TPOS Tagging Method Based on BiLSTM_CRF Model

• 作 者: Lili Wang Ziyan Chen Hongwu Ya
• 机 构: CollegeofPhysicsandElectronicEngineering,EngineeringResearchCenterofGansuProvinceforIntelligentInfor
• 出 处: 国际计算机前沿大会会议论文集
• 发表日期: 2019年1期
• 关键词: DEEP LEARNING WORD EMBEDDING MODEL TIBETAN part-of-speech

Part of speech (POS) tagging determines the attributes of each word, and it is the fundamental work in machine translation, speech recognition, information retrieval and other fields. For Tibetan part-of-speech (TPOS) tagging, a tagging method is proposed