# MASALA: Modelling and Analysing the Semantics of Adpositions in Linguistic Annotation of Hindi

arXiv: https://arxiv.org/abs/2205.03955 · HTML: https://mlsanity.com/paper/2205.03955/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 16 of its 54 references that are in the map.
- First posted on arXiv 8 May 2022.

## Builds on (most cited first, 16 of 16)

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- [Comprehensive Supersense Disambiguation of English Prepositions and Possessives](https://mlsanity.com/paper/1805.04905/) (2018)
- [Estimating the Entropy of Linguistic Distributions](https://mlsanity.com/paper/2204.01469/) (2022)
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- [Text-based NP Enrichment](https://mlsanity.com/paper/2109.12085/) (2021)
- [Adposition and Case Supersenses v2.6: Guidelines for English](https://mlsanity.com/paper/1704.02134/) (2017)
- [A Corpus of Adpositional Supersenses for Mandarin Chinese](https://mlsanity.com/paper/2003.08437/) (2020)
- [PASTRIE: A Corpus of Prepositions Annotated with Supersense Tags in Reddit International English](https://mlsanity.com/paper/2110.12243/) (2021)
- [Hindi-Urdu Adposition and Case Supersenses v1.0](https://mlsanity.com/paper/2103.01399/) (2021)

## Abstract (arXiv)

We present a completed, publicly available corpus of annotated semantic relations of adpositions and case markers in Hindi. We used the multilingual SNACS annotation scheme, which has been applied to a variety of typologically diverse languages. Building on past work examining linguistic problems in SNACS annotation, we use language models to attempt automatic labelling of SNACS supersenses in Hindi and achieve results competitive with past work on English. We look towards upstream applications in semantic role labelling and extension to related languages such as Gujarati.
