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Computational Linguistics

This class was created by Brainscape user Marci Coleman. Visit their profile to learn more about the creator.

By: Marci Coleman
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Decks in this class (15)

Regular Expressions
*,
+,
16  cards
Finite State Automata and Transducers
Describe a finite state automata,
The uses of a finite state automata,
How a finite state automata works
7  cards
Working with Probabilities
Conditional dependency probabilit...,
Independent events probability of...,
Independent events probability of...
7  cards
Language Models
Language models,
P the chair hopped away
2  cards
Part-of-speech Tagging and Chunking
Part of speech tagging,
Part of speech tagging approaches,
Default tagger
11  cards
Context-Free Grammars
Context free grammar,
Probabilistic context free grammar,
Chomsky normal form
9  cards
The Chomsky Hierarchy
The chomsky hierarchy,
Regular grammar,
Context free grammar
6  cards
Parsing
Ambiguity with prepositional phrases,
Top down or bottom up strategy,
Chart parsers
5  cards
Evaluation
Confusion matrix,
Accuracy,
Precision
4  cards
Classification, with word sense disambiguation example
Supervised machine learning,
Support vector machines,
Naive bayes classifiers
7  cards
Vector Space Models in Information Retrieval and for Word Meaning
Vector space models,
Applications of vector space models,
Euclidean distance
4  cards
Pattern-Based Approaches for Learning Lexical Information from Text
Pattern based approach,
Hypernymy
2  cards
Information Extraction
Information extraction,
Named entity recognition definiti...,
Relation extraction
6  cards
Sentiment Analysis
Sentiment analysis,
Document sentiment analysis,
Feature based sentiment analysis
9  cards
Machine Translation
Machine translation,
Why is machine translation difficult,
Vaquois triangle
8  cards

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Computational Linguistics

  • Class purpose General learning

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