Abstract Syntax as Interlingua: Scaling Up the Grammatical Framework from Controlled Languages to Robust Pipelines
What it is about
A survey of Grammatical Framework (GF) as an interlingua: one shared abstract syntax, with a concrete grammar per language, over forty languages in the resource library. Early use was in controlled languages, where translation reached BLEU scores of about 80 or more against post-edited references. Scaling to open text needs robust parsing, and the paper describes fallback layers: a semantic grammar, then a syntactic grammar, then chunks (lists of phrases that do not agree with each other), then verbatim strings. Chunks give the most robust output, and longer chunks fix agreement and word order. The paper connects the abstract syntax to Universal Dependencies in both directions, with a lossy step from trees to abstract syntax and a configuration for each language. It also covers data augmentation (generating treebank trees) and links to WordNet, FrameNet and AMR. The conclusion calls the core of GF solid and the wide-coverage parts the open work.
Ideas
- I1. Explicit fallback layers in the encoder: a concept, then a syntactic chunk, then the word string. Report which layer produced each token. The exact-mode residual already counts per layer, so this adds the layer label.
- I2. Chunk-level output: the encoder keeps chunks of maximal length with their inner relations, so agreement inside a chunk holds (open problem 3), and the chunks are joined in meta-world order. The paper shows that longer chunks fix agreement.
- I3. Modifier order: an abstract tree does not fix the order of stacked adjectives, so one tree gives two target orders. Choose by a counted Markov chain over classes in
en/src/lin.rs, break ties byBTreeMaporder, and check the output twice on the same input. - I4. Generation as augmentation: produce extra verses from the grammar where the Bible has gaps, and test whether they help the standard on unseen concept combinations. Measure on held-out verses only.
For Mova
The code is tools/translate/profile.rs and en/src/lin.rs. I1 and I2 address open problem 3 and the layers of the residual, I3 is the ordering question of the linearizer, and I4 is a test that must keep the held-out rule.
Cite
@article{ranta2020abstract,
title = {{Abstract Syntax as Interlingua: Scaling Up the Grammatical Framework from Controlled Languages to Robust Pipelines}},
author = {Ranta, Aarne and Angelov, Krasimir and Gruzitis, Normunds and Kolachina, Prasanth},
journal = {Computational Linguistics},
year = {2020},
doi = {10.1162/coli\_a\_00378},
url = {https://doi.org/10.1162/coli_a_00378}
}References
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