Lecture

Text Processing: Humanities Computing and Linguistics

Related lectures (29)

Text Processing: Large Digital Text Collections Analysis

Delves into the processing of large digital text collections, exploring hidden regularities, text reuse, and TF-IDF analysis.

Normed Spaces

Covers normed spaces, dual spaces, Banach spaces, Hilbert spaces, weak and strong convergence, reflexive spaces, and the Hahn-Banach theorem.

Normed Spaces & Reflexivity

Covers normed spaces, Banach spaces, and Hilbert spaces, as well as dual spaces and weak convergence.

Interpolation Spaces

Explores interpolation spaces in Banach spaces, emphasizing real continuous interpolation spaces and the K-method.

Approximation by Smooth Functions

Discusses approximation by smooth functions and the convergence of function sequences in normed vector spaces.

Vector Space Semantics (and Information Retrieval)

Explores the Vector Space model, Bag of Words, tf-idf, cosine similarity, Okapi BM25, and Precision and Recall in Information Retrieval.

Definition of Sobolew Spaces

Explains the definition of Sobolew spaces and their main properties, focusing on weak denivelre.

Introduction to Natural Language Processing

Introduces the basics of Natural Language Processing, covering challenges, application domains, and linguistic processing levels.

Tools for (Re)feminization

Explores tools for (re)feminization in language, including doublets and contracted forms.

Properties of Weak Derivatives

Explores weak derivatives in Sobolev spaces, discussing their properties and uniqueness.

Determinantal Point Processes and Extrapolation

Covers determinantal point processes, sine-process, and their extrapolation in different spaces.

Language and Thought

Delves into how language shapes perception and attention, influencing our understanding.

Linguistics of Large Numbers

Explores the analysis of large numbers in linguistics and the evolution of language complexity using various texts and corpora.

The Future: Computational Linguistics and Deep Learning

Explores the influence of computational linguistics on deep learning architectures, covering grammar formalisms, connectionism, variable binding, and future directions.

Introduction to NLP and the Course

Covers the basics of Natural Language Processing, including challenges, linguistic processing levels, and the impact of power laws.

Analysis: Recap and Normed Space R^n

Covers a recap of Analysis 1 and 2, emphasizing normed space R^n, subsets, and continuous functions.

Functional Analysis: Banach and Hilbert Spaces

Covers Banach and Hilbert spaces, separability, norm, continuity, and functional analysis.

Bridge Design: Steel Construction Details

Covers the design of bridge bearings and girders, retrofitting systems, and construction techniques.

Lp Spaces: Introduction

Introduces Lp spaces, covering norms, inequalities, and integrability of functions.

Quantum and Nanocomputing

Covers quantum wire analysis, transmission function, and tunneling in dots.