作者: W.S.N. Dilshani , S. Yashothara , R. T. Uthayasanker , S. Jayasena
DOI: 10.1109/IALP.2018.8629113
关键词: Tamil 、 Natural language processing 、 Divergence (linguistics) 、 Machine translation 、 Semantics 、 Computer science 、 Artificial intelligence
摘要: This paper presents a study of the lexical-semantic divergence between Sinhala and Tamil languages. Study is critical as differences in linguistic extra-linguistic features languages play pivotal roles translation. research first based on Dorr's classification. We propose computer-assisted procedure using statistical machine translation, which easy gives good performance compared to traditional approaches. Accordingly, this has twin aims revisiting classification types outlined by Dorr outlining some new patterns specific proposes rule-based algorithm classify divergence.