Head-driven phrase structure grammar

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

SYN126 - Head Nouns - Noun Classes

In this first of two E-Lectures about head nouns in PDE, Prof. Handke discusses the grammatical and semantic criteria that keep different types of nouns and their function apart. As usual, numerous examples are used to support the central argumentation.

From playlist VLC201 - The Structure of English

SYN109 - More on Constituents II

In this second E-Lecture about X-bar syntax which builds upon the E-Lectures "Constituent tests", "Constituent analysis - first steps", and "More on Constituents I", Prof. Handke discusses the internal structure of the constituents IP and CP, and introduces some syntactic problems that eve

From playlist Phrase Structure - X-Bar Syntax

MOR_019 - Linguistic Micro-Lectures: Headedness (in Compounds)

In this morphological micro-lecture, Prof. Handke shows how heads can be defined in compounds and in what way they contribute to the semantic interpretation of compounds.

From playlist Micro-Lectures - Morphology

SYN_212 - Linguistic Video Scribes - Constituent Analysis: The NP

This video scribe where Prof. Handke outlines the structure of the Noun Phrase is supplementary to the e-lecture "More on Constituents I" where the central principles of X-bar Syntax are discussed and exemplified.

From playlist Linguistic Video Scribes - Constituent Analysis

SYN126 - Head Nouns - Noun Features

In this second E-Lecture about Head Nouns, Prof. Handke discusses the central grammatical features associated with Head Nouns: Number, Gender, and Case. This includes a discussion of the morphological operations involved in the formation of these declensional properties.

From playlist VLC201 - The Structure of English

SYN108 - More on Constituents I

In this gentle introduction to X-bar syntax which builds upon the E-Lectures "Constituent tests" and "Constituent analysis - first steps", Prof. Handke first discusses the internal structure of the constituents: AP, AdvP, NP, VP, and PP, before he generalizes the structure of these constit

From playlist Phrase Structure - X-Bar Syntax

[c] Introduction to Linked Lists

From playlist Data Structures

Python - Analyzing Sentence Structure

Lecturer: Dr. Erin M. Buchanan Summer 2019 https://www.patreon.com/statisticsofdoom This video covers how to analyze sentence structure using Python and nltk. This video scales up the parsing discussion from the previous chapter, looking more at parse trees and how to parse effectively. Y

From playlist Natural Language Processing

Stanford CS224N - NLP w/ DL | Winter 2021 | Lecture 4 - Syntactic Structure and Dependency Parsing

For more information about Stanford's Artificial Intelligence professional and graduate programs visit: https://stanford.io/3w4757l Syntactic Structure and Dependency parsing 1. Syntactic Structure: Consistency and Dependency (30 mins) 2. Dependency Grammar and Treebanks (15 mins) 3. Tran

From playlist Stanford CS224N: Natural Language Processing with Deep Learning | Winter 2021

Program Language Translation Using a Grammar-Driven Tree-to-Tree Model | TDLS

Toronto Deep Learning Series, 30 July 2018 For slides and more information, visit https://tdls.a-i.science/events/2018-07-30/ Paper Review: https://arxiv.org/abs/1807.01784 Speaker: Alex Hesammohseni Organizer: https://www.linkedin.com/in/amirfz/ Host: Microsoft Canada Paper abstract:

From playlist Natural Language Processing

SYN_020 - Linguistic Micro-Lectures: Syntactic Trees

In this short micro-lecture, Aaron Cook, one of Prof. Handke's students, discusses the notion of the "syntactic tree", a central concept in syntax.

From playlist Micro-Lectures - Syntax

R & Python - Parsing Part 1

Lecturer: Dr. Erin M. Buchanan Summer 2020 https://www.patreon.com/statisticsofdoom This video is part of my Natural Language Processing course. This video covers parsing, which is creating sentence structure for understanding meaning. You will learn both traditional constituency parsin

From playlist Natural Language Processing

R & Python - Part of Speech Tagging Part 1 (2022)

Lecturer: Dr. Erin M. Buchanan Spring 2022 https://www.patreon.com/statisticsofdoom This video is part of my Natural Language Processing course. This video covers part of speech tagging in both R and Python using some popular packages of nltk, spacy, and udpipe. You can learn more abou

From playlist Natural Language Processing

R & Python - Parsing Part 2

Lecturer: Dr. Erin M. Buchanan Summer 2020 https://www.patreon.com/statisticsofdoom This video is part of my Natural Language Processing course. This video covers parsing, which is creating sentence structure for understanding meaning. You will learn both traditional constituency parsin

From playlist Natural Language Processing

Stanford CS224N: NLP with Deep Learning | Winter 2019 | Lecture 18 – Constituency Parsing, TreeRNNs

For more information about Stanford’s Artificial Intelligence professional and graduate programs, visit: https://stanford.io/3wL2FCD Professor Christopher Manning, Stanford University http://onlinehub.stanford.edu/ Professor Christopher Manning Thomas M. Siebel Professor in Machine Lear

From playlist Stanford CS224N: Natural Language Processing with Deep Learning Course | Winter 2019

Lecture 15: Syntax, Part 5

MIT 24.900 Introduction to Linguistics, Spring 2022 Instructor: Prof. Norvin W. Richards View the complete course: https://ocw.mit.edu/courses/24-900-introduction-to-linguistics-spring-2022/ YouTube Playlist: https://www.youtube.com/playlist?list=PLUl4u3cNGP63BZGNOqrF2qf_yxOjuG35j This v

From playlist MIT 24.900 Introduction to Linguistics, Spring 2022

R & Python - Parsing Part 2 (2022)

Lecturer: Dr. Erin M. Buchanan Spring 2022 https://www.patreon.com/statisticsofdoom This video is part of my Natural Language Processing course. This video covers parsing, which is creating sentence structure for understanding meaning. You will learn both traditional constituency parsin

From playlist Natural Language Processing

Python - Information Extraction Part 1 (2023 New)

Lecturer: Dr. Erin M. Buchanan Spring 2023 https://www.patreon.com/statisticsofdoom In this video, you will learn about information extraction: keyphrase extraction, named entity recognition/disambiguation, and relation extraction. You will learn about spacy, textacy, and more python p

From playlist Natural Language Processing

SYN_1957 - Syntactic Structures (N. Chomsky)

Within less than two minutes Prof. Handke and his team discuss and illustrate the content of this major contribution to the field of linguistics. The videos of this series are supplementary to the E-Lectures and the Virtual Sessions that constitute the respective E-Learning unit on the Vir

From playlist Influential Linguistic Publications