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Machine translation for low-resource and morphologically rich language : focusing on the hindi-kangri pair / Vijay Kumar.

By: Kumar, Vijay

Material type: Text

TextPublisher: Hamirpur : National Institute of Technology, 2024Description: ix, 63pDDC classification: 004 Dissertation note: Master of Technology, Department of Computer Science and Engineering, National Institute of Technology Hamirpur, Himachal Pradesh, India - 177005. 2024 Guide / Supervisor: Yadav, Arun KumarPandit, Mohammad Khalid

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Item type	Current location	Call number	Status	Date due	Barcode
Thesis or Dissertation	Central Library	004 KUM (Browse shelf)	Available		TH-2157

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Previous	004 KUM Evaluation of various duty cycle adaption strategies for padc-mac /	004 KUM Bert-based meta-stack ensemble learning centiment analysis prediction /	004 KUM Patients unscheduled readmission prediction using electronic /	004 KUM Machine translation for low-resource and morphologically rich language : focusing on the hindi-kangri pair /	004 KUM Pitch detection using comprehensive pitch detection model /	004 KUM Contextual emotion detection /	004 KUM Carblock: carbon emission detection model and blockchain-based carbon credit trading /	Next

Master of Technology, Department of Computer Science and Engineering, National Institute of Technology Hamirpur, Himachal Pradesh, India - 177005. 2024

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Machine translation for low-resource and morphologically rich language : focusing on the hindi-kangri pair / Vijay Kumar.

By: Kumar, Vijay

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