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Artext is a work on injecting noise into text without affecting the core meaning for a human reader. This kind of data can be useful for many NLP tasks, particulary to make models robust to erroneous text. This is a work in progress, and we will publish the results of our experiments soon. Meanwhile, if you use artext in your research please cite this repository.
Github: https://github.com/nlpcl-lab/artext
Grammar for simple assertions in Spanish, implemented in Prolog's DCGs
In this project a grammar covering simple assertions in Spanish is presented. It was implemented in Prolog, using Definite-Clause Grammars. It is aimed at providing a tool to understand the usefulness in Prolog to do NLP (what lead, in fact, to its birth back in the 70s), as well as to provide the reader with a full, though concise, generative grammar of Spanish.
Clipsyll is a collection of scripts and programs for dowloading, codifying, analysing (using NLTK) CLIPS, the largest Italian corpus of spoken language. It includes a syllabification module based on the SSP: http://sourceforge.net/projects/silly