Try to add the first natural language processor - 'translate'

nl_processors/translate.py

@@ -0,0 +1,31 @@
+import re
+
+from nl_processor import as_processor
+
+_query_lang_matcher = [
+    re.compile('[把将]?[ ,.，。]?(.*?)[ ,.，。]?(?:这[个]?(?:词[组]?|句(?:子|话)?|短语))翻译[成为到](\w+?[文语])(?![ :：,，.。])'),
+    re.compile('(\w+?)[ ,.，。]?(?:这[个]?(?:词[组]?|句(?:子|话)?|短语))?[的用](\w+?[文语])')
+]
+
+_lang_query_matcher = [
+    re.compile('[把将]?(?:(?:这[个]?|[下后][面]?)(?:词[组]?|句(?:子|话)?|短语))翻译[成为到](\w+?[文语])[ :：,，.。](.*)'),
+    re.compile('[用]?(\w+[文语])\w+?(?:说|讲|表达|表示)(.*)(?:这[个]?(?:词[组]?|句(?:子|话)?|短语))'),
+    re.compile('[用]?(\w+[文语])\w+?(?:说|讲|表达|表示)(.*)')
+]
+
+
+@as_processor(keywords=('翻译(为|成|到)?', '.+(文|语)'))
+def _processor(sentence, segmentation):
+    lang = None
+    query = None
+    for matcher in _query_lang_matcher + _lang_query_matcher:
+        m = matcher.match(sentence)
+        if m:
+            if matcher in _lang_query_matcher:
+                lang, query = m.group(1), m.group(2)
+            else:
+                lang, query = m.group(2), m.group(1)
+            break
+    if lang and query:
+        return 90, 'translate.translate_to', ' '.join((lang.strip(), query.strip(' ,，'))), None
+    return None