Papers with language-specific grammars

2 papers
Morphological Inflection with Phonological Features (2023.acl-short)

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Challenge: Recent advances in morphological tasks can be difficult to solve when little training data is available or when generalizing to previously unseen lemmas.
Approach: They propose two methods to manipulate phonemic data to include phonological features instead of characters.
Outcome: The proposed methods yield comparable results to baseline models, with minor improvements in some languages.
Minimally-Supervised Morphological Segmentation using Adaptor Grammars with Linguistic Priors (2021.findings-acl)

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Challenge: Unsupervised morphological segmentation is an essential subtask in many natural language processing applications.
Approach: They introduce two types of priors: grammar definition and linguist-provided affixes . they show that priors boost morphological segmentation performance in a minimally-supervised manner .
Outcome: The proposed priors achieve 8.9% and 34.2% error reductions over the state-of-the-art unsupervised system.

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