Update README.md

README.md

@@ -58,3 +58,8 @@ The following parameters were used for the translation:
 inputs = tokenizer(text, return_tensors="pt", padding=True, truncation=True, max_length=1024).to(device)
 outputs = model.generate(**inputs, tgt_lang=dest_lang)
 translation = tokenizer.batch_decode(outputs, skip_special_tokens=True)
+
+2. Human Verification and Annotation:
+
+After the initial machine translation, the translations were passed through GPT-3.5 for verification. This step involved checking the quality of the translations and identifying any that were not up to standard.
+The translations flagged by GPT-3.5 as problematic were reviewed and annotated by human translators to ensure accuracy and naturalness in Swahili.