ملف الباحث

Mohammad Salameh

4 أوراق في مجموعة PaperMetrix

المنشورات

أوراق هذا المؤلف

  1. What Matters Most in Morphologically Segmented SMT Models?

    2015

    Morphological segmentation is an effective strategy for addressing difficulties caused by morphological complexity. In this study, we use an English-to-Arabic test bed to determine what steps and components of a phrase-based statistical machine translation pipeline …

  2. L2NAS

    2021

    Neural architecture search (NAS) has achieved remarkable results in deep neural network design. Differentiable architecture search converts the search over discrete architectures into a hyperparameter optimization problem which can be solved by gradient descent. However, …

  3. Building Optimal Neural Architectures using Interpretable Knowledge

    2024 · arXiv (Cornell University)

    Neural Architecture Search is a costly practice. The fact that a search space can span a vast number of design choices with each architecture evaluation taking nontrivial overhead makes it hard for an algorithm to …

  4. Fine-Grained Arabic Dialect Identification

    2018 · International Conference on Computational Linguistics

    Previous work on the problem of Arabic Dialect Identification typically targeted coarse-grained five dialect classes plus Standard Arabic (6-way classification). This paper presents the first results on a fine-grained dialect classification task covering 25 specific …