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Register a new userThe Reading Machine: A Versatile Framework for Studying Incremental Parsing Strategies
آلة القراءة: إطار متعدد الاستخدامات لدراسة استراتيجيات تحليل تدريجية
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آلة القراءة، هي إطار القراءة، إطار تحليل يأخذ نصا مؤيدا للنص الخام وإجراء ستة مهام NLP القياسية: Tokenization، وضع العلامات على نقاط البيع، التحليل المورفولوجي، الليمات، تحليل التبعية وتجزئة الجملة.تم تصميمه عند التحليل القائم على الانتقال، ويسمح بتنفيذ عدد كبير من تكوينات التحليل، من بينها واحدة تدريجية تماما.يتم تقديم ثلاث دراسات حالة لتسليط الضوء على براعة الإطار.أول واحد يستكشف ما إذا كان المحلل التدريجي قادر على مراعاة التبعيات من أعلى إلى أسفل (أي تأثير القرارات ذات المستوى العالي على المستوى المنخفض)، فإن الثانية تقارن عروض بنية تدريجية وخط الأنابيب والكميات الثالثةتأثير السياق الصحيح على التنبؤات التي أدلى بها محلل تدريجي.
The Reading Machine, is a parsing framework that takes as input raw text and performs six standard nlp tasks: tokenization, pos tagging, morphological analysis, lemmatization, dependency parsing and sentence segmentation. It is built upon Transition Based Parsing, and allows to implement a large number of parsing configurations, among which a fully incremental one. Three case studies are presented to highlight the versatility of the framework. The first one explores whether an incremental parser is able to take into account top-down dependencies (i.e. the influence of high level decisions on low level ones), the second compares the performances of an incremental and a pipe-line architecture and the third quantifies the impact of the right context on the predictions made by an incremental parser.
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