The main goal of the ERC Starting Grant project FASTPARSE (Fast Natural Language Parsing for Large-Scale NLP), led by Prof. Carlos Gómez-Rodríguez at the Universidade da Coruña (Spain) is to develop new algorithms and techniques to improve the speed of natural language parsing, making it more suitable for large-scale processing and widely accessible to institutions and individuals without large computational resources.
Parsing is a crucial step for natural language processing applications that need to extract meaning from text, inclusing machine translation, search engines, question answering, sentiment analysis or intelligent assistants.
In this website, we present an online public demo of our parsing approaches, where you can parse sentences in Spanish or English (see DEMO). Note that our models support more languages, although they are not available in this demo. Users who want to know more about the technical details, or download the associated scientific papers and source code, can consult the DETAILS, CODE and PAPERS section. All of our parsers are free software and can be freely used under the corresponding license terms.
This project has received funding from the European Research Council (ERC) under the European Union's Horizon 2020 research and innovation programme (grant agreement No 714150).