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
Logic: The Structure of Reason
As a tool for characterizing rational thought, logic cuts across many philosophical disciplines and lies at the core of mathematics and computer science. Drawing on Aristotle’s Organon, Russell’s Principia Mathematica, and other central works, this program tracks the evolution of logic, be
From playlist Logic & Philosophy of Mathematics
Why should (Computational) Linguists use the Grammar of Graphics packages like ggplot2? [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_848/ (Including homeworks and reading.) Music: https://soundcloud.com/alvin-grissom-ii/review
From playlist Communication Howto
CONCRETE NOUNS and ABSTRACT NOUNS - ENGLISH GRAMMAR
Concrete nouns are nouns that can be heard, tasted, smelled, touched, or seen. Abstract nouns are nouns that can be believed, felt emotionally, understood, learned, or known. LIKE AND SHARE THE VIDEO IF IT HELPED! Support me on Patreon: http://bit.ly/2EUdAl3 Visit our website: http://
From playlist English Grammar
There is a great deal of confusion about the term 'grammar'. Most people associate with it a book written about a language. In fact, there are various manifestations of this traditional term: presecriptive, descriptive and reference grammar. In theoretical linguistics, grammars are theory
From playlist VLC107 - Syntax: Part II
How a Computer know a Sentence is Grammatical: Context Free Grammars [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
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
How to Turn Words into Trees: Dependency Parsing [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
PSY 523 Foundations of Language Part 2
Lecturer: Dr. Erin M. Buchanan Missouri State University Summer/Fall 2016 PSY 523 Psychology and Language lectures covering material from Harley's The Psychology of Language: From Data to Theory. Lecture materials and assignments available at statisticsofdoom.com. https://statisticsofdo
From playlist PSY 523 Psychology and Language
Noam Chomsky on Theories of Linguistics (Part 2) | Closer To Truth Chats
Closer To Truth has just launched a new website! We can't wait for you to see what we've been working on. New seasons (including the web debut of Season 21), interviews, topic guides, curated playlists, candid conversations, book excerpts, essays, and announcements. Visit today: www.Closer
From playlist Closer To Truth Chats
Noam Chomsky on Linguistic Theories and the Evolution of Language (Part 3) | Closer To Truth Chats
Closer To Truth is proud to present this four-part miniseries with distinguished theoretical linguist, analytic philosopher, and cognitive scientist Noam Chomsky. In Part 3, Chomsky discusses linguistic theories for human sentience and cognition (most notably a Universal Grammar), the evol
From playlist Closer To Truth Chats
PSY 523 - Describing Language Part 2
Lecturer: Dr. Erin M. Buchanan Missouri State University Summer/Fall 2016 PSY 523 Psychology and Language lectures covering material from Harley's The Psychology of Language: From Data to Theory. Lecture materials and assignments available at statisticsofdoom.com. https://statisticsofdo
From playlist PSY 523 Psychology and Language
PSY 523 Foundations of Language Part 1
Lecturer: Dr. Erin M. Buchanan Missouri State University Summer/Fall 2016 PSY 523 Psychology and Language lectures covering material from Harley's The Psychology of Language: From Data to Theory. Lecture materials and assignments available at statisticsofdoom.com. https://statisticsofdo
From playlist PSY 523 Psychology and Language
Stanford Seminar - Using Big Data to Discover Tacit Knowledge and Improve Learning
Ken Koedinger Carnegie Mellon University This seminar series features dynamic professionals sharing their industry experience and cutting edge research within the human-computer interaction (HCI) field. Each week, a unique collection of technologists, artists, designers, and activists wil
From playlist Stanford Seminars
MAE900_Week 9_ANOVA_11 Oct 2021
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From playlist Language Assessment & Technology
Noam Chomsky's Reflections on Philosophy and Linguistics (Part 1) | Closer To Truth Chats
Closer To Truth has just launched a new website! We can't wait for you to see what we've been working on. New seasons (including the web debut of Season 21), interviews, topic guides, curated playlists, candid conversations, book excerpts, essays, and announcements. Visit today: www.Closer
From playlist Closer To Truth Chats
Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 5 – Dependency Parsing
For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3Dev1Yj Professor Christopher Manning Thomas M. Siebel Professor in Machine Learning, Professor of Linguistics and of Computer Science Director, Stanford Artificial
From playlist Stanford CS224N: Natural Language Processing with Deep Learning Course | Winter 2019
What do all languages have in common? - Cameron Morin
Dig into Noam Chomsky’s theory of universal grammar and decide: are there universal grammar rules and are they hardwired into our brains? -- Language is endlessly variable. Each of us can come up with an infinite number of sentences in our native language, and we’re able to do so from an
From playlist New TED-Ed Originals
NOUN PHRASES - ENGLISH GRAMMAR
We discuss noun phrases. Noun phrases consist of a head noun, proper name, or pronoun. Noun phrases can be modified by adjective phrases or other noun phrases. Noun phrases take determiners as specifiers. We also draw trees for noun phrase. you want to support the channel, hit the "JOIN"
From playlist English Grammar