English Grammar Detection Based on LSTM-CRF Machine Learning Model
Deep learning and neural network have been widely used in the field of speech, vocabulary, text, pictures, and other information processing fields, which has achieved excellent research results. Neural network algorithm and prediction model were used in this paper for the study and exploration of En...
Main Authors: | Liqin Wu, Meisen Pan |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2021-01-01
|
Series: | Computational Intelligence and Neuroscience |
Online Access: | http://dx.doi.org/10.1155/2021/8545686 |
Similar Items
-
Bidirectional LSTM-CNNs-CRF Models for POS Tagging
by: Tang, Hao
Published: (2018) -
An Attention-Based BiLSTM-CRF Model for Chinese Clinic Named Entity Recognition
by: Guohua Wu, et al.
Published: (2019-01-01) -
A Character-Level BiLSTM-CRF Model With Multi-Representations for Chinese Event Detection
by: Xiaofeng Mu, et al.
Published: (2019-01-01) -
Delayed Combination of Feature Embedding in Bidirectional LSTM CRF for NER
by: Chirawan Ronran, et al.
Published: (2020-10-01) -
LSTM-CRF Neural Network With Gated Self Attention for Chinese NER
by: Yanliang Jin, et al.
Published: (2019-01-01)