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

nl_processor.py

@@ -0,0 +1,38 @@
+import re
+
+import jieba.posseg
+
+_processors = []
+_processors_without_keyword = []
+
+
+def as_processor(keywords=None):
+    def decorator(func):
+        if keywords:
+            _processors.append((keywords, func))
+        else:
+            _processors_without_keyword.append(func)
+        return func
+
+    return decorator
+
+
+def parse_potential_commands(sentence):
+    segmentation = list(jieba.posseg.cut(sentence=sentence))
+    print('分词结果:', segmentation)
+    potential_commands = []
+    for processor in _processors:
+        processed = False
+        for regex in processor[0]:
+            for word, flag in segmentation:
+                if re.match(regex, word):
+                    potential_commands.append(processor[1](sentence, segmentation))
+                    processed = True
+                    # A word matched, skip the rest of words
+                    break
+            if processed:
+                # Current processor has processed, skip the rest of keywords
+                break
+    for func in _processors_without_keyword:
+        potential_commands.append(func(sentence, segmentation))
+    return potential_commands