Update README.md

README.md

@@ -23,9 +23,11 @@ Waking up the next morning, we all have a headache, so in lieu of aspirin, [Proj
 
 ## The NLLB team's search for "Good Sicilian"
 
-"Good Sicilian" is what Facebook sought to collect during the [No Language Left Behind project (2022)](https://arxiv.org/abs/2207.04672).  Project Napizia wishes the NLLB team had contacted Arba Sicula.  Instead, the NLLB team consulted people without any experience translating the Sicilian language.  As the NLLB team explains on page 23 of their paper, Sicilian was one of "the more difficult languages" that they worked with.  The bartender served them seed data and validation data with "lower levels of industry-wide standardization."
+"Good Sicilian" is what Facebook sought to collect during the [No Language Left Behind project (2022)](https://arxiv.org/abs/2207.04672).  Project Napizia wishes that the NLLB team had contacted Arba Sicula.  Instead, the NLLB team consulted people without any experience translating the Sicilian language.  As the NLLB team explains on page 23 of their paper, Sicilian was one of "the more difficult languages" that they worked with.  The bartender served them seed data and validation data with "lower levels of industry-wide standardization."
 
-In particular, the seed data reflected a radical new orthographic proposal that first appeared in 2017, while the lion's share of Sicilian text was written prior to 2017.  The dissimilarity between seed data and available data caused the NLLB project to collect poor-quality Sicilian language data. And because the validation data also reflects the radical new orthographic proposal, it's not very helpful when evaluating a model trained on the NLLB data (or any Sicilian language data).
+In particular, the seed data reflected a radical new orthographic proposal that first appeared in 2017, while the lion's share of Sicilian text was written prior to 2017.  The dissimilarity between seed data and available data caused the NLLB project to collect poor-quality Sicilian language data. 
+
+And because the validation data also reflects the radical new orthographic proposal, the dissimilarity of the validation data is not very helpful when evaluating a model trained on the NLLB data (or any Sicilian language data).
 
 ## The "Good Sicilian" in the NLLB dataset