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1
Introduction
2
Universal Dependencies
3
Syntax vs Semantic
4
Semantics
5
Dependencies
6
Parsing
7
ShiftReduce
8
Classification
9
Graphbased
10
Graphbased vs Transitionbased
11
Dynamic Programming
12
Feature Extractor
13
Difficulty
14
Order insensitive encoder
15
Dependency parsing
16
Linguistic informed constraints
17
Definition of required agreement
18
Prediction task
19
Linguistic questions
20
General framework
21
Toolkit
22
Summary
Description:
Explore the fundamentals of syntax and parsing in multilingual natural language processing through this comprehensive lecture by Graham Neubig and Aditi Chaudhary. Delve into major word order concepts, dependency parsing models, and gain insights into AutoLex, a system for linguistic discovery. Learn about Universal Dependencies, the distinctions between syntax and semantics, and various parsing techniques including shift-reduce, graph-based, and transition-based approaches. Examine dynamic programming, feature extraction, and the challenges of dependency parsing across languages. Discover linguistic-informed constraints, agreement requirements, and prediction tasks in NLP. Gain practical knowledge of NLP toolkits and frameworks applicable to multilingual contexts.

CMU Multilingual NLP - Syntax and Parsing

Graham Neubig
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