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Abstract4-7 Chapter 1 Introduction7-20 1.1 Background and significance of the research7-14 1.2 A survey for Arabic NER14-17 1.3 The main research content17-20 1.3.1 Find useful features for Arabic NER17 1.3.2 Rule-Based method for NER17-18 1.3.3 Machine Learning method for NER18-19 1.3.4 Hybrid model for NER19-20 Chapter 2 Rule-Based Method for Arabic NER20-28 2.1 Introduction20-21 2.2 Data Collection21-23 2.3 The Ruled-Based Component23-24 2.4 Proper Names in Arabic24 2.5 Where to search for Names in the Text24-25 2.6 The Rule-based architecture25-26 2.7 Experiments and Results26-27 2.8 Brief summary27-28 Chapter 3 Machine Learning Method for Arabic NER28-34 3.1 Introduction28-31 3.2 Features for Machine Learning model31-32 3.2.1 Features for ANERcorp31 3.2.2 Part-Of-Speech Tagger (POS Tagger)31-32 3.3 Experiments and Results32-33 3.4 Brief summary33-34 Chapter 4 Hybrid Approach for Arabic NER34-41 4.1 Introduction34 4.2 The Proposed Hybrid Approach34-35 4.3 Experiments and Results35-36 4.4 The Evaluation Method36-40 4.5 Brief summary40-41 ,阿拉伯语论文,阿拉伯语论文 |