Text Classification Based on Convolutional Neural Networks and Word Embedding for Low-Resource Languages: Tigrinya.
Awet FessehaShengwu XiongEshete Derb EmiruMoussa DialloAbdelghani DahouPublished in: Inf. (2021)
Keyphrases
- text classification
- convolutional neural networks
- n gram
- language independent
- cross lingual
- language specific
- term frequency
- training corpus
- bag of words
- word segmentation
- distributional clustering
- text categorization
- word order
- text mining
- statistical machine translation
- english text
- translation model
- feature selection
- expressive power
- character n grams
- convolutional network
- machine learning
- co occurrence
- language modeling
- semantic features
- target language
- word sense disambiguation
- vector space
- multi label
- machine translation system
- grammar induction
- labeled data
- indian languages
- databases
- pos taggers
- knn
- resource allocation
- bilingual dictionaries
- knowledge discovery
- language identification
- keywords
- cross language