Efficient word encoding for recurrent neural network language models

• 1. 利用语言模型预测词出现概率及语言模型训练方法和装置 [P] . 中国专利： CN111783431A . 2020-10-16
• 2. 一种基于字和词混合语言模型的汉语语音关键词检索方法 [P] . 中国专利： CN106294460B . 2019.10.22
• 3. EFFICIENT WORD ENCODING FOR RECURRENT NEURAL NETWORK LANGUAGE MODELS [P] . 美国专利： US2017091169A1 . 2017-03-30

  机译： 递归神经网络语言模型的有效单词编码

• 4. Multi-task recurrent neural network architecture for efficient morphology handling in neural language modeling [P] . 美国专利： US10657328B2 . 2020.05.19
• 5. MULTI-TASK RECURRENT NEURAL NETWORK ARCHITECTURE FOR EFFICIENT MORPHOLOGY HANDLING IN NEURAL LANGUAGE MODELING [P] . 美国专利： US2018349349A1 . 2018-12-06

  机译： 神经语言建模中有效形态处理的多任务递归神经网络体系结构

• 1. Discussion of stability in a class of models on recurrent wavelet neural networks [J] . DENG Ren, LI Zhu-xin, FAN You-hong 应用数学和力学（英文版） . 2007,第004期
• 2. Latent Words Recurrent Neural Network Language Models for Automatic Speech Recognition [J] . Ryo MASUMURA, Taichi ASAMI, Takanobu OBA, IEICE transactions on information and systems . 2019,第12期
• 3. A Two-Level Recurrent Neural Network Language Model Based on the Continuous Bag-of-Words Model for Sentence Classification [J] . Lee Yo Han, Kim Dong W., Lim Myo Taeg International Journal of Artificial Intelligence Tools: Architectures, Languages, Algorithms . 2019,第1期
• 4. Compression of recurrent neural networks for efficient language modeling [J] . Grachev Artem M., Ignatov Dmitry I., Savchenko Andrey V Applied Soft Computing . 2019,第期
• 5. Exploiting the Succeeding Words in Recurrent Neural Network Language Models [C] . Yangyang Shi, Martha Larson, Pascal Wiggers, Conference of the International Speech Communication Association . 2013
• 6. Deep Neural Language Model for Text Classification Based on Convolutional and Recurrent Neural Networks [D] . Hassan, Abdalraouf. 2018
• 7. An Efficient and Perceptually Motivated Auditory Neural Encoding and Decoding Algorithm for Spiking Neural Networks [O] . Zihan Pan, Yansong Chua, Jibin Wu, 2019
• 8. Latent Words Recurrent Neural Network Language Models for Automatic Speech Recognition [O] . Ryo MASUMURA, Taichi ASAMI, Takanobu OBA, 2019

• 1. Multi-GPU Based Recurrent Neural Network Language Model Training [J] . Xiaoci Zhang1 ,Naijie Gu1 ,Hong Ye1 . 国际计算机前沿大会会议论文集 . 2016,第001期
• 2. Tuning Recurrent Neural Networks for Recognizing Handwritten Arabic Words [J] . Esam Qaralleh ,Gheith Abandah ,Fuad Jamour . 软件工程与应用（英文） . 2013,第10期
• 3. OTT Messages Modeling and Classification Based on Recurrent Neural Networks [J] . Guangyong Yang ,Jianqiu Zeng ,Mengke Yang . 计算机、材料和连续体(英文) . 2020,第5期
• 4. Negation Scope Detection with Recurrent Neural Networks Models in Review Texts [J] . Lydia Lazib1 ,Yanyan Zhao1 ,Bing Qin1 . 国际计算机前沿大会会议论文集 . 2016,第001期
• 5. 一种适用于语言模型的检索词扩展方法 [C] . 张斌 ,周延泉 . 第五届全国青年计算语言学研讨会(YWCL 2010) . 2010
• 6. 基于词袋和N-Gram统计语言模型的越南语文本分类研究 [A] . 豆孟寰 . 2015