/Institutionen för lingvistikAbstract : Polarity questions, i.e. questions that demand as an answer either an affirmation or a denial (e.g. READ MORE
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4. The Perception of Intonation in Japanese Sentence Types by Swedish Speakers : Wh-Questions, Yes/No-Questions and Declaratives
University essay from Lunds universitet/JapanskaAbstract : This study is concerned with the topic of sentence-final intonation in wh-questions, yes/no- questions and declaratives. The aim of the study is to investigate whether native speakers of Swedish can recognize these sentence types in standard Japanese by listening to the intonation alone. READ MORE
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5. The use of Machine Learning Algorithms for Adaptive Question Selection in Questionnaire-based Mental Health Data Collection Apps
University essay from Lunds universitet/Avdelningen för Biomedicinsk teknikAbstract : This report discusses the implementation of machine learning algorithms for personalising question selection in a questionnaire-based self-report app for individuals suffering from mental health issues. A so-called \textit{Random Forest - Genetic Algorithm} (RFGA) hybrid prediction method is used to find an optimal set of relevant questions to pose to new users in the app. READ MORE