Leveraging Morphological and Lexical Features in Synthetic Data Generation for Dialect-Specific Machine Translation

Christian Schuler

Datum

2024

Art

Masterarbeit

Veröffentlicht in

Master thesis, University of Hamburg. Supervised by Dr. Sina Ahmadi, Dr. Seid Muhie Yimam, and Prof. Dr. Chris Biemann.

Personen

• Sina Ahmadi (Supervisor)
• Seid Muhie Yimam (Supervisor)
• Chris Biemann (Examiner)

Schlagwörter

• machine translation
• dialects
• synthetic data
• morphology

Links

• Publication