Suleiman et al., 2018 - Google Patents
Comparative study of word embeddings models and their usage in Arabic language applicationsSuleiman et al., 2018
View PDF- Document ID
- 6950382661041236464
- Author
- Suleiman D
- Awajan A
- Publication year
- Publication venue
- 2018 International Arab Conference on Information Technology (ACIT)
External Links
Snippet
Word embeddings is the representation of the text using vectors such that the words that have similar syntax and semantic will have similar vector representation. Representing words using vectors is very crucial for most of natural language processing applications. In …
- 230000000052 comparative effect 0 title abstract description 5
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