Update README.md

README.md

@@ -17,6 +17,11 @@ The model corrects spelling errors and typos by bringing all the words in the te
 Corrector was trained based on the model [M2M100-1.2B](https://huggingface.co/facebook/m2m100_1.2B). 
 An extensive dataset with “artificial” errors was taken as a training corpus: the corpus was assembled on the basis of the Russian-language Wikipedia and transcripts of Russian-language videos, then typos and spelling errors were automatically introduced into it using the library [SAGE](https://github.com/orgs/ai-forever/sage).
 
+### Articles and speeches
+- [Speech about the SAGE library](https://youtu.be/yFfkV0Qjuu0), DataFest 2023
+- [Article about synthetic error generation methods](https://www.dialog-21.ru/media/5914/martynovnplusetal056.pdf), Dialogue 2023
+- [Article about SAGE and our best solution](https://arxiv.org/abs/2308.09435), Review EACL 2024
+
 ### Examples
 | Input | Output |
 | --- | --- |
@@ -105,7 +110,7 @@ print(answer)
 - [FredT5-large-spell](https://huggingface.co/ai-forever/FRED-T5-large-spell), HuggingFace
 - [T5-large-spell](https://huggingface.co/ai-forever/T5-large-spell), HuggingFace
 
-## Licensing
+## License
 Model [M2M100-1.2B](https://huggingface.co/facebook/m2m100_1.2B), on the basis of which our solution is made, and its source code are supplied under the MIT open license. 
 Our solution also comes with an MIT license.