--- title: "Who cites Constrained Sequence-to-sequence Semitic Root…" description: "The papers of the Elamur Research library that cite «Constrained Sequence-to-sequence Semitic Root Extraction for Enriching Word Embeddings», found in…" canonical: "https://research.elamur.ai/free/en/papers/aclbulk-2019-kishky-constrained-sequence-sequence-semitic-root/cited-by/" --- [Elamur Research](https://md.research.elamur.ai/free/en/) · [this page in HTML](https://research.elamur.ai/free/en/papers/aclbulk-2019-kishky-constrained-sequence-sequence-semitic-root/cited-by/) [home](https://md.research.elamur.ai/free/en/) / [papers](https://md.research.elamur.ai/free/en/papers/) / [Constrained Sequence-to-sequence Semitic Root…](https://md.research.elamur.ai/free/en/papers/aclbulk-2019-kishky-constrained-sequence-sequence-semitic-root/) / cited by # 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.research.elamur.ai/free/en/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.research.elamur.ai/free/en/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. [DiaLex: A Benchmark for Evaluating Multidialectal Arabic Word Embeddings](https://aclanthology.org/2021.wanlp-1.2/) *— 2021 · Proceedings of the Sixth Arabic Natural Language Processing Workshop* 4. [On the Importance of Tokenization in Arabic Embedding Models](https://md.research.elamur.ai/free/en/papers/aclbulk-2020-alkaoud-importance-tokenization-arabic-embedding-models/) *— our card · 2020 · Proceedings of the Fifth Arabic Natural Language Processing Workshop*