Update README.md

README.md

@@ -95,6 +95,7 @@ The following fields are contained in the training set:
 |`tot_shifted_words` | Total amount of shifted words from all shifts present in the sentence. |
 |`tot_edits` | Total of all edit types for the sentence. |
 |`hter` | Human-mediated Translation Edit Rate score computed between the MT and post-edited outputs using the [tercom](https://github.com/jhclark/tercom) library. |
+|`cer` | Character-level HTER score computed between the MT and post-edited outputs using the [CharacTER](https://github.com/rwth-i6/CharacTER) library.
 |`bleu`   | Sentence-level BLEU score between MT and post-edited fields (empty for modality `ht`) computed using the [SacreBLEU](https://github.com/mjpost/sacrebleu) library with default parameters. |
 |`chrf`   | Sentence-level chrF score between MT and post-edited fields (empty for modality `ht`) computed using the [SacreBLEU](https://github.com/mjpost/sacrebleu) library with default parameters. |
 |`lang_id` | Language identifier for the sentence |
@@ -162,6 +163,7 @@ The following is an example of the subject `t1` post-editing a machine translati
 	'tot_shifted_words': 0.0,
 	'tot_edits': 3.0,
 	'hter': 20.0,
+	'cer': 0.10,
 	'bleu': 0.0,
 	'chrf': 2.569999933242798,
 	'lang_id': 'tur',