MOROCO: Moldavian and Romanian Dialectal Corpus

33,564 text samples from the news domain categorized into six distinct topics: culture, finance, politics, science, sports, and tech. The collection specifically targets the linguistic differences between the Moldavian and Romanian dialects for classification tasks.

Use Cases

• Train a dialect identification model to distinguish between Moldavian and Romanian text samples
• Develop a topic classification system using the six provided category labels
• Conduct comparative linguistic studies on news vocabulary and syntax across the two dialects

Strengths

• 33,564 text samples collected from news sources
• Six topic labels: culture, finance, politics, science, sports, and tech
• Explicit focus on Moldavian and Romanian dialectal variations