Found in Translation: Reconstructing Phylogenetic Language Trees from Translations
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Abstract (arXiv)
Translation has played an important role in trade, law, commerce, politics, and literature for thousands of years. Translators have always tried to be invisible; ideal translations should look as if they were written originally in the target language. We show that traces of the source language remain in the translation product to the extent that it is possible to uncover the history of the source language by looking only at the translation. Specifically, we automatically reconstruct phylogenetic language trees from monolingual texts (translated from several source languages). The signal of the source language is so powerful that it is retained even after two phases of translation. This strongly indicates that source language interference is the most dominant characteristic of translated texts, overshadowing the more subtle signals of universal properties of translation.
Key facts. Cited by 6 papers in the map (data through 7 Oct 2026). First posted on arXiv 24 Apr 2017.
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Citing papers per year: 2021: 2; 2022: 1; 2023: 0; 2024: 1; 2025: 0; 2026: 2.
6 papers.
- 2021Comparing Feature-Engineering and Feature-Learning Approaches for Multilingual Translationese Classificationcited by 13
- 2021Language Embeddings for Typology and Cross-lingual Transfer Learningcited by 8
- 2022Word-order typology in Multilingual BERT: A case study in subordinate-clause detectioncited by 3
- 2024Exploring language relations through syntactic distances and geographic proximitycited by 1
- 2026An Investigation of Translationese in the Generations of Multilingual Large Language Modelscited by 0
- 2026Self-Supervised Lexical Representation Learning for Fast, Large-Scale Phylogenetic Inferencecited by 0
- 2026Self-Supervised Lexical Representation Learning for Fast, Large-Scale Phylogenetic Inference4 Sep 2026
- 2026An Investigation of Translationese in the Generations of Multilingual Large Language Models18 Aug 2026
- 2024Exploring language relations through syntactic distances and geographic proximity27 Mar 2024
- 2022Word-order typology in Multilingual BERT: A case study in subordinate-clause detection24 May 2022
- 2021Comparing Feature-Engineering and Feature-Learning Approaches for Multilingual Translationese Classification15 Sep 2021
- 2021Language Embeddings for Typology and Cross-lingual Transfer Learning3 Jun 2021