Matches in SemOpenAlex for { <https://semopenalex.org/work/W4380189401> ?p ?o ?g. }
Showing items 1 to 94 of
94
with 100 items per page.
- W4380189401 endingPage "495" @default.
- W4380189401 startingPage "483" @default.
- W4380189401 abstract "Machine Translation (MT) has emerged as an important research area in the computational intelligence domain to translate huge online resources cost-effectively. Among different MT approaches, Neural based Machine Translation (NMT) is in widespread use nowadays. In NMT, Bidirectional Long-Short Term Memory (BiLSTM) is popular due to its higher accuracy and improved performance. This study investigates different performance improvements with standard BiLSTM for Bangla-English MT (BEMT). Attention (ATT) mechanism, Byte Pair Encoding (BPE) and Back Translation (BT) are integrated independently and combinedly through a systematic approach. Four different models such as BiLSTM+ATT, BiLSTM+ATT+BPE, BiLSTM+ATT+BT and BiLSTM+ATT+BPE+BT have been tested rigorously on a benchmark corpus. The effectiveness of ATT, BPE and BT on a BiLSTM model are identified by comparing the performance of the individual models. Finally, the integrated model of BPE and BT with BiLSTM showed the best generalization ability and outperformed other models." @default.
- W4380189401 created "2023-06-11" @default.
- W4380189401 creator A5012890130 @default.
- W4380189401 creator A5043721074 @default.
- W4380189401 creator A5092134540 @default.
- W4380189401 creator A5092134541 @default.
- W4380189401 date "2023-01-01" @default.
- W4380189401 modified "2023-10-18" @default.
- W4380189401 title "Bidirectional Long-Short Term Memory with Byte Pair Encoding and Back Translation for Bangla-English Machine Translation" @default.
- W4380189401 cites W1553828747 @default.
- W4380189401 cites W1902237438 @default.
- W4380189401 cites W2064675550 @default.
- W4380189401 cites W2101105183 @default.
- W4380189401 cites W2131774270 @default.
- W4380189401 cites W2591259438 @default.
- W4380189401 cites W2902510077 @default.
- W4380189401 cites W2962784628 @default.
- W4380189401 cites W2963212250 @default.
- W4380189401 cites W2969436223 @default.
- W4380189401 cites W2983691795 @default.
- W4380189401 cites W3011207117 @default.
- W4380189401 cites W3023559046 @default.
- W4380189401 cites W3089472875 @default.
- W4380189401 cites W3170852415 @default.
- W4380189401 cites W3202819097 @default.
- W4380189401 cites W4212975638 @default.
- W4380189401 cites W4289670464 @default.
- W4380189401 doi "https://doi.org/10.1007/978-3-031-34619-4_38" @default.
- W4380189401 hasPublicationYear "2023" @default.
- W4380189401 type Work @default.
- W4380189401 citedByCount "0" @default.
- W4380189401 crossrefType "book-chapter" @default.
- W4380189401 hasAuthorship W4380189401A5012890130 @default.
- W4380189401 hasAuthorship W4380189401A5043721074 @default.
- W4380189401 hasAuthorship W4380189401A5092134540 @default.
- W4380189401 hasAuthorship W4380189401A5092134541 @default.
- W4380189401 hasConcept C104317684 @default.
- W4380189401 hasConcept C105580179 @default.
- W4380189401 hasConcept C119857082 @default.
- W4380189401 hasConcept C125411270 @default.
- W4380189401 hasConcept C134306372 @default.
- W4380189401 hasConcept C149364088 @default.
- W4380189401 hasConcept C154945302 @default.
- W4380189401 hasConcept C177148314 @default.
- W4380189401 hasConcept C185592680 @default.
- W4380189401 hasConcept C185798385 @default.
- W4380189401 hasConcept C19235068 @default.
- W4380189401 hasConcept C199360897 @default.
- W4380189401 hasConcept C203005215 @default.
- W4380189401 hasConcept C204321447 @default.
- W4380189401 hasConcept C205649164 @default.
- W4380189401 hasConcept C33923547 @default.
- W4380189401 hasConcept C41008148 @default.
- W4380189401 hasConcept C43364308 @default.
- W4380189401 hasConcept C55493867 @default.
- W4380189401 hasConcept C58640448 @default.
- W4380189401 hasConceptScore W4380189401C104317684 @default.
- W4380189401 hasConceptScore W4380189401C105580179 @default.
- W4380189401 hasConceptScore W4380189401C119857082 @default.
- W4380189401 hasConceptScore W4380189401C125411270 @default.
- W4380189401 hasConceptScore W4380189401C134306372 @default.
- W4380189401 hasConceptScore W4380189401C149364088 @default.
- W4380189401 hasConceptScore W4380189401C154945302 @default.
- W4380189401 hasConceptScore W4380189401C177148314 @default.
- W4380189401 hasConceptScore W4380189401C185592680 @default.
- W4380189401 hasConceptScore W4380189401C185798385 @default.
- W4380189401 hasConceptScore W4380189401C19235068 @default.
- W4380189401 hasConceptScore W4380189401C199360897 @default.
- W4380189401 hasConceptScore W4380189401C203005215 @default.
- W4380189401 hasConceptScore W4380189401C204321447 @default.
- W4380189401 hasConceptScore W4380189401C205649164 @default.
- W4380189401 hasConceptScore W4380189401C33923547 @default.
- W4380189401 hasConceptScore W4380189401C41008148 @default.
- W4380189401 hasConceptScore W4380189401C43364308 @default.
- W4380189401 hasConceptScore W4380189401C55493867 @default.
- W4380189401 hasConceptScore W4380189401C58640448 @default.
- W4380189401 hasLocation W43801894011 @default.
- W4380189401 hasOpenAccess W4380189401 @default.
- W4380189401 hasPrimaryLocation W43801894011 @default.
- W4380189401 hasRelatedWork W147166030 @default.
- W4380189401 hasRelatedWork W1593502373 @default.
- W4380189401 hasRelatedWork W2734853385 @default.
- W4380189401 hasRelatedWork W2790548959 @default.
- W4380189401 hasRelatedWork W3022937510 @default.
- W4380189401 hasRelatedWork W3105168542 @default.
- W4380189401 hasRelatedWork W3107474891 @default.
- W4380189401 hasRelatedWork W3192589309 @default.
- W4380189401 hasRelatedWork W3204019825 @default.
- W4380189401 hasRelatedWork W4312833533 @default.
- W4380189401 isParatext "false" @default.
- W4380189401 isRetracted "false" @default.
- W4380189401 workType "book-chapter" @default.