Grammar Induction for Minimalist Grammars using Variational Bayesian Inference : A Technical Report

2017-10-31 · Eva Portelance, Amelia Bruno, Daniel Harasim, Leon Bergen, Timothy J. O'Donnell

The following technical report presents a formal approach to probabilistic minimalist grammar parameter estimation. We describe a formalization of a minimalist grammar. We then present an algorithm for the application of variational Bayesian inference to this formalization.

📄 PDF Abstract BibTeX arXiv:1710.11350

Code (1)

mcqll/mcqll.github.io

Tasks

Bayesian Inferenceparameter estimation

Automatic Induction of Minimalist Grammars

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2008-12-01 · NeurIPS 2008 12 · Phil Blunsom, Trevor Cohn, Miles Osborne

We present a novel method for inducing synchronous context free grammars (SCFGs) from a corpus of parallel string pairs. SCFGs can model equivalence between strings in terms of substitutions, insertions and deletions, an…

Machine Translation Translation

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Chunking

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We introduce a novel nonparametric Bayesian model for the induction of Combinatory Categorial Grammars from POS-tagged text. It achieves state of the art performance on a number of languages, and induces linguistically p…

model POS