Translation of English Language into Urdu Language Using LSTM Model

English to Urdu machine translation is still in its beginning and lacks simple methods provide motivating adequate translation. In order make knowledge available the masses, there should be mechanisms tools place things understandable by translating from source language target an automated fashion. Machine has achieved this goal with encouraging results. When decoding text into language, translator checks all characteristics of text. To achieve translation, rule-based, computational, hybrid neural approaches have been proposed automate work. research work, a approach employed translate Urdu. Long Short Term Model (LSTM) Encoder Decoder used The various steps required perform tasks include preprocessing, tokenization, grammar sentence structure analysis, word embeddings, training data preparation, encoder-decoder models, output generation. results show that model work shows better performance were evaluated using bilingual metrics showed test yielded highest score sequences effective length ten (10).