Update README.md

README.md

@@ -41,9 +41,9 @@ inference:
 
 # t5-v1_1-base-ft-jflAUG
 
-- **GOAL:** build a more robust and generalized grammar and spelling correction model that has minimal impact on the semantics of correct sentences (I.e. it does not change things that do not need to be changed.
+- **GOAL:** build a more robust and generalized grammar and spelling correction model with minimal impact on the semantics of correct sentences (I.e. it does not change things that do not need to be changed.
 - this grammar correction model (at least from preliminary testing) can handle large amounts of errors in the source text (i.e. from audio transcription) and still produce cohesive results. 
-- This model is a fine-tuned version of [google/t5-v1_1-base](https://huggingface.co/google/t5-v1_1-base) on an expanded version of the JFLEG dataset.
+- This model is a fine-tuned version of [google/t5-v1_1-base](https://huggingface.co/google/t5-v1_1-base) on an expanded version of the [JFLEG dataset](https://aclanthology.org/E17-2037/).
 
 ## Model description
 
@@ -52,7 +52,7 @@ More information needed
 ## Intended uses & limitations
 
 - try some tests with the [examples here](https://www.engvid.com/english-resource/50-common-grammar-mistakes-in-english/)
-- thus far, some limitations are: sentence fragments are not autocorrected (at least, if entered individually), some more complicated pronoun/they/he/her etc agreement is not always fixed.
+- thus far, some limitations are: sentence fragments are not autocorrected (at least, if entered individually), some more complicated pronoun/they/he/her etc. agreement is not always fixed.
 
 ## Training and evaluation data