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pro vyhledávání: '"Sandra Satish"'
Autor:
Sahana Angadi, Kavitha Karimbi Mahesh, Suman Nayak, Evita Coelho, Sandra Satish, Vaishnavi Naik
Publikováno v:
Algorithms for Intelligent Systems ISBN: 9789813346031
Bilingual subword correspondences have been proven to be significant in tackling the problem of out-of-vocabulary terms. In this paper, we present results of our study focused on automatic learning of bilingual subword units for translation lexicon a
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::f4a726ef8a4161446c3cc66790137be6
https://doi.org/10.1007/978-981-33-4604-8_30
https://doi.org/10.1007/978-981-33-4604-8_30
Publikováno v:
ICMLA
We discuss approaches for improving bilingual lexicon coverage by automatically suggesting translations for Out-Of-Vocabulary (OOV) terms, employing existing validated bilingual lexicon entries. Resource poor languages such as Hindi, Konkani and Sans
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::9bd371c578c011acf15ef8925f012c0b
https://doi.org/10.1109/icmla51294.2020.00157
https://doi.org/10.1109/icmla51294.2020.00157
