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2019 | OriginalPaper | Chapter

Programmatic Link Grammar Induction for Unsupervised Language Learning

Authors : Alex Glushchenko, Andres Suarez, Anton Kolonin, Ben Goertzel, Oleg Baskov

Published in: Artificial General Intelligence

Publisher: Springer International Publishing

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Abstract

Although natural (i.e. human) languages do not seem to follow a strictly formal grammar, their structure analysis and generation can be approximated by one. Having such a grammar is an important tool for programmatic language understanding. Due to the huge number of natural languages and their variations, processing tools that rely on human intervention are available only for the most popular ones. We explore the problem of unsupervisedly inducing a formal grammar for any language, using the Link Grammar paradigm, from unannotated parses also obtained without supervision from an input corpus. The details of our state-of-the-art grammar induction technology and its evaluation techniques are described, as well as preliminary results of its application on both synthetic and real world text-corpora.

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Metadata
Title
Programmatic Link Grammar Induction for Unsupervised Language Learning
Authors
Alex Glushchenko
Andres Suarez
Anton Kolonin
Ben Goertzel
Oleg Baskov
Copyright Year
2019
Book
Artificial General Intelligence

Print ISBN: 978-3-030-27004-9

Electronic ISBN: 978-3-030-27005-6

Copyright Year: 2019

DOI
https://doi.org/10.1007/978-3-030-27005-6_11

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