Systemic functional linguistics
In sociolinguistics, a register is a variety of language used for a particular purpose or in a particular communicative situation. For example, when speaking officially or in a public setting, an English speaker may be more likely to follow prescriptive norms for formal usage than in a casual setting, for example, by pronouncing words ending in -ing with a velar nasal instead of an alveolar nasal (e.g., walking rather than walkin'), choosing words that are considered more "formal" (such as father vs. dad or child vs. kid), and refraining from using words considered nonstandard, such as ain't and y'all. As with other types of language variation, there tends to be a spectrum of registers rather than a discrete set of obviously distinct varieties—numerous registers can be identified, with no clear boundaries between them. Discourse categorisation is a complex problem, and even in the general definition of register given above (language variation defined by use rather than user), there are cases where other kinds of language variation, such as regional or age dialect, overlap. Due to this complexity, scholarly consensus has not been reached for the definitions of terms such as register, field, or tenor; different scholars' definitions of these terms are often in direct contradiction of each other. Additional terms such as diatype, genre, text types, style, acrolect, mesolect, basilect, sociolect, and ethnolect, among many others, may be used to cover the same or similar ground. Some prefer to restrict the domain of the term register to a specific vocabulary (which one might commonly call slang, jargon, argot, or cant), while others argue against the use of the term altogether. Crystal and Davy, for instance, have critiqued the way the term has been used "in an almost indiscriminate manner". These various approaches with their own "register", or set of terms and meanings, fall under disciplines such as sociolinguistics, stylistics, pragmatics, or systemic functional grammar. (Wikipedia).
(PP 6.1) Multivariate Gaussian - definition
Introduction to the multivariate Gaussian (or multivariate Normal) distribution.
From playlist Probability Theory
R & Python - Introduction to Human Language Modeling
Lecturer: Dr. Erin M. Buchanan Summer 2020 https://www.patreon.com/statisticsofdoom This video is part of my human language modeling class - this video set covers the updated version with both R and Python. This first video covers the introduction to the course including some basic back
From playlist Human Language (ANLY 540)
Discovering Variables – Combining Numbers for More Powerful Statistics (1-4)
Combining numbers creates variables – values that can vary or take on more than one value. If a value can be measured among a group and that value will be different for at least some of the group members, then you are measuring a variable. You will learn about qualitative (categorical) and
From playlist WK1 Numbers and Variables - Online Statistics for the Flipped Classroom
The repository "VLC300 - Applied Linguistics" is free for everyone. It discusses the disciplines that are listed under the heading of applied linguistics: Psycholinguistics, Language Acquistion and Language Learning, Sociolinguistics, Clinical Linguistics, Forensic Linguistics, to name the
From playlist VLC300 - Applied Linguistics
The Vocabulary of Statistics – Terminology for Beginning Statistics (1-1)
Welcome to the study of statistics! We will begin with an introduction to some new terminology that we will be using in our adventure. I will introduce you to four goals of statistics (to collect, organize, analyze, and interpret data), three meanings of the word “statistics” (practice, pr
From playlist WK1 Numbers and Variables - Online Statistics for the Flipped Classroom
This video explains how to determine mean, median and mode. It also provided examples. http://mathispower4u.yolasite.com/
From playlist Statistics: Describing Data
Introduction to Discrete and Continuous Functions
This video defines and provides examples of discrete and continuous functions.
From playlist Introduction to Functions: Function Basics
Sociolinguistics: Crash Course Linguistics #7
Language is an important part of our identities, and the ways we feel about how others use language is influenced by society. The study of the social element of language, and how it forms part of our identity is sociolinguistics. In this episode of Crash Course Linguistics, we’ll learn abo
From playlist Linguistics
Rasa Reading Group: 'I Can't Reply with That': Characterizing Problematic Email Reply Suggestions
This week we'll be reading "'I Can't Reply with That': Characterizing Problematic Email Reply Suggestions" by Ronald E Robertson, Alexandra Olteanu, Fernando Diaz, Milad Shokouhi and Peter Bailey, which was published at CHI Conference on Human Factors in Computing Systems, Yokohama, Japan
From playlist Rasa Reading Group
Finding more needles by building bigger haystacks - Dr Jacob Eisenstein
Bridging disciplines in analysing text as social and cultural data workshop (21-22 September, 2017) The potential benefits of using large-scale text data to study social and cultural phenomena is increasingly being recognized, but researchers are currently scattered across a range of ofte
From playlist Bridging disciplines in analysing text as social and cultural data
Algebraic Spaces and Stacks: Representabilty
We define what it means for a functor to be representable. We define what it means for a category to be representable.
From playlist Stacks
Percentiles, Deciles, Quartiles
Understanding percentiles, quartiles, and deciles through definitions and examples
From playlist Unit 1: Descriptive Statistics
Introduction to Modern Linguistics by Prof.Shreesh Chaudhary & Prof. Rajesh Kumar,Department of Humanities and Social Sciences,IIT Madras.For more details on NPTEL visit http://nptel.ac.in
From playlist IIT Madras: Introduction to Modern Linguistics | CosmoLearning.org English Language
Rasa Livecoding: Dialect bot (Evaluating Classifiers)
Welcome to Rasa livecoding with Rachael! In this episode, Rachael will be working on evaluating the dialect classifiers we've built using K-Nearest Neighbors and XGBoost and working on picking the best one to use for our bot's custom action. What's livecoding? It's folks working on real p
From playlist Live Coding
VARIABLES in Statistical Research (2-1)
A variable is any characteristic that can vary. An organized collection of numbers can be a variable. Qualitative variables indicate an attribute or belongingness to a category. Dichotomous variables are discrete variables that can have two and only two values. Quantitative variables indic
From playlist Forming Variables for Statistics & Statistical Software (WK 2 - QBA 237)
R - Linguistic Geography with Multidimensional Scaling
Lecturer: Dr. Erin M. Buchanan Summer 2019 https://www.patreon.com/statisticsofdoom This video is part of my human language modeling class. This video explores how we can understand vector space (language in dimensional space) using multidimensional scaling. Note: these videos are part
From playlist Human Language (ANLY 540)
Mod-01 Lec-02 The Scope of English Studies
English Language and Literature by Dr. Liza Das & Dr. Krishna Barua,Department of Humanities and Social Sciences,IIT Guwahati.For more details on NPTEL visit http://nptel.ac.in
From playlist IIT Guwahati: English Language and Literature | CosmoLearning.org English Language
Linguistics in a Colonial World: A Story of Language, Meaning, and Power
Professor Errington is interested in the linguistic dimensions of social life, ranging from the social implications of patterns of verbal communication, to forms and uses of sociolinguistic hierarchies, to the linguistic effects of large scale dynamics. His research and writing have focus
From playlist The MacMillan Report
10b Data Analytics: Spatial Continuity
Lecture on the impact of spatial continuity to motivate characterization and modeling of spatial continuity.
From playlist Data Analytics and Geostatistics