Update README.md

README.md

@@ -146,7 +146,13 @@ As a result of using existing datasets as the basis for many of the examples, er
 The results and analyses presented in the paper exclude those metrics submitted to the WMT 2022 metrics shared task that provides only system-level outputs. We focus on metrics that provide segment-level outputs as this enables us to provide a broad overview of metric performance on different phenomenon categories and to conduct fine-grained analyses of performance on individual phenomena. For some of the fine-grained analyses, we apply additional constraints based on the language pairs covered by the metrics, or whether the metrics take the source as input, to address specific questions of interest. As a result of applying some of these additional constraints, our investigations tend to focus more on high and medium-resource languages than on low-resource languages. We hope to address this shortcoming in future work.
 
 
-## Additional Information
+## Additional Information 
+
+### Acknowledgements
+
+This work was funded by the European Union’s Horizon
+Europe (HE) Research and Innovation programme under Grant Agreement No 101070631 and from the UK
+Research and Innovation (UKRI) under the UK government’s HE funding grant No 10039436.
 
 
 ### Licensing Information