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Lahouari Ghouti

Lahouari Ghouti has 4 papers in our library, in 2024–2026, most of them on Semitic languages, Machine translation, Language models & pretraining; often with Anis Koubaa, Serry Sibaee, Abdullah Alharbi.

4 papers in our library · 2024–2026

OpenAlex · ORCID · h-index 20 · 105 works · 1 845 citations OpenAlex, 2026-10-14

4 works in our library · 28 citations in our library · 4 more works in our library · ⭐ Paper Star rank #4609

The profile is the library's match of the name; two people with one name are not always told apart.

Elsewhere: Google Scholar · Semantic Scholar · dblp · ACL Anthology

Affiliations

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine.

Topics

Semitic languages4Machine translation1Language models & pretraining1

Works by year

2020s

20261 paper20243 papers

Papers

The most cited first (OpenAlex and our library).

  1. ArabianGPT: Native Arabic GPT-based Large Language Model (2024 · 17 citations)
    The paper argues that Arabic lacks generative language models built mainly around Arabic itself. Many existing models are multilingual or bilingual, and their vocabularies carry many English tokens, which the authors see as a poor fit for Arabic's rich morphology. Their answer is ArabianGPT, part of a wider…
  2. ASOS at OSACT6 Shared Task: Investigation of Data Augmentation in Arabic Dialect-MSA Translation (2024 · 4 citations)
    This paper presents the ASOS team's submission to the OSACT 2024 shared task, which involved converting dialectal Arabic (Gulf, Egyptian, Levantine, Iraqi, Maghrebi) into Modern Standard Arabic. The main obstacle is the lack of data: the organizers supplied only about 200 parallel sentences per dialect.
  3. ASOS at NADI 2024 shared task: Bridging Dialectness Estimation and MSA Machine Translation for Arabic Language Enhancement (2024 · 2 citations)
    This NADI 2024 submission tackles two linked Arabic tasks. The first is predicting a sentence's Arabic Level of Dialectness (ALDi) as a continuous score. The second is translating four dialects (Egyptian, Emirati, Jordanian, Palestinian) into Modern Standard Arabic (MSA).
  4. CANDLE: CTC-based Arabic Noisy-character Deduplication using a Lightweight Encoder (2026)
    Writers on social media often stretch Arabic words by repeating letters for emphasis. Some doubled letters, however, belong to the correct spelling, and collapsing them can turn one word into another, for example "kingdom" into "queen". CANDLE tackles this without rules, dictionaries or morphological analyzers. It…

Also in our library

4 more works of theirs are in our library without a page here yet; they will appear as we publish them.

Co-authors here

8 co-authors with a page, the most papers together first.

Cited by

Papers of our library cite their works 28 times (of the 140 884 papers whose bibliographies we read); 7 citing papers with a page here →.

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