Elamur Research⌕
☰
home / authors / Saméh Kchaou

Saméh Kchaou

Saméh Kchaou has 5 papers in our library, in 2019–2023, most of them on Semitic languages, Machine translation, Sentiment & emotion; often with Lamia Hadrich Belguith, Rahma Boujelbane, Fethi Bougares.

5 papers in our library · 2019–2023

OpenAlex · ORCID · h-index 4 · 12 works · 47 citations OpenAlex, 2026-10-14

📄 5 works in our library · 🔗 Cited 14 times in our library · ⭐ Paper Stars ranking: #8290

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.

 Fields, topics and concepts

Of its works in our library, with the number of works on each.

 Works by year

2020s

2010s

 Papers

The most cited first (OpenAlex and our library).

  1. Benchmarking transfer learning approaches for sentiment analysis of Arabic dialect (2022 · 9 citations)
    The paper describes the authors' system for the country-level sentiment subtask of the third NADI shared task.
  2. Text and Speech-based Tunisian Arabic Sub-Dialects Identification (2020 · 7 citations)
    The paper asks whether standard dialect identification (DID) can still separate Arabic varieties when they come from cities in the same country.
  3. LIUM-MIRACL Participation in the MADAR Arabic Dialect Identification Shared Task (2019 · 7 citations)
    The paper reports the LIUM and MIRACL team's entry in subtask 1 (Travel Domain Dialect Identification) of the MADAR shared task at WANLP 2019.
  4. ANLP-RG at NADI 2023 shared task: Machine Translation of Arabic Dialects: A Comparative Study of Transformer Models (2023 · 6 citations)
    This paper is the ANLP-RG team's entry to NADI 2023 Subtask 2. The task is sentence-level translation from four Arabic dialects (Egyptian, Emirati, Jordanian, Palestinian) into Modern Standard Arabic (MSA), using only the MADAR parallel corpus for training. MADAR has no Emirati–MSA section, so the team had to work…
  5. Parallel resources for Tunisian Arabic Dialect Translation (2020 · 5 citations)
    The paper addresses the lack of parallel data for translating Tunisian Arabic dialect (TD), as written informally on social media, into Modern Standard Arabic (MSA).

 Co-authors here

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

Venues

Where their works here were published, the most works first, with the editions of those that have a page.

 Cited by

Papers of our library cite their works 14 times (of the 149,439 papers whose bibliographies we read); 8 citing papers with a page here →.

Updated

This page in Markdown → https://md.research.elamur.ai/free/en/authors/sameh-kchaou/