Systemic functional linguistics
Text linguistics is a branch of linguistics that deals with texts as communication systems. Its original aims lay in uncovering and describing text grammars. The application of text linguistics has, however, evolved from this approach to a point in which text is viewed in much broader terms that go beyond a mere extension of traditional grammar towards an entire text. Text linguistics takes into account the form of a text, but also its setting, i. e. the way in which it is situated in an interactional, communicative context. Both the author of a (written or spoken) text as well as its addressee are taken into consideration in their respective (social and/or institutional) roles in the specific communicative context. In general it is an application of discourse analysis at the much broader level of text, rather than just a sentence or word. (Wikipedia).
Multimedia on the Web - Multimedia in Linguistics
This E-lecture provides an overview of the basic components required to develop complex linguistic applications. It exemplifies the use of multimedia elements in linguistics, from text to video. A possible application that constitues the focus of this E-Lecture is language documentation.
From playlist Multimedia on the Web
This E-lecture first draws a distinction between dictionaries and lexicons and then discusses the role of the lexicon in linguistics. It shows how lexical entries are specified linguistically.
From playlist VLC206 - Morphology and Syntax
Speaker: Martin Haase How to know what a text in an unknown language is about? It is sometimes necessary to know what a text is about, even if it is written in a language you don't know. This can be quite problematic, if you do not even know in what language it is written. This talk wil
From playlist 24C3: Full steam ahead
This is a single lecture from a course. If you you like the material and want more context (e.g., the lectures that came before), check out the whole course: http://users.umiacs.umd.edu/~jbg/teaching/CMSC_470/ (Including homeworks and reading.) Music: https://soundcloud.com/alvin-grisso
From playlist Computational Linguistics I
In this HTML video, you’ll learn about paragraphs. They help to organize text on websites. We hope you enjoy! To learn more, check out our Basic HTML tutorial here: https://edu.gcfglobal.org/en/basic-html/ #html #htmlparagraphs #coding
From playlist HTML
APL110 - Forensic Linguistics - An Overview
In this overview of Forensic linguistics, Prof. Handke discusses the central goals of this new and growing disipline, as well as the central principles of voice identification and authorship profiling, including a typology of forensic texts.
From playlist Applied Linguistics
GEN108 - Is linguistics a science?
In this video, Prof. Martin Hilpert discusses three parallels between linguistics and natural sciences such as biology and physics. It also highlights three differences.
From playlist Linguistics - A First Encounter
GEN109 - Why study Linguistics?
This video provides you with five reasons why it's a great subject to study, five reasons why you might want to stay away. Find out if linguistics is right for you and listen to and watch Prof. Martin Hilpert's arguments.
From playlist Linguistics - A First Encounter
Computational Linguistics: Crash Course Linguistics #15
Computers are pretty great, and we use them for different language tasks every day. But teaching computers to understand language is surprisingly difficult! In this episode of Crash Course Linguistics, we’ll learn about programming computers to process human language, which is called compu
From playlist Linguistics
Linguistic Engineering - Computers and Linguistics
This introductory E-Lecture about Linguistic Engineering discusses the role of the computer in linguistics. Furthermore, it defines Artificial Intelligence and Computational Linguistics from a theoretical and a practical point of view. Numerous examples illustrate Handke's main points.
From playlist Linguistic Engineering
Ellie Pavlick: "Should we care about linguistics?"
New Deep Learning Techniques 2018 "Should we care about linguistics?" Ellie Pavlick, University of Pennsylvania Abstract: There are countless examples of how deep learning has shattered previously state-of-the-art results on language processing tasks, including machine translation, quest
From playlist New Deep Learning Techniques 2018
GEN107 - Anke Luedeling on "Corpus Linguistics"
Why shall we deal with corpus linguistics? What is so interesting about corpora and what is the benefit of using them? In an interview recorded at Marburg university during the 2nd GAL Conference, Prof. Handke asked Prof. Anke Lüdeling, a well-known corpus linguist in Germany, to give us h
From playlist 5 Reasons - Linguists about their Fields
Wolfram Student Podcast Episode 9: Predicted Native Language of a Writer Based on a Sentence
In the final episode of Season 1 of the Wolfram Student Podcast, we feature Muskan Majahan and her project in determining a writer’s native language based on a sentence. Join us as we discuss key features of natural language processing and how writing style can be analyzed to predict someo
From playlist Wolfram Student Podcast
NLP - What is Natural Language Processing?
Lecturer: Dr. Erin M. Buchanan This video is the first in my series of natural language processing focusing on python's natural language toolkit package. Each week, I'll upload a lecture covering some ideas behind NLP along with the Python section on how to do those analyses with the NLTK
From playlist Natural Language Processing
Computational Semantics: How Computers Know what Words Mean [Lecture]
This is a single lecture from a course. If you you like the material and want more context (e.g., the lectures that came before), check out the whole course: https://boydgraber.org/teaching/CMSC_723/ (Including homeworks and reading.) Music: https://soundcloud.com/alvin-grissom-ii/review
From playlist Computational Linguistics I