🧑‍🔬 Shahram Khadivi

🏛️ Affiliations

🏢eBaySan Jose · United States2022–2026 · 12 paperscurrent🎓Amirkabir University of TechnologyTehran · Iran2008–2023 · 55 papersEmployment 2008–2015 · Assistant Professor, Computer Engineering🎓RWTH Aachen UniversityAachen · Germany2002–2021 · 11 papersEducation 2002–2008 · Doctor, Ph.D, Human Language Technology and Pattern Recognition🏢eBayDublin · Ireland2017–2020 · 5 papers🎓Monash UniversityMelbourne · Australia2022–2024 · 3 papers

🏛️eBayAachen · Germany2018Employment since 2018 · Principal Research Scientist / Director of Applied Research, Core AI

🏛️eBay IncAachen · Germany2015–2018Employment 2015–2018 · Senior Research Scientist / Senior Research Manager

From the bylines of their papers (OpenAlex, 2026-10-14), ORCID and Wikidata; institutions on papers are matched by machine. 3 more institutions on single bylines are not listed.

🧭 Fields, topics and concepts

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

📅 Works by year

2020s

2000s

📄 Papers

The most cited first (OpenAlex and our library).

1. Statistical Approaches to Computer-Assisted Translation (2008 · 313 citations)
   Machine translation output still needs human correction. The usual workflow, where MT runs first and a person post-edits afterwards, keeps the translator and the system apart. Barrachina et al. put the human inside the translation loop instead, an approach they call interactive-predictive machine translation (IPMT).…
2. Morpho-syntactic Arabic Preprocessing for Arabic to English Statistical Machine Translation (2006 · 43 citations)
   Arabic attaches conjunctions, prepositions, the article and pronouns directly to words. As a result, an Arabic–English parallel corpus has a far larger and sparser Arabic vocabulary, with many singletons, and this hurts alignment in statistical MT. The authors preprocess the Arabic side in several steps:
3. Adapting Vision-Language Models for E-commerce Understanding at Scale (2026)
   The paper, from eBay and the University of Amsterdam, asks how to make general-purpose Vision-Language Models (VLMs) better at e-commerce without losing their general multimodal skills.

All works

4 works of theirs in our library, the most cited first; 3 with a page here, the others link their original until we summarise them.

1. Statistical Approaches to Computer-Assisted TranslationComputational LinguisticsSergio Barrachina, Oliver Bender, Francisco Casacuberta, et al.2008 · 313 citations
2. Pivot-based Transfer Learning for Neural Machine Translation between Non-English Languages ↗Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP) · no summary yetYunsu Kim et al.2019 · 106 citations
3. Morpho-syntactic Arabic Preprocessing for Arabic to English Statistical Machine TranslationConference on Machine Translation (WMT)Anas El Isbihani, Shahram Khadivi, Oliver Bender, et al.2006 · 43 citations
4. Adapting Vision-Language Models for E-commerce Understanding at ScaleConference of the European Chapter of the Association for Computational Linguistics (EACL)Matteo Nulli, Vladimir Orshulevich, Tala Bazazo, et al.2026

🤝 Co-authors here

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

• Hermann Ney ×2
• Oliver Bender ×2
• Enrique Vidal
• Francisco Casacuberta
• Yannick Versley

Venues

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

• Computational Linguistics: Computational Linguistics 2008
• Conference of the European Chapter of the Association for Computational Linguistics (EACL): EACL 2026
• Conference on Machine Translation (WMT): WMT 2006
• Proceedings of the 2019 Conference on Empirical Methods in Natural Language Processing and the 9th International Joint Conference on Natural Language Processing (EMNLP-IJCNLP)

🔗 Cited by

Papers of our library cite their works 133 times (of the 149,439 papers whose bibliographies we read); 12 citing papers with a page here →.

Updated 1 November 2026

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