tentative lemma support

ud.py

@@ -25,7 +25,10 @@ class UniversalDependenciesPipeline(TokenClassificationPipeline):
       h=ufal.chu_liu_edmonds.chu_liu_edmonds(m)[0]
     v=[(s,e) for s,e in model_output["offset_mapping"][0].tolist() if s<e]
     q=[self.model.config.id2label[p[i,j]].split("|") for i,j in enumerate(h)]
-    if "aggregation_strategy" in kwargs and kwargs["aggregation_strategy"]!="none":
+    g=False
+    if "aggregation_strategy" in kwargs:
+      g=kwargs["aggregation_strategy"]!="none"
+    if g:
       for i,j in reversed(list(enumerate(q[2:],2))):
         if j[-1]=="goeswith":
           h=[b if i>b else b-1 for a,b in enumerate(h) if i!=a]
@@ -34,5 +37,5 @@ class UniversalDependenciesPipeline(TokenClassificationPipeline):
     t=model_output["sentence"].replace("\n"," ")
     u="# text = "+t+"\n"
     for i,(s,e) in enumerate(v,1):
-      u+="\t".join([str(i),t[s:e],"_",q[i][0],"_","|".join(q[i][1:-1]),str(h[i]),q[i][-1],"_","_" if i<len(v) and e<v[i][0] else "SpaceAfter=No"])+"\n"
+      u+="\t".join([str(i),t[s:e],t[s:e] if g else "_",q[i][0],"_","|".join(q[i][1:-1]),str(h[i]),q[i][-1],"_","_" if i<len(v) and e<v[i][0] else "SpaceAfter=No"])+"\n"
     return u+"\n"