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Spanish Resource Grammar version 2023

arXiv 2309.13318 ↗First posted 23 Sep 2023cs.CLcited by 1

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Abstract (arXiv)

We present the latest version of the Spanish Resource Grammar (SRG), a grammar of Spanish implemented in the HPSG formalism. Such grammars encode a complex set of hypotheses about syntax making them a resource for empirical testing of linguistic theory. They also encode a strict notion of grammaticality which makes them a resource for natural language processing applications in computer-assisted language learning. This version of the SRG uses the recent version of the Freeling morphological analyzer and is released along with an automatically created, manually verified treebank of 2,291 sentences. We explain the treebanking process, emphasizing how it is different from treebanking with manual annotation and how it contributes to empirically-driven development of syntactic theory. The treebanks' high level of consistency and detail makes them a resource for training high-quality semantic parsers and generally systems that benefit from precise and detailed semantics. Finally, we present the grammar's coverage and overgeneration on 100 sentences from a learner corpus, a new research line related to developing methodologies for robust empirical evaluation of hypotheses in second language acquisition.

Key facts. Cited by 1 paper in the map (data through 14 Oct 2026). Builds on 3 of its 54 references that are in the map. First posted on arXiv 23 Sep 2023.

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3 of 54 references.

References · 3

  1. 2017Robust Incremental Neural Semantic Graph Parsingcited by 13
  2. 2023Revisiting Supertagging for Faster HPSG Pasingcited by 4
  3. 2023Neural-Symbolic Inference for Robust Autoregressive Graph Parsing via Compositional Uncertainty Quantificationcited by 2

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