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.
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
Affiliations
Fields, topics and concepts
📚 Shelves 4The field of science this work belongs to (OpenAlex fields).Artificial Intelligence · 5 worksArts and Humanities · 5 worksComputer Science · 5 worksLanguage and Linguistics · 5 works
🧭 Topics 3Research subjects and languages the work is about.Semitic languages · 5 worksSentiment & emotion · 1 workMachine translation · 1 work
Works by year
2020s
2010s
Papers
- 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. - 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. - 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. - 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… - 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
Venues
- Arabic Natural Language Processing Workshop (WANLP) ×3: WANLP 2022, WANLP 2020, WANLP 2019
- Arabic Natural Language Processing Conference (ArabicNLP): ArabicNLP 2023
- Language Resources and Evaluation Conference (LREC): LREC 2020
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