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# Who cites «Constrained Sequence-to-sequence Semitic Root Extraction for Enriching Word Embeddings»

4 papers of our library cite it, newest first: found in their bibliographies, which we read ourselves. [← the card](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2019-kishky-constrained-sequence-sequence-semitic-root/)

1. [Semitic Root Encoding: Tokenization Based on the Templatic Morphology of Semitic Languages in NMT](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2025-hatch-semitic-root-encoding-tokenization-based/) *— our card · 2025 · Proceedings of The Third Arabic Natural Language Processing Conference*
2. [Cross-lingual transfer for low-resource Arabic language understanding](https://aclanthology.org/2022.wanlp-1.21/) *— 2022 · Proceedings of the Seventh Arabic Natural Language Processing Workshop (WANLP)*
3. [On the Importance of Tokenization in Arabic Embedding Models](https://md.mova.elamur.ai/free/en/docs/papers/aclbulk-2020-alkaoud-importance-tokenization-arabic-embedding-models/) *— our card · 2020 · Proceedings of the Fifth Arabic Natural Language Processing Workshop*
4. mageed-2021-dialex-benchmark-evaluating-multidialectal-arabic
- [← previous Who cites «Using Syntax to Resolve NPE in English»](https://md.mova.elamur.ai/free/en/docs/papers/cited-by/aclbulk-2019-khullar-syntax-resolve-npe-english/)
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