This is the Linux app named GT NLP Class whose latest release can be downloaded as gt-nlp-classps5sourcecode.zip. It can be run online in the free hosting provider OnWorks for workstations.
Download and run online this app named GT NLP Class with OnWorks for free.
Siga estas instrucciones para ejecutar esta aplicación:
- 1. Descargue esta aplicación en su PC.
- 2. Ingrese en nuestro administrador de archivos https://www.onworks.net/myfiles.php?username=XXXXX con el nombre de usuario que desee.
- 3. Cargue esta aplicación en dicho administrador de archivos.
- 4. Inicie el emulador en línea OnWorks Linux o Windows en línea o el emulador en línea MACOS desde este sitio web.
- 5. Desde el SO OnWorks Linux que acaba de iniciar, vaya a nuestro administrador de archivos https://www.onworks.net/myfiles.php?username=XXXXX con el nombre de usuario que desee.
- 6. Descarga la aplicación, instálala y ejecútala.
SCREENSHOTS
Ad
GT NLP Class
DESCRIPCIÓN
This repository contains lecture notes, slides, assignments, and code for a university-level Natural Language Processing course. It spans core NLP topics such as language modeling, sequence tagging, parsing, semantics, and discourse, alongside modern machine learning methods used to solve them. Students work through programming exercises and problem sets that build intuition for both classical algorithms (like HMMs and CRFs) and neural approaches (like word embeddings and sequence models). The materials emphasize theory grounded in practical experimentation, often via Python notebooks or scripts that visualize results and encourage ablation studies. Clear organization and self-contained examples make it possible to follow along outside the classroom, using the repo as a self-study resource. For learners and instructors alike, the course provides a coherent path from foundational linguistics to current techniques, with reproducible code that makes concepts concrete.
Caracteristicas
- Lecture notes covering both theoretical and empirical techniques in NLP
- Projects and assignments for hands-on experience with NLP models and algorithms
- Readings from literature to complement the technical content
- Grading/policy materials to structure the course
- Includes work on topics such as syntactic, semantic, and distributional models of language
- Provides examples of current or recent research problems in NLP for student engagement
Lenguaje de programación
Python
Categorías
This is an application that can also be fetched from https://sourceforge.net/projects/gt-nlp-class.mirror/. It has been hosted in OnWorks in order to be run online in an easiest way from one of our free Operative Systems.