update README

README.md

@@ -43,9 +43,9 @@ Downloading builder script: 100%|███████████████
 ### Inputs
 *List all input arguments in the format below*
 - **predictions** *(list of strings): list of sentences to test diversity. Each prediction should be a string.*
-- **mode** *(string): 'Expectation-Adjusted-Distinct' or 'Distinct' for diversity calculationg. If the value is 'Expectation-Adjusted-Distinct', the scores of the both modes will be returned. Default value is 'Expectation-Adjusted-Distinct'*
-- **vocab_size** *(int): vocab_size for calculating 'Expectation-Adjusted-Distinct'. When calculating 'Expectation-Adjusted-Distinct', either vocab_size or  dataForVocabCal should not be None. Default value is None*
-- **dataForVocabCal** *(list of string): dataForVocabCal for calculating the vocab_size for 'Expectation-Adjusted-Distinct'. Typically, it should be a list of sentences consisting the task dataset. When calculating 'Expectation-Adjusted-Distinct', either vocab_size or  dataForVocabCal should not be None. Default value is None*
+- **mode** *(string): 'Expectation-Adjusted-Distinct' or 'Distinct' for diversity calculation. If 'Expectation-Adjusted-Distinct', the scores for both modes will be returned. The default value is 'Expectation-Adjusted-Distinct'*
+- **vocab_size** *(int): For calculating 'Expectation-Adjusted-Distinct', either vocab_size or  dataForVocabCal should not be None. Default value is None*
+- **dataForVocabCal** *(list of string): dataForVocabCal for calculating the vocab_size for 'Expectation-Adjusted-Distinct'. Typically, it should be a list of sentences consisting the task dataset. For calculating 'Expectation-Adjusted-Distinct', either vocab_size or dataForVocabCal should not be None. Default value is None*
 - **tokenizer** *(string or tokenizer class): tokenizer for splitting sentences into words. Default value is "white_space". NLTK tokenizer is available.*
 
 ### Output Values