Compression versus traditional machine learning classifiers to detect code-switching in varieties and dialects: Arabic as a case study.
Taghreed TarmomWilliam John TeahanEric AtwellMohammad Ammar AlsalkaPublished in: Nat. Lang. Eng. (2020)
Keyphrases
- machine learning
- machine learning algorithms
- machine learning methods
- machine learning approaches
- decision trees
- supervised classification
- feature selection
- pattern recognition
- training data
- support vector
- data mining
- meta learning
- case study
- image compression
- learning tasks
- detection algorithm
- learning classifier systems
- source code
- learning algorithm
- inductive learning
- compression scheme
- arabic language
- data sets
- compression ratio
- svm classifier
- support vector machine
- detection method
- data compression
- compression algorithm
- reinforcement learning
- natural language
- naive bayes
- multiple classifier systems
- roc analysis
- multi class
- malware detection
- train a support vector machine
- training samples
- feature set
- text mining
- natural language processing
- wavelet transform
- training set