From 93bdac797ed3cf04a427e276823f9896dcf19a2d Mon Sep 17 00:00:00 2001
From: Patrick Simianer <p@simianer.de>
Date: Tue, 25 Jul 2017 02:17:07 +0200
Subject: lfpe 2017 (neural edition)

---
 views/summary.haml | 97 ++++++++++++++++++++++++++++--------------------------
 1 file changed, 51 insertions(+), 46 deletions(-)

(limited to 'views')

diff --git a/views/summary.haml b/views/summary.haml
index 671f1b5..7339367 100644
--- a/views/summary.haml
+++ b/views/summary.haml
@@ -11,51 +11,56 @@
     %h1 Summary
     %p.small (Session #{session_key})
     %p Data is shown in the MT system's formatting. BLEU is calculated without smoothing. TER capped at 1.0.
-    %table
-      %tr
-        %td
-          #{"#"}
-        %td
-          %strong Source
-        %td
-          %strong
-            Post-Edit
-        %td
-          %strong
-            Reference
-        %td
-          %strong
-            BLEU
-        %td
-          %strong
-            TER
-        %td
-          %strong
-            MT
-        %td
-          %strong
-            HTER
-        %td
-          %strong
-            Key.
-        %td
-          %strong
-            M.a.
-        %td
-          %strong
-            Dur.
-        - data["post_edits"].each_with_index do |pe,j|
-          %tr
-            %td.center #{j+1}.
-            %td #{data["source_segments"][j]}
-            %td #{pe}
-            %td #{data["references"][j]}
-            %td.center #{(BLEU::per_sentence_bleu(pe, [data["references"][j]], 4, 0)*100).round 2}%
-            %td.center #{ter_scores[j]}
-            %td #{data["mt_raw"][j]}
-            %td.center #{hter_scores[j]}
-            %td.center #{data["count_kbd"][j]}
-            %td.center #{data["count_click"][j]}
-            %td.center #{((data["durations"][j]/1000.0)/60.0).round 1} min
+    -if data["source_segments"].size == data["mt_raw"].size
+      %table
+        %tr
+          %td
+            #{"#"}
+          %td
+            %strong Source
+          %td
+            %strong
+              Post-Edit
+          %td
+            %strong
+              Reference
+          %td
+            %strong
+              BLEU
+          %td
+            %strong
+              TER
+          %td
+            %strong
+              MT
+          %td
+            %strong
+              HTER
+          %td
+            %strong
+              Rating
+          %td
+            %strong
+              Key.
+          %td
+            %strong
+              M.a.
+          %td
+            %strong
+              Dur.
+          - data["post_edits"].each_with_index do |pe,j|
+            %tr
+              %td.center #{j+1}.
+              %td #{data["source_segments"][j].gsub(/((@@ )|(@@$))/, "")}
+              %td #{pe.gsub("@@ ", "")}
+              %td #{data["references"][j]}
+              %td.center #{bleu_scores[j]}
+              %td.center #{ter_scores[j]}
+              %td #{data["mt_raw"][j].gsub(/((@@ )|(@@$))/, "")}
+              %td.center #{hter_scores[j]}
+              %td.center #{data["ratings"][j]}
+              %td.center #{data["count_kbd"][j]}
+              %td.center #{data["count_click"][j]}
+              %td.center #{((data["durations"][j]/1000.0)/60.0).round 1} min [#{((data["durations_rating"][j]/1000.0)/60.0).round 1} min]
 
 
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