# UsingWord Embedding for Cross-Language Plagiarism Detection

arXiv: https://arxiv.org/abs/1702.03082 · HTML: https://mlsanity.com/paper/1702.03082/

## Key facts

- Cited by 3 papers in the map (data through 14 Oct 2026).
- First posted on arXiv 10 Feb 2017.

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

- [Proactive and Reactive Engagement of Artificial Intelligence Methods for Education: A Review](https://mlsanity.com/paper/2301.10231/) (2023)
- [Detecting Cross-Language Plagiarism using Open Knowledge Graphs](https://mlsanity.com/paper/2111.09749/) (2021)
- [A Simple and Effective Method of Cross-Lingual Plagiarism Detection](https://mlsanity.com/paper/2304.01352/) (2023)

## Abstract (arXiv)

This paper proposes to use distributed representation of words (word embeddings) in cross-language textual similarity detection. The main contributions of this paper are the following: (a) we introduce new cross-language similarity detection methods based on distributed representation of words; (b) we combine the different methods proposed to verify their complementarity and finally obtain an overall F1 score of 89.15% for English-French similarity detection at chunk level (88.5% at sentence level) on a very challenging corpus.