cophi 1.3.2

A library for preprocessing.

A library for processing text data

cophi is a Python library for handling, modeling and processing text corpora. You can easily pipe a collection of text files using the high-level API:

corpus, metadata = cophi.corpus(directory="british-fiction-corpus",
                                filepath_pattern="**/*.txt",
                                encoding="utf-8",
                                lowercase=True,
                                token_pattern=r"\p{L}+\p{P}?\p{L}+")

You can also plug the DARIAH-DKPro-Wrapper into this pipeline to lemmatize text, or just keep certain word types.

Check out the introducing Jupyter notebook.

Getting started

To install the latest stable version:

$ pip install cophi

To install the latest development version:

$ pip install --upgrade git+https://github.com/cophi-wue/cophi-toolbox.git@testing

Available complexity measures

There are also a plenty of complexity metrics for measuring the lexical richness of (literary) texts.

Measures that use sample size and vocabulary size:

• Type-Token Ratio TTR
• Guiraud’s R
• Herdan’s C
• Dugast’s k
• Maas’ a²
• Dugast’s U
• Tuldava’s LN
• Brunet’s W
• Carroll’s CTTR
• Summer’s S

Measures that use part of the frequency spectrum:

• Honoré’s H
• Sichel’s S
• Michéa’s M

Measures that use the whole frequency spectrum:

• Entropy S
• Yule’s K
• Simpson’s D
• Herdan’s V_m

Parameters of probabilistic models:

• Orlov’s Z