Update README.md

README.md

@@ -16,4 +16,39 @@ metrics:
 
 ---
 # AsPOS: Pre-trained model for Assamese POS tagging
-AsPOS is a pre-trained POS tagging model focusing on Assamese language. Stacked embedding (MuRIL + FlairEmbedding) and BiLSTM-CRF model are used train the model. It achieves an F1-score of 74.62% in POS tagging with 41 POS tagset. 
+AsPOS is a pre-trained POS tagging model focusing on Assamese language. Stacked embedding (MuRIL + FlairEmbedding) and BiLSTM-CRF model are used to train the model. It achieves an F1-score of 74.62% in POS tagging with 41 POS tagset. 
+
+
+## Annotated Assamese POS tagged dataset 
+
+The dataset has been annotated by an automatic POS tagger, of which the accuracy is 74.62%. After that, it is manually corrected. The dataset is split into three parts for model training, those are train.txt, dev.txt, and test.txt.
+
+## How to run
+
+Download the pre-trained model from the link- [AsPOS](https://drive.google.com/file/d/1LAi6cZMyRFWoB6uYIWp3CPtTTnfnOCfx/view?usp=sharing)
+
+```
+from flair.models import SequenceTagger
+from flair.data import  Sentence, Token
+
+# Load the tagger
+
+model = SequenceTagger.load('AsPOS.pt')
+
+#  create example sentence
+sen='ফুকন বসুমতাৰী এজন অধ্য়াপক । তেওঁ বৰ্তমান কোকৰাঝাৰত থাকে ।'
+sentence = Sentence(sen)
+# predict tags and print
+model.predict(sentence)
+print(sentence.to_tagged_string())
+ফুকন <N_NNP> বসুমতাৰী <N_NN> এজন <QT_QTF> অধ্য়াপক <N_NN> । <RD_PUNC> তেওঁ <PR_PRP> বৰ্তমান <RB> 
+কোকৰাঝাৰত <N_NNP> থাকে <V_VM> । <RD_PUNC>
+
+#  create example sentence
+sen='মাতৃভাষাৰ সমান্তৰালকৈ সংস্কৃত, ইংৰাজী ভাষাৰ চৰ্চা অত্যন্ত জৰুৰী ৷'
+sentence = Sentence(sen)
+# predict tags and print
+model.predict(sentence)
+print(sentence.to_tagged_string()
+মাতৃভাষাৰ <N_NN> সমান্তৰালকৈ <N_NN> সংস্কৃত <N_NNP> , <RD_PUNC> ইংৰাজী <N_NNP> ভাষাৰ <N_ANN> চৰ্চা <N_NN> অত্যন্ত <RP_INTF> 
+জৰুৰী <N_NN> ৷ <RD_PUNC>