failed09/bashkir-ngram-index

Bashkir Word N-gram Index v11.4

Exact word n-gram counts derived from the current Bashkir monolingual corpus. The release contains unigram, bigram and trigram indexes for corpus processing, spellchecking, OCR post-processing, autocomplete and lightweight language-model experiments.

Files and Configurations

File	Contents	Rows
unigrams.parquet	Word forms with rank, count, document frequency and normalized frequency	891,588
bigrams.parquet	Two-word sequences and exact counts	12,932,648
trigrams.parquet	Three-word sequences and exact counts	20,523,512

Bigram and trigram files contain only combinations with count >= 2, which reduces the impact of one-off noise. All n-grams are counted inside individual sentences; no n-gram crosses a sentence boundary.

Schema

unigrams.parquet contains rank, word, count, doc_freq and freq_per_million. The other two files contain ngram (words separated by spaces) and count.

Examples

Frequent Bigrams

N-gram	Count
шулай уҡ	189,285
бер нисә	96,602
тағы ла	76,519
халыҡ ара	66,179
шул уҡ	60,350

Frequent Trigrams

N-gram	Count
шул уҡ ваҡытта	32,571
бөйөк ватан һуғышы	18,904
башлығы радий хәбиров	16,213
бөтә донъя башҡорттары	15,554
бер ҡасан да	14,485

These are corpus frequencies, not manually curated phrase lists. Some highly frequent sequences may reflect names, formulaic news language, segmentation artifacts or other corpus-specific patterns.

Method

• Lowercase regex tokenization for Cyrillic Bashkir text, including all nine Bashkir-specific letters.
• Counts are computed from the current cleaned monolingual corpus.
• Unigrams are derived from the canonical frequency index.
• Bigrams and trigrams are exact within-sentence sequences with count >= 2.

Loading

import pandas as pd

unigrams = pd.read_parquet("unigrams.parquet")
bigrams = pd.read_parquet("bigrams.parquet")
trigrams = pd.read_parquet("trigrams.parquet")

For large-scale processing, read only the columns you need and use Parquet filters or streaming batches where supported.

Related Resources

For standalone word frequencies and ranked word forms, use the companion Bashkir Frequency Index. The two datasets are intended to be used together: the frequency release provides unigram statistics, while this release provides within-sentence word sequences.

Quality and Use

This is a statistical index, not a normative Bashkir dictionary or a grammar checker. At this corpus scale, words and phrases from other languages, borrowings, names, regional vocabulary, technical terminology, OCR artifacts and other noise may remain. This is normal for a large web-derived corpus.

Do not treat presence in an n-gram file as proof that a word or phrase is standard Bashkir. Always validate frequency-based suggestions before using them in production, spellchecking, linguistic research or a user-facing application. For OCR and corpus cleaning, combine n-gram scores with language identification, dictionaries and human review for uncertain cases.

License

Distributed under the CC BY 4.0 license. The release contains derived statistics, not the source texts. Upstream source licenses and attribution requirements still apply to the underlying materials.

Citation

@dataset{failed09_bashkir_ngram_index_2026,
  title = {Bashkir Word N-gram Index v11.4},
  author = {failed09},
  year = {2026},
  publisher = {Hugging Face},
  url = {https://huggingface.co/datasets/failed09/bashkir-ngram-index},
  note = {Open-source Bashkir word n-gram index for corpus processing and linguistic research}
}

Open Bashkir Data and Sources 🐝

This dataset is part of an open-source effort to support the development, preservation and practical use of the Bashkir language. Other related models, datasets and tools are available on the author's Hugging Face profile.

The author does not claim ownership or authorship of the source texts or other training materials used to derive this index. Rights and licensing remain with the original authors, publishers and dataset providers. Source texts are not redistributed in this repository; users should review and follow the licenses and attribution requirements of the relevant upstream resources.