Download PDFOpen PDF in browser

Neural Machine Translation for English to Hindi Using GRU

EasyChair Preprint no. 5698

4 pagesDate: June 4, 2021


Language translation helps people to communicate, share information and establish a worldwide relationship. Neural Machine Translation helps to build the performances since it translates text from one language into another. This paper gen- erates a summary with a headline and also compares three Neural Machine Translation models based on different Techniques for English-Hindi language pairwise: Sequence Architecture with both encoder and decoder (1) Long Short Term Memory (2) Bidirectional Long Short Term Memory (Bi-LSTM) Conditional Random Field (CRF) and (3) Gated recurrent units (GRUs) with attention mechanism applied in three models. The comparison showed that GRU is better in performances than LSTM and Bi-LSTM CRF.

Keyphrases: Natural language Processing: GRU, Neural Machine Translation, Text Summarization

BibTeX entry
BibTeX does not have the right entry for preprints. This is a hack for producing the correct reference:
  author = {P Shalu and M Meera},
  title = {Neural Machine Translation for English to Hindi Using GRU},
  howpublished = {EasyChair Preprint no. 5698},

  year = {EasyChair, 2021}}
Download PDFOpen PDF in browser