Semantic textual similarity for modern standard and dialectal Arabic using transfer learning

Semantic Textual Similarity (STS) is the task of identifying the semantic correlation between two sentences of the same or different languages. STS is an important task in natural language processing because it has many applications in different domains such as information retrieval, machine transla...

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Veröffentlicht in:PloS one 2022-08, Vol.17 (8), p.e0272991-e0272991
Hauptverfasser: Al Sulaiman, Mansour, Moussa, Abdullah M, Abdou, Sherif, Elgibreen, Hebah, Faisal, Mohammed, Rashwan, Mohsen
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Sprache:eng
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