000			01936nam a2200241Ia 4500
003			PH-LCIC
005			20251022151218.0
008			240527s2019 xx 000 0 und d
020			_a9781350023826
040			_cLCIC LIBRARY
082			_aREF 410.727 M91
100			_aTony Berber Sardinha _eEditor
245		0	_aMulti-dimensional analysis : _bresearch methods and current issues /
260			_aLondon : _bBloomsbury Academic, _c2019.
300			_a 1 online resource (xiv, 264 pages)
300			_a7848 pages;
520			_a"Multi-dimensional Analysis: Research Methods and Current Issues provides a comprehensive guide both to the statistical methods in Multi-dimensional Analysis (MDA) and its key elements, such as corpus building, tagging, and tools. The major goal is to explain the steps involved in the method so that readers may better understand this complex research framework and conduct MD research on their own. Multi-dimensional Analysis is a method that allows the researcher to describe different registers (textual varieties defined by their social use) such as academic settings, regional discourse, social media, movies, and pop songs. Through multivariate statistical techniques, MDA identifies complementary correlation groupings of dozens of variables, including variables which belong both to the grammatical and semantic domains. Such groupings are then associated with situational variables of texts like information density, orality, and narrativity to determine linguistic constructs known as dimensions of variation, which provide a scale for the comparison of a large number of texts and registers. This book is a comprehensive research guide to MDA."--Bloomsbury Publishing
650			_aCommunication orale
650			_aLANGUAGE ARTS & DISCIPLINES Linguistics Historical & Comparative
650			_aComputational linguistics
700			_aMarcia Veirano Pinto _eEditor
942			_2ddc _cREF
999			_c2777 _d2777