Update Space (evaluate main: e179b5b8)

README.md

@@ -1,6 +1,6 @@
 ---
 title: BLEU
-emoji: 🤗
+emoji: 🤗 
 colorFrom: blue
 colorTo: red
 sdk: gradio
@@ -8,44 +8,10 @@ sdk_version: 3.0.2
 app_file: app.py
 pinned: false
 tags:
-  - evaluate
-  - metric
-description: >-
-  BLEU (bilingual evaluation understudy) is an algorithm for evaluating the
-  quality of text which has been machine-translated from one natural language to
-  another.
-
-  Quality is considered to be the correspondence between a machine's output and
-  that of a human: "the closer a machine translation is to a professional human
-  translation,
-
-  the better it is" – this is the central idea behind BLEU. BLEU was one of the
-  first metrics to claim a high correlation with human judgements of quality,
-  and
-
-  remains one of the most popular automated and inexpensive metrics.
-
-
-  Scores are calculated for individual translated segments—generally
-  sentences—by comparing them with a set of good quality reference translations.
-
-  Those scores are then averaged over the whole corpus to reach an estimate of
-  the translation's overall quality. Intelligibility or grammatical correctness
-
-  are not taken into account[citation needed].
-
-
-  BLEU's output is always a number between 0 and 1. This value indicates how
-  similar the candidate text is to the reference texts, with values closer to 1
-
-  representing more similar texts. Few human translations will attain a score of
-  1, since this would indicate that the candidate is identical to one of the
-
-  reference translations. For this reason, it is not necessary to attain a score
-  of 1. Because there are more opportunities to match, adding additional
-
-  reference translations will increase the BLEU score.
+- evaluate
+- metric
 ---
+
 # Metric Card for BLEU