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Register a new userUnsupervised Adverbial Identification in Modern Chinese Literature
التعرف على تحديد ظرفات غير معينة في الأدب الصيني الحديث
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في العديد من اللغات، يمكن استخلاص Adverbials من كلمات من أجزاء مختلفة من الكلام.باللغة الصينية، قد يتم وضع علامة على الاشتقاق إما باستخدام علامة Adverbial DI القياسية، أو علامة غير قياسية DE.نظرا لأن دي يخدم أيضا واجبا مزدوجا كما يتطلب العلامة الواسعة، فإن التعرف الدقيق للإعلانات يتطلب الغموض على الدور النحامي.نظرا لأن المحللين مدربون في الغالب على النصوص باستخدام علامة Adverbial DI القياسية، فغالبا ما يفشلون في التعرف على Adverbials لاحقة مع DE غير قياسي.تعالج هذه الورقة هذه المشكلة مع نهج غير مخالف للقواعد لتحديد الوظائف الذي يستخدم أنماط شجرة التبعية.تظهر نتائج التجربة أن هذا النهج يتفوق على خط الأساس نموذج لغة ملثم.نطبق هذا النهج لتحليل استخدام العلامة المعيارية وغير القياسية غير القياسية في الأدب الصيني الحديث.
In many languages, adverbials can be derived from words of various parts-of-speech. In Chinese, the derivation may be marked either with the standard adverbial marker DI, or the non-standard marker DE. Since DE also serves double duty as the attributive marker, accurate identification of adverbials requires disambiguation of its syntactic role. As parsers are trained predominantly on texts using the standard adverbial marker DI, they often fail to recognize adverbials suffixed with the non-standard DE. This paper addresses this problem with an unsupervised, rule-based approach for adverbial identification that utilizes dependency tree patterns. Experiment results show that this approach outperforms a masked language model baseline. We apply this approach to analyze standard and non-standard adverbial marker usage in modern Chinese literature.
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