Parallel Text and Translation Corpus

Parallel Text and Translation Corpus

Introduction to Parallel Text and Translation Corpus

The Parallel Text and Translation Corpus is a valuable collection of Arabic texts along with their equivalent Persian translations, providing a rich resource for translation research and natural language processing.

Statistics and Figures

• More than 260,000 text segments in Arabic
• Equivalent Persian translation for each text segment
• 140 paired book titles as data sources

Corpus Content

Applications

• Machine Translation: Training Neural Machine Translation (NMT) and Statistical Machine Translation (SMT) models
• Bilingual Natural Language Processing: Developing cross-lingual models
• Comparative Studies: Studying similar and different linguistic structures in two languages
• Translation Evaluation: Creating benchmarks for translation quality assessment
• Bilingual Machine Learning: Training bilingual embedding models

Benefits

• Large Volume: More than 260,000 text segments for training deep models
• Source Diversity: Derived from 140 different paired books
• Precise Alignment: Sentence-to-sentence and text-to-text pairs
• Broad Applicability: Suitable for various types of machine translation systems