Metaphor Recognition of English Learners Based on Machine Learning Algorithm
The advantage of machine learning algorithm lies in predicting the semantic category of new language features according to the joint probability distribution of existing language features and their semantic categories. Based on a machine learning algorithm, this paper studies the metaphor recognitio...
Main Author: | Fu, X. (Author) |
---|---|
Format: | Article |
Language: | English |
Published: |
Hindawi Limited
2022
|
Subjects: | |
Online Access: | View Fulltext in Publisher |
Similar Items
-
TOLOMEO, a Novel Machine Learning Algorithm to Measure Information and Order in Correlated Networks and Predict Their State
by: Mattia Miotto, et al.
Published: (2021-08-01) -
Using the Semantic Information G Measure to Explain and Extend Rate-Distortion Functions and Maximum Entropy Distributions
by: Chenguang Lu
Published: (2021-08-01) -
One General Approach For Analysing Compositional Structure Of Terms In Biomedical Field
by: Chao, Yang, et al.
Published: (2013) -
Maximum Entropy Estimation of Probability Distribution of Variables in Higher Dimensions from Lower Dimensional Data
by: Jayajit Das ', et al.
Published: (2015-07-01) -
Potential distribution model of Leontochir ovallei using remote sensing data
by: S. Pacayán, et al.
Published: (2019-12-01)