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All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year AND OR AND NOT All fields Title Creator / Publisher Keyword Year Sort by creator [A → Z]' creator [Z → A]' publishing year ↑ (asc)' publishing year ↓ (desc)' title [A → Z]' title [Z → A]' Simple Search Page: 1 2 3 4 5 6 7 8...28 Hits 61 – 80 of 551 61 Characterizing Transgender Health Issues in Twitter ... Karami, Amir; Webb, Frank; Kitzie, Vanessa L.. - : arXiv, 2018 BASE Show details 62 Large-scale diversity estimation through surname origin inference ... Mazières, Antoine; Roth, Camille. - : arXiv, 2018 BASE Show details 63 Invitación al estudio estadístico del lenguaje ... Nazar, Rogelio. - : arXiv, 2018 BASE Show details 64 Manuscripts in Time and Space: Experiments in Scriptometrics on an Old French Corpus ... Camps, Jean-Baptiste. - : arXiv, 2018 BASE Show details 65 Academia versus social media: a psycho-linguistic analysis Nguyen, Thin; Venkatesh, Svetha; Phung, Dinh. - : Elsevier, 2018 BASE Show details 66 TAPAS : A tangible End-User Development tool supporting the repurposing of Pervasive Displays Malizia, Alessio; Turchi, Tommaso; Dix, Alan. - 2018 BASE Show details 67 Software product line engineering for robotic perception systems Brugali, Davide (orcid:0000-0002-1024-3941); Hochgeschwender, Nico. - 2018 BASE Show details 68 Corpus linguistics is not just for linguists: considering the potential of computer-based corpus methods for library and information science research Bowker, Lynne. - 2018 Abstract: Purpose – The purpose of this paper is to generate awareness of and interest in the techniques used in computer-based corpus linguistics, focusing on their methodological implications for research in library and information science (LIS). Design/methodology/approach – This methodology paper provides an overview of computer-based corpus linguistics, describes the main techniques used in this field, assesses its strengths and weaknesses, and presents examples to illustrate the value of corpus linguistics to LIS research. Findings – Overall, corpus-based techniques are simple, yet powerful, and they support both quantitative and qualitative analyses. While corpus methods alone may not be sufficient for research in LIS, they can be used to complement and to help triangulate the findings of other methods. Corpus linguistics techniques also have the potential to be exploited more fully in LIS research that involves a higher degree of automation (e.g. recommender systems, knowledge discovery systems, and text mining). Practical implications – Numerous LIS researchers have drawn attention to the lack of diversity in research methods used in this field, and suggested that approaches permitting mixed methods research are needed. If LIS researchers learn about the potential of computer-based corpus methods, they can diversify their approaches. Originality/value – Over the past quarter century, corpus linguistics has established itself as one of the main methods used in the field of linguistics, but its potential has not yet been realized by researchers in LIS. Corpus linguistics tools are readily available and relatively straightforward to apply. By raising awareness about corpus linguistics, the author hopes to make these techniques available as additional tools in the LIS researcher’s methodological toolbox, thus broadening the range of methods applied in this field. Keyword: Computer applications; Languages; Methods; Research methods; Software tools; Techniques URL: http://hdl.handle.net/10393/42767 https://www.emerald.com/insight/content/doi/10.1108/LHT-12-2017-0271/full/html https://doi.org/10.1108/LHT-12-2017-0271 BASE Hide details 69 Engagement and performance in a first year natural resource science course McKenna, Brigid A.; Kopittke, Peter M.. - : Wiley-Blackwell Publishing, 2018 BASE Show details 70 PauseCode: Computational conversation timing analysis Angus, Daniel; Yu, Yeyang; Vrbik, Paul. - : Association for Computing Machinery, 2018 BASE Show details 71 Deep context of citations using machine-learning models in scholarly full-text articles Hassan, Saeed-Ul; Imran, Mubashir; Iqbal, Sehrish. - : Akademiai Kiado Rt., 2018 BASE Show details 72 Influences on smartphone adoption by language learners Doan, Nguyen Thi Le Hang. - : CALL-EJ, 2018 BASE Show details 73 Using an online social media space to engage parents in student learning in the early-years: enablers and impediments Willis, Linda-Dianne; Exley, Beryl. - : Universitat de Barcelona * Grup de Recerca Ensenyament i Aprenentatge Virtual, Observatorio de la Educacion Digital (OED), 2018 BASE Show details 74 Measuring communication difficulty through effortful speech production during conversation Beechey, Timothy; Buchholz, Jörg M.; Keidser, Gitte. - : Elsevier, 2018 BASE Show details 75 ImproteK: introducing scenarios into human-computer music improvisation Nika, Jérôme; Chemillier, Marc; Assayag, Gérard In: ACM Computers in Entertainment ; https://hal.archives-ouvertes.fr/hal-01380163 ; ACM Computers in Entertainment, 2017, ⟨10.1145/3022635⟩ (2017) BASE Show details 76 Characterizing Diabetes, Diet, Exercise, and Obesity Comments on Twitter ... Karami, Amir; Dahl, Alicia A.; Turner-McGrievy, Gabrielle. - : arXiv, 2017 BASE Show details 77 An Army of Me: Sockpuppets in Online Discussion Communities ... Kumar, Srijan; Cheng, Justin; Leskovec, Jure. - : arXiv, 2017 BASE Show details 78 Generalised additive mixed models for dynamic analysis in linguistics: a practical introduction ... Sóskuthy, Márton. - : arXiv, 2017 BASE Show details 79 Modelling dependency completion in sentence comprehension as a Bayesian hierarchical mixture process: A case study involving Chinese relative clauses ... Vasishth, Shravan; Chopin, Nicolas; Ryder, Robin. - : arXiv, 2017 BASE Show details 80 Mixed Effects Models are Sometimes Terrible ... Eager, Christopher; Roy, Joseph. - : arXiv, 2017 BASE Show details Page: 1 2 3 4 5 6 7 8...28

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