Table 5 Test set results for AGWO-SALSTM across benchmark datasets.

From: Optimizing software engineering English translation using an enhanced Grey Wolf Optimization with self-attention and Bi-LSTM model

Dataset

Accuracy (%)

MAE

MSE

BLEU

PARACRAWL

94.8

0.03

0.04

38.5

WMT

95.3

0.02

0.05

39.6

UM-Corpus

95.5

0.03

0.06

39.9

OPUS

94.7

0.04

0.05

38.7

Average

95.1

0.03

0.05

39.2

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