Word Normalization and Stemming
Well, today I learned the word normalization and stemming. After word tokenization, we should stem to map them to a normal form. For examples, u should refer "are is " to "be", and refer "windows" to
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相關文章
- 1. Covariate shift and batch normalization
- 2. Feature Scaling: Normalization and Standardization
- 3. stemming與lemmatization
- 4. Word Embeddings And Word Sense
- 5. Word Vectors、GloVe、 and Word Senses
- 6. CS224N lecture2 Word Vectors and Word Senses
- 7. CS224n | (2) Word Vectors and Word Senses
- 8. lecture02 : Word Vectors 2 and Word Senses
- 9. NLP-Task2: Word Vectors and Word Senses
- 10. CS224N Word Vectors 2 and Word Senses