Update README.md

README.md

@@ -25,7 +25,7 @@ Upon visual inspection of the original collection, someone acquainted with the S
 
 The purpose of this data package is to identify the good translations that are "Good Sicilian," so that the NLP community can train better language models for the Sicilian language.  For that purpose, Project Napizia used one of its translation models to score the pairs on the task of English-to-Sicilian translation and sorted the pairs by score.
 
-Like golf, a low score is a better score.  Napizia's scores come from Sockeye's scorer, which presents the negative log probability that the target subword sequence is a translation of the source subword sequence.  So a score close to zero implies a probability close to one.  A low score is a better score.
+Like golf, a low score is a better score.  Napizia's scores come from [Sockeye](https://awslabs.github.io/sockeye/)'s scorer, which presents the negative log probability that the target subword sequence is a translation of the source subword sequence.  So a score close to zero implies a probability close to one.  A low score is a better score.
 
 Napizia plays golf.  Facebook plays basketball.  Facebook's score measures similarity between sentences.  At Facebook, a high score is a better score.  We present both Facebook's score and Napizia's score.  And we apologize in advance for the inevitable confusion.