# ARPA: Armenian Paraphrase Detection Corpus and Models

arXiv: https://arxiv.org/abs/2009.12615 · HTML: https://mlsanity.com/paper/2009.12615/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 26 Sep 2020.

## Built on by (most cited first, 3 of 3)

- [LR-Sum: Summarization for Less-Resourced Languages](https://mlsanity.com/paper/2212.09674/) (2022)
- [EENLP: Cross-lingual Eastern European NLP Index](https://mlsanity.com/paper/2108.02605/) (2021)
- [The power of text similarity in identifying AI-LLM paraphrased documents: The case of BBC news articles and ChatGPT](https://mlsanity.com/paper/2505.12405/) (2025)

## Abstract (arXiv)

In this work, we employ a semi-automatic method based on back translation to generate a sentential paraphrase corpus for the Armenian language. The initial collection of sentences is translated from Armenian to English and back twice, resulting in pairs of lexically distant but semantically similar sentences. The generated paraphrases are then manually reviewed and annotated. Using the method train and test datasets are created, containing 2360 paraphrases in total. In addition, the datasets are used to train and evaluate BERTbased models for detecting paraphrase in Armenian, achieving results comparable to the state-of-the-art of other languages.