典型的应用就是语音识别,也叫做语音辨识(Automatic Speech Recognition,简称ASR). 语言识别是一个很早就开始研究的课题。早期的语音识别,往往采用基于HMM模型的算法,加上声学模型(Acoustic Model),语言模型(Language Model)和 词典(Lexicon)。虽然经过多年的研究,效果不错,但是算法流程复杂,模型很大,难以适应目前物联网...
In recent years, Deep Learning (DL) techniques have gained much at-tention from Artificial Intelligence (AI) and Natural Language Processing (NLP) research communities because these approaches can often learn features from data without the need for human design or engineering interventions. In ...
2020-03-17 Deep Learning for Human Language Processing Part 1(P1 to P2) 2021-02-20 Deep Learning for Human Language Processing Part 2(P3 to P5) 2021-03-01 Deep Learning for Human Language Processing Part 5(P10 to P11) 2021-02-28 Deep Learning for Human Language Processing...
This makes the learning of the model difficult because the model won’t be able to leverage much of what it has learned about cat when it is processing the data regarding dog. Therefore, discrete IDs separate the actual semantic meaning of the word from its representation. Although some statis...
原文名称:Deep Learning for NLP (Natural Language Processing): Advancements & Trends 原文链接:https://tryolabs.com/blog/2017/12/12/deep-learning-for-nlp-advancements-and-trends-in-2017/ Over the past few years,Deep Learning(DL) architectures and algorithms have made impressive advances in fields...
Over the past decade, deep learning techniques have been remarkably integrated into Natural Language Processing (NLP), propelling it to unprecedented heights. With its ability to analyze and understand human language, deep learning has revolutionized how we interact with and extract information from text...
Deep learning has become the dominant approach to NLP problems, especially when applied on large scale corpora. Recent progress on unsupervised pre-training techniques such as BERT, ELMo, GPT-2, and language modeling in general, when applied on large corpora, is shown to be effective in improvin...
8. Virtual Assistants: Deep Learning enables virtual assistants to understand human language, respond intelligently, and perform tasks such as scheduling, reminders, and answering queries. They are widely used in smartphones, smart speakers, and other smart devices. 9. Gaming: Deep Learning has been...
Natural Language Processing Organizar código comohttps://github.com/graykode/nlp-tutorial Post with usful links:transformers are gnns Index Theory 🛠Pipeline 🔤Tokenization 🔮 Models Recurrent & Convolutional Transformers 👨🏻🏫Transfer Learning ...
Pronounced “babble labs,” a startup that is the brainchild of serial entrepreneur is setting out to transform speech processing and will leverage deep learning to do so. Rowen, CEO of Babblelabs, has spoken for some time about move of processing to more general purpose hardware, with applicat...