Automatic Extraction of Rules Governing Morphological Agreement

An automated framework for extracting a first-pass grammatical specification from raw text in a concise, human- and machine-readable format . We focus on extracting rules describing agreement, a morphosyntactic phenomenon at the core of the grammars of many of the world’s languages . We apply our framework to all languages included in the Universal Dependencies project, with promising results . Using cross-lingual transfer, even with no expert annotations in the language of interest, our framework extracts a grammar specification which is nearly equivalent to those created with large amounts of gold-standard annotated data . We confirm this finding with human expert evaluations of the rules that our framework produces, which have an average accuracy of 78%. We release an interface demonstrating the extracted rules at https://neulab.io/

Links: PDF - Abstract

Code :

https://github.com/Aditi138/LASE-Agreement

Keywords : framework - rules - languages - specification - agreement -

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