Update README.md

README.md

@@ -25,15 +25,15 @@ This model performs Handwritten Text Recognition in Norwegian. It was developed
 
 ## Model description
 
-The model has been trained using the PyLaia library on the [NorHand v3](https://zenodo.org/records/10255840) document images.
+The model has been trained using the PyLaia library on the [NorHand v3](https://zenodo.org/records/10255840) dataset.
 
 Training images were resized with a fixed height of 128 pixels, keeping the original aspect ratio.
 
-| split | N lines | N horizontal lines |
-| ----- | ------: | -----------------: |
-| train | 224,173 |            223,971 |
-| val   |  22,828 |             22,811 |
-| test  |   1,573 |              1,573 |
+| set   | lines   | horizontal lines |
+|:----- | ------: | ---------------: |
+| train | 224,173 |          223,971 |
+| val   |  22,828 |           22,811 |
+| test  |   1,573 |            1,573 |
 
 An external 6-gram character language model can be used to improve recognition. The language model is trained on the text from the NorHand v3 training set.
 
@@ -48,15 +48,19 @@ The model achieves the following results:
 
 ## How to use?
 
-Please refer to the [documentation](https://atr.pages.teklia.com/pylaia/).
+Please refer to the [PyLaia documentation](https://atr.pages.teklia.com/pylaia/usage/prediction/) to use this model.
 
 ## Cite us!
 
 ```bibtex
-@inproceedings{pylaia-lib,
-    author = "Tarride, Solène and Schneider, Yoann and Generali, Marie and Boillet, Melodie and Abadie, Bastien and Kermorvant, Christopher",
-    title = "Improving Automatic Text Recognition with Language Models in the PyLaia Open-Source Library",
-    booktitle = "Submitted at ICDAR2024",
-    year = "2024"
+@inproceedings{pylaia2024,
+    author = {Tarride, Solène and Schneider, Yoann and Generali-Lince, Marie and Boillet, Mélodie and Abadie, Bastien and Kermorvant, Christopher},
+    title = {{Improving Automatic Text Recognition with Language Models in the PyLaia Open-Source Library}},
+    booktitle = {Document Analysis and Recognition - ICDAR 2024},
+    year = {2024},
+    publisher = {Springer Nature Switzerland},
+    address = {Cham},
+    pages = {387--404},
+    isbn = {978-3-031-70549-6}
 }
 ```