Various operations implemented on different Corpora installed from the Python Library 'nltk'
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Updated
Oct 13, 2022 - Jupyter Notebook
Various operations implemented on different Corpora installed from the Python Library 'nltk'
Gets text and extracts sentences in a language from text using that language's lexicon.
Collection of tools for building diachronic/historical word vectors
This project delves into the preprocessing and exploratory data analysis of a corpus, where initial phase involves constructing into individual articles using journalistic approach.
Corpus processing library
Corpus Processing Library
Napkin is a simple tool to produce statistical analysis of a text
Python scripts for the construction of the LEXB parallel corpus of South Tyrolean legislation (IT-DE).
Frequency List Wizard is a command-line program that does various useful things with... frequency lists.
This package provides utility classes and static methods for Python that make use of different third party software commonly used in text processing such as: Unitex-GramLab, TreeTagger, Apache-Tika and Google-Tesseract.
Tareas de Procesamiento del lenguaje natural
Corpus Processing Library
Tidy concordances, collocates, and wordlist
Repositório para disponibilização de bases de dados do Wikipedia e Simple Wikipedia pré-processadas, além de scripts de pré-processamento e geração de bases em Python.
We designed an Information Retrieval system based on Vector Space model in python. We Also have implemented Bi gram Indices for Phrasal query search and Champion List retrieval. We also compared time of whole retrieving in our project report.
Mozilla Firefox places.sqlite tables exported to XML files. A Bash script.
Project "Text Mining Female Masculinity in Sixteenth and Seventeenth-Century Britain" and other coursework from McGill Literary Text Mining graduate seminar. Uses Python, Jupyter Notebooks.
Companion website for "Corpus Approaches to Language in Social Media" - source and build versions
The DEWmodel-Climatechange contains code to preprocess corpus and build DWE model. This work is part of the FRGS/1/2020/SSI0/UKM/02/1 project. Copyright @sabrinatiun2022
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