---
title: "Who cites Constrained Sequence-to-sequence Semitic Root…"
description: "4 papers of the Elamur Research library cite «Constrained Sequence-to-sequence Semitic Root Extraction for Enriching Word Embeddings», found in their…"
canonical: "https://research.elamur.ai/free/en/papers/kishky-2019-constrained-sequence-sequence-semitic-root/cited-by/"
---
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[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/kishky-2019-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 (of the 140,884 whose bibliographies we read) · 2 with a page here, the most cited first · [← the paper](https://md.research.elamur.ai/free/en/papers/kishky-2019-constrained-sequence-sequence-semitic-root/)

1. [**On the Importance of Tokenization in Arabic Embedding Models**Mohamed Alkaoud, Mairaj Syed*2020 · 11 citations*](https://md.research.elamur.ai/free/en/papers/alkaoud-2020-importance-tokenization-arabic-embedding-models/)
2. [**Semitic Root Encoding: Tokenization Based on the Templatic Morphology of Semitic Languages in NMT**Brendan T. Hatch, Stephen D. Richardson*2025*](https://md.research.elamur.ai/free/en/papers/hatch-2025-semitic-root-encoding-tokenization-based/)

2 more papers of our library cite it; they have no page here yet.

- [← back to](https://md.research.elamur.ai/free/en/papers/kishky-2019-constrained-sequence-sequence-semitic-root/) — Constrained Sequence-to-sequence Semitic Root Extraction for Enriching Word Embeddings