Four-State Markov Model Transition Probabilities for Vowel Likelihood

Angelo Maria Sabatini published transition probabilities for a four-state Markov model on figshare in June 2026. The model's states correspond to bigrams of the previous two symbols, and the probabilities determine the likelihood of observing a vowel. The dataset is a 5.5 KB Excel file.

Use Cases

• Simulating symbol sequences based on the described bigram-dependent transition probabilities.
• Analyzing vowel distribution patterns in synthetic text using the provided Markov model.
• Teaching Markov chain concepts with a concrete, small-scale probability matrix.
• Benchmarking simple language models against the described four-state structure.

Strengths

• Dataset is openly licensed under CC-BY-4.0.
• File size is 5.5 KB, enabling quick download and inspection.
• Author and publication date (2026-06-04) are explicitly provided.

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

Angelo Maria Sabatini via figshare

Freshness

Last updated 2026-06-04 17:33:48; freshness should be verified.