Update README.md

README.md

@@ -26,7 +26,7 @@ should probably proofread and complete it, then remove this comment. -->
 This model is a fine-tuned version of [google/mt5-small](https://huggingface.co/google/mt5-small) trained for Japanese summarization.
 
 This model is trained on BBC news articles ([XL-Sum Japanese dataset](https://huggingface.co/datasets/csebuetnlp/xlsum/viewer/japanese)), in which the first sentence (headline sentence) is used for summary and others are used for article.<br>
-So, **please fill news story (including, such as, event, background, result, and comment) as source text in the inferece widget**. (Other corpra - such as, business document, academic paper, or short tale - are not seen in training set.)
+So, **please fill news story (including, such as, event, background, result, and comment) as source text in the inferece widget**. (Other corpra - such as, conversation, business document, academic paper, or short tale - are not seen in training set.)
 
 It achieves the following results on the evaluation set:
 - Loss: 1.8952