Matches in SemOpenAlex for { <https://semopenalex.org/work/W2783208433> ?p ?o ?g. }
Showing items 1 to 78 of
78
with 100 items per page.
- W2783208433 abstract "In a multilingual diversity country like India, language translation plays a significant factor in the area of text processing application such as information extraction, machine learning, natural language understanding, information retrieval and machine translation. Thereexists many challenges and issues in translation between languages, especially the Dravidian language, such as ambiguities, lexical divergence, syntactic, lexical mismatches and semantic issues, etc. The n — gram language model (LM) performs very well machine translation. However the existing approach is not efficient for generating n — gram from large bi-lingual parallel corpora. Most existing approaches are limited to monolingual to minimize redundant n — gram. To overcome this, this work presents an efficient machine translation model using machine learning techniques. No prior work has considered machine translation of Kannada and Telugu. The experimentis conducted on Wikipedia dataset show significant performance in term of accuracy and computation complexity of alignment considering different threshold." @default.
- W2783208433 created "2018-01-26" @default.
- W2783208433 creator A5004377505 @default.
- W2783208433 creator A5006705078 @default.
- W2783208433 creator A5030889169 @default.
- W2783208433 creator A5054532958 @default.
- W2783208433 date "2017-05-01" @default.
- W2783208433 modified "2023-10-14" @default.
- W2783208433 title "An efficient machine translation model for Dravidian language" @default.
- W2783208433 cites W1249771036 @default.
- W2783208433 cites W2156985047 @default.
- W2783208433 cites W2251569308 @default.
- W2783208433 cites W2584080049 @default.
- W2783208433 doi "https://doi.org/10.1109/rteict.2017.8256970" @default.
- W2783208433 hasPublicationYear "2017" @default.
- W2783208433 type Work @default.
- W2783208433 sameAs 2783208433 @default.
- W2783208433 citedByCount "14" @default.
- W2783208433 countsByYear W27832084332020 @default.
- W2783208433 countsByYear W27832084332021 @default.
- W2783208433 countsByYear W27832084332022 @default.
- W2783208433 countsByYear W27832084332023 @default.
- W2783208433 crossrefType "proceedings-article" @default.
- W2783208433 hasAuthorship W2783208433A5004377505 @default.
- W2783208433 hasAuthorship W2783208433A5006705078 @default.
- W2783208433 hasAuthorship W2783208433A5030889169 @default.
- W2783208433 hasAuthorship W2783208433A5054532958 @default.
- W2783208433 hasConcept C104317684 @default.
- W2783208433 hasConcept C105580179 @default.
- W2783208433 hasConcept C110046852 @default.
- W2783208433 hasConcept C117884012 @default.
- W2783208433 hasConcept C130597682 @default.
- W2783208433 hasConcept C137293760 @default.
- W2783208433 hasConcept C149364088 @default.
- W2783208433 hasConcept C154945302 @default.
- W2783208433 hasConcept C185592680 @default.
- W2783208433 hasConcept C203005215 @default.
- W2783208433 hasConcept C204321447 @default.
- W2783208433 hasConcept C24687705 @default.
- W2783208433 hasConcept C2778756302 @default.
- W2783208433 hasConcept C41008148 @default.
- W2783208433 hasConcept C51802942 @default.
- W2783208433 hasConcept C53893814 @default.
- W2783208433 hasConcept C55493867 @default.
- W2783208433 hasConceptScore W2783208433C104317684 @default.
- W2783208433 hasConceptScore W2783208433C105580179 @default.
- W2783208433 hasConceptScore W2783208433C110046852 @default.
- W2783208433 hasConceptScore W2783208433C117884012 @default.
- W2783208433 hasConceptScore W2783208433C130597682 @default.
- W2783208433 hasConceptScore W2783208433C137293760 @default.
- W2783208433 hasConceptScore W2783208433C149364088 @default.
- W2783208433 hasConceptScore W2783208433C154945302 @default.
- W2783208433 hasConceptScore W2783208433C185592680 @default.
- W2783208433 hasConceptScore W2783208433C203005215 @default.
- W2783208433 hasConceptScore W2783208433C204321447 @default.
- W2783208433 hasConceptScore W2783208433C24687705 @default.
- W2783208433 hasConceptScore W2783208433C2778756302 @default.
- W2783208433 hasConceptScore W2783208433C41008148 @default.
- W2783208433 hasConceptScore W2783208433C51802942 @default.
- W2783208433 hasConceptScore W2783208433C53893814 @default.
- W2783208433 hasConceptScore W2783208433C55493867 @default.
- W2783208433 hasLocation W27832084331 @default.
- W2783208433 hasOpenAccess W2783208433 @default.
- W2783208433 hasPrimaryLocation W27832084331 @default.
- W2783208433 hasRelatedWork W1539505509 @default.
- W2783208433 hasRelatedWork W193726211 @default.
- W2783208433 hasRelatedWork W1974878518 @default.
- W2783208433 hasRelatedWork W2134352815 @default.
- W2783208433 hasRelatedWork W2186192552 @default.
- W2783208433 hasRelatedWork W2289817541 @default.
- W2783208433 hasRelatedWork W2294868251 @default.
- W2783208433 hasRelatedWork W2935626723 @default.
- W2783208433 hasRelatedWork W3158313920 @default.
- W2783208433 hasRelatedWork W626175318 @default.
- W2783208433 isParatext "false" @default.
- W2783208433 isRetracted "false" @default.
- W2783208433 magId "2783208433" @default.
- W2783208433 workType "article" @default.