@article{10.1162/TACL.a.704,
    author = {García-Romero, Cristian and Esplà-Gomis, Miquel and Sánchez-Martínez, Felipe},
    title = {Automatic Machine Translation Detection Using a Surrogate Multilingual Translation Model},
    journal = {Transactions of the Association for Computational Linguistics},
    volume = {14},
    pages = {1225-1242},
    year = {2026},
    month = {06},
    abstract = {Modern machine translation (MT) systems depend on large parallel corpora, often collected from the Internet. However, recent evidence indicates that (i) a substantial portion of these texts are machine-generated translations, and (ii) an overreliance on such synthetic content in training data can significantly degrade translation quality. As a result, filtering out non-human translations is becoming an essential pre-processing step in building high-quality MT systems. In this work, we propose a novel approach that directly exploits the internal representations of a surrogate multilingual MT model to distinguish between human and machine-translated sentences. Experimental results show that our method outperforms current state-of-the-art techniques, particularly for non-English language pairs, achieving gains of at least 5 percentage points of accuracy.},
    issn = {2307-387X},
    doi = {10.1162/TACL.a.704},
    url = {https://doi.org/10.1162/TACL.a.704},
    eprint = {https://direct.mit.edu/tacl/article-pdf/doi/10.1162/TACL.a.704/2607013/tacl.a.704.pdf},
}