MASRAD: Arabic Terminology Management Corpora with Semi-Automatic Construction

Mahdi Nasser, Laura Sayyah, Fadi A. Zaraket
3/24/2025
cs.CL

No confident code implementation found for this paper.

Abstract

This paper presents MASRAD, a terminology dataset for Arabic terminology management, and a method with supporting tools for its semi-automatic construction. The entries in MASRAD are $(f,a)$ pairs of foreign (non-Arabic) terms $f$, appearing in specialized, academic and field-specific books next to their Arabic $a$ counterparts. MASRAD-Ex systematically extracts these pairs as a first step to construct MASRAD. MASRAD helps improving term consistency in academic translations and specialized Arabic documents, and automating cross-lingual text processing. MASRAD-Ex leverages translated terms organically occurring in Arabic books, and considers several candidate pairs for each term phrase. The candidate Arabic terms occur next to the foreign terms, and vary in length. MASRAD-Ex computes lexicographic, phonetic, morphological, and semantic similarity metrics for each candidate pair, and uses heuristic, machine learning, and machine learning with post-processing approaches to decide on the best candidate. This paper presents MASRAD after thorough expert review and makes it available to the interested research community. The best performing MASRAD-Ex approach achieved 90.5% precision and 92.4% recall.

View on arXivView PDF

Code Implementations

No confident code match yet

We couldn't find an author-owned or strongly-evidenced community implementation for this paper. Any repos shown below are weak matches — verify before relying on them.

No code implementations found yet.

Know of an implementation? Let us know in the comments below!

Similar Papers

MURAD: A Large-Scale Multi-Domain Unified Reverse Arabic Dictionary Dataset

83% match2026

Wasm: A Pipeline for Constructing Structured Arabic Interleaved Multimodal Corpora

79% match2025

Advancing Arabic Reverse Dictionary Systems: A Transformer-Based Approach with Dataset Construction Guidelines

79% match2025

A Sequence-to-Sequence Approach for Arabic Pronoun Resolution

78% match2023

GATE: General Arabic Text Embedding for Enhanced Semantic Textual Similarity with Matryoshka Representation Learning and Hybrid Loss Training

78% match2025

Alexandria: A Multi-Domain Dialectal Arabic Machine Translation Dataset for Culturally Inclusive and Linguistically Diverse LLMs

78% match2026

Cite this paper

@article{nasser2025masrad,
  title  = {MASRAD: Arabic Terminology Management Corpora with Semi-Automatic Construction},
  author = {Mahdi Nasser and Laura Sayyah and Fadi A. Zaraket},
  year   = {2025},
  eprint = {2503.19211},
  archivePrefix = {arXiv},
  url    = {http://arxiv.org/abs/2503.19211v2}
}

Add a badge to your README

Shows whether official code is linked for this paper.

Code of Paper badge
[![Code of Paper](https://codeofpaper.com/badge/2503.19211.svg)](https://codeofpaper.com/paper/2503.19211)

Discussion