CAMeL Lab

CAMeL Lab's repositories

Material for the Text Analysis of Arabic course taught at the NYU Abu Dhabi Winter Institute in Digital Humanities 2020.

Language:Jupyter Notebook12 20

The complete [1 to 5]-gram Gumar Corpus in the style of Google n-grams.

A tool for improving the output of generic Arabic OCR systems using an n-gram based post-correction approach.

Language:HTMLApache-2.07 4 1

Unsupervised, De-lexical, Linguistic Segmentation

Language:PythonGPL-3.05 20

Language:PythonMIT2 20

A Modern Standard Arabic Closed-Class Word List

Code for "Utilizing Character and Word Embeddings for Text Normalization with Sequence-to-Sequence Models"

Language:Python1 40