Update eval_cer.py

eval_cer.py

@@ -55,11 +55,11 @@ _CITATION = """\
 """
 
 _DESCRIPTION = """\
-Character error rate (CER) is a common metric of the performance of an automatic speech recognition system.
+Character error rate (CER) is a standard metric of the performance of an automatic speech recognition system.
 
-CER is similar to Word Error Rate (WER), but operates on character instead of word. Please refer to docs of WER for further information.
+CER is similar to Word Error Rate (WER) but operates on characters instead of words. Please refer to the docs of WER for further information.
 
-Character error rate can be computed as:
+The character error rate can be computed as:
 
 CER = (S + D + I) / N = (S + D + I) / (S + D + C)
 
@@ -71,7 +71,7 @@ I is the number of insertions,
 C is the number of correct characters,
 N is the number of characters in the reference (N=S+D+C).
 
-CER's output is not always a number between 0 and 1, in particular when there is a high number of insertions. This value is often associated to the percentage of characters that were incorrectly predicted. The lower the value, the better the
+CER's output is not always a number between 0 and 1, particularly when there is a high number of insertions. This value is often associated to the percentage of characters that were incorrectly predicted. The lower the value, the better the
 performance of the ASR system with a CER of 0 being a perfect score.
 """
 
@@ -79,12 +79,12 @@ _KWARGS_DESCRIPTION = """
 Computes CER score of transcribed segments against references.
 Args:
     references: list of references for each speech input.
-    predictions: list of transcribtions to score.
-    concatenate_texts: Whether or not to concatenate sentences before evaluation, set to True for more accurate result.
+    predictions: list of transcriptions to score.
+    concatenate_texts: Whether or not to concatenate sentences before evaluation, set to True for a more accurate result.
 Returns:
     (float): the character error rate
 
-Examples for Hungarain Languge:
+Examples for the Hungarian Language:
     >>> # Colab usage 
     >>> !pip install evaluate jiwer
     >>> import evaluate