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Register a new userComparing Grammatical Theories of Code-Mixing
مقارنة النظريات النحوية من خلط التعليمات البرمجية
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وجدت أنظمة توليد النص المختلط من التعليمات البرمجية قد وجدت تطبيقات في العديد من المهام المصب، بما في ذلك التعرف على الكلام والترجمة والحوار.تعتمد نموذج أنظمة الجيل هذه على نظريات النحوية المحددة جيدا من خلط التعليمات البرمجية، وهناك نقص في مقارنة هذه النظريات.نقدم تقييم بشري واسع النطاق لنظريات نحوية شعبية وشعبية لغة ماتريكس (ML) وقيد التكافؤ (EC).قارناها ضد ثلاث نماذج قائمة على أساسها وتظهر كمية فعالية فعالية نظريتين نحوي.
Code-mixed text generation systems have found applications in many downstream tasks, including speech recognition, translation and dialogue. A paradigm of these generation systems relies on well-defined grammatical theories of code-mixing, and there is a lack of comparison of these theories. We present a large-scale human evaluation of two popular grammatical theories, Matrix-Embedded Language (ML) and Equivalence Constraint (EC). We compare them against three heuristic-based models and quantitatively demonstrate the effectiveness of the two grammatical theories.
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