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CSAw is an NLP framework for low-resource languages with a focus on machine translation. The primary goal is to build language models automatically from bilingual text (e.g., front and back translations) using a deep transfer rule-based approach. The core of this strategy is the Concept Specification and Abstraction semantic representation which is specially designed with machine translation in mind. See the preprint article here: https://arxiv.org/abs/1807.02226 The current framework includes transduction algorithms (i.e., from text to semantic representation and back again) and some components needed for automatic language model building (lexical alignment and grammar rule generation). ...

...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.

...THIS IS AWESOME... So i decided why not do this for the whole world. ALl u have to do is 1. Email me XML and wait 2. In about a week I will parse the xml and email back simple :) SPECIAL FEATURE: NATURAL LANGUAGE PROCESSING make spelling mistakes and I will get it :) Pls comment below, I love this s***