l3cube-pune
commited on
Commit
•
9aa4f5e
1
Parent(s):
9b164b1
Update README.md
Browse files
README.md
CHANGED
@@ -19,14 +19,15 @@ HingGPT-Devanagari is a Hindi-English code-mixed GPT model trained on Devanagari
|
|
19 |
More details on the dataset, models, and baseline results can be found in our [paper] (https://arxiv.org/abs/2204.08398)
|
20 |
|
21 |
```
|
22 |
-
@
|
23 |
-
|
24 |
-
|
25 |
-
|
26 |
-
|
27 |
-
|
28 |
-
|
29 |
-
|
30 |
-
|
|
|
31 |
}
|
32 |
```
|
|
|
19 |
More details on the dataset, models, and baseline results can be found in our [paper] (https://arxiv.org/abs/2204.08398)
|
20 |
|
21 |
```
|
22 |
+
@inproceedings{nayak-joshi-2022-l3cube,
|
23 |
+
title = "{L}3{C}ube-{H}ing{C}orpus and {H}ing{BERT}: A Code Mixed {H}indi-{E}nglish Dataset and {BERT} Language Models",
|
24 |
+
author = "Nayak, Ravindra and Joshi, Raviraj",
|
25 |
+
booktitle = "Proceedings of the WILDRE-6 Workshop within the 13th Language Resources and Evaluation Conference",
|
26 |
+
month = jun,
|
27 |
+
year = "2022",
|
28 |
+
address = "Marseille, France",
|
29 |
+
publisher = "European Language Resources Association",
|
30 |
+
url = "https://aclanthology.org/2022.wildre-1.2",
|
31 |
+
pages = "7--12",
|
32 |
}
|
33 |
```
|