Update README.md

README.md

@@ -61,7 +61,7 @@ As an estimate on 200K random samples, most training samples are from Gulf regio
 - Text Correction: Some of the input text might have typos, GPT model beside converting the Dialects text into MSA, it also fixed these typos, making it possible to use the Model as Text Correction.
 - Punctiating: Input text in normalized with no punctuations, also GPT model were to add needed puctuactions while conversions, making the Model capable of adding missing or incorrect punctiations.
 - Diacretization: Similar for Punctuating, input text has no diacretizations, we noticed that GPT output text include some of the mostly required diacretization that might affect the meaning of the sentence, this Model behavior can be adjusted through Prompt Engineering, also half way through generating the data the GPT model was prompted to include diacretizations while converting the text into MSA, although not all of the produce texts even after adjusting the prompt contains these diacs, it might be possible to use the Model to add some of the most important diacretization to the input sentence.
-- en-ar Machine Translation: even the Model was not Fine-Tuned on any English text, the Model still able to perform good English to Arabic translation due to its Pretraining on English texts.
+- En-Ar Machine Translation: even the Model was not Fine-Tuned on any English text, the Model still able to perform good English to Arabic translation due to its Pretraining on English texts.
 
 
 # Training