A New Model for the Arabic Language Based on the Semantic Representation of Words and Sentences

Author:

Awajan Arafat A.

Publisher

Springer Nature Switzerland

Reference23 articles.

1. Jurafsxy, D., Martin, J.: Speech and Language Processing. Pearson Higher education (2000)

2. Abdul Qudar, M., Mago, V.: A Survey on Language Models. ACM … (2020)

3. Salamaa, R.A., Youssef, A., Fahmya, A.: Morphological word embedding for Arabic. In: The 4th International Conference on Arabic Computational Linguistics (ACLing 2018), November 17–19 2018, Dubai, United Arab Emirates. Procedia Computer Science, vol. 142, pp. 83–93 (2018)

4. Suleiman, D., Awajan, A.: Using part of speech tagging for improving Word2vec model. In: Proceedings of the 2nd International Conference on New Trends in Computing Science (ICTCS’19), Amman-Jordan (2019)

5. Soliman, A., Eissa, K., El-Beltagy, S.R.: AraVec: A set of Arabic word embedding models for use in Arabic NLP In: 3rd International Conference on Arabic Computational Linguistics, ACLing 2017, 5–6 November 2017, Dubai, United Arab Emirates (2017)

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