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