# Persian Abstract Meaning Representation: Annotation Guidelines and Gold Standard Dataset

arXiv: https://arxiv.org/abs/2205.07712 · HTML: https://mlsanity.com/paper/2205.07712/

## Key facts

- No citing papers in the map yet (data through 14 Oct 2026).
- Builds on 2 of its 20 references that are in the map.
- First posted on arXiv 16 May 2022.

## Builds on (most cited first, 2 of 2)

- [Cross-lingual Abstract Meaning Representation Parsing](https://mlsanity.com/paper/1704.04539/) (2017)
- [Using Syntax-Based Machine Translation to Parse English into Abstract Meaning Representation](https://mlsanity.com/paper/1504.06665/) (2015)

## Abstract (arXiv)

This paper introduces the Persian Abstract Meaning Representation (AMR) guidelines, a detailed guide for annotating Persian sentences with AMR, focusing on the necessary adaptations to fit Persian's unique syntactic structures. We discuss the development process of a Persian AMR gold standard dataset consisting of 1,562 sentences created following the guidelines. By examining the language specifications and nuances that distinguish AMR annotations of a low-resource language like Persian, we shed light on the challenges and limitations of developing a universal meaning representation framework. The guidelines and the dataset introduced in this study highlight such challenges, aiming to advance the field.