Measuring cross-language intelligibility between Romance languages with computational tools
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Abstract (arXiv)
We present an analysis of mutual intelligibility in related languages applied for languages in the Romance family. We introduce a novel computational metric for estimating intelligibility based on lexical similarity using surface and semantic similarity of related words, and use it to measure mutual intelligibility for the five main Romance languages (French, Italian, Portuguese, Spanish, and Romanian), and compare results using both the orthographic and phonetic forms of words as well as different parallel corpora and vectorial models of word meaning representation. The obtained intelligibility scores confirm intuitions related to intelligibility asymmetry across languages and significantly correlate with results of cloze tests in human experiments.
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References · 4
- 2019Sentence-BERT: Sentence Embeddings using Siamese BERT-Networkscited by 9,049
- 2016Enriching Word Vectors with Subword Informationcited by 1,578
- 2018Loss in Translation: Learning Bilingual Word Mapping with a Retrieval Criterioncited by 69
- 2024A Systematic Comparison of Contextualized Word Embeddings for Lexical Semantic Changecited by 21
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