Even-Russian Parallel Corpus for Machine Translation

Approximately 50 parallel sentence and phrase pairs in the Even and Russian languages. The dataset is intended for research in machine translation, natural language processing, and preservation of the endangered Even language. It was created by DaniilMako and last updated on June 16, 2026.

Use Cases

• Train machine translation models based on the parallel Even-Russian sentence pairs.
• Conduct linguistic research on the Even language based on the bilingual text corpus.
• Develop language preservation tools for endangered languages based on the provided parallel data.
• Benchmark NLP models for low-resource language scenarios based on the small-scale, focused corpus.

Strengths

• Contains approximately 50 parallel sentence and phrase pairs, providing a foundation for low-resource NLP tasks.
• Explicitly designed for research on the endangered Even language, a Tungusic language of Siberia.

Limitations

• Row count is unknown, which may limit suitability assessment.
• Column-level documentation is absent; field semantics must be inferred after download.
• Description metadata is limited; actual data quality requires manual inspection after download.

Provenance

Source

DaniilMako

Freshness

Last updated 2026-06-16 04:07:15; freshness should be verified.