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hyper-efficient-system-llc
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bosnian-corpus-v1

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# Bosnian Corpus (v1.0)
This package contains the plain-text **Bosnian Corpus (v1.0)** and the
accompanying documentation papers.
- **DOI:** https://doi.org/10.5281/zenodo.17757098
- **Author:** Hasan Kahrimanović
- **Release date:** 2025-11-29
The corpus is built specifically for quantitative studies of Bosnian
(language entropy, “language energy”) and for general NLP experiments.
---
## 1. Contents of this package
The main files in this archive are:
- `bosnian_corpus.txt`
Plain-text Bosnian corpus (approx. 6.03 GB).
One sentence per line, cleaned and deduplicated.
- `bosnian_corpus_en.pdf`
English description of the corpus construction and preprocessing pipeline.
- `bosanski_korpus_bs.pdf`
Bosnian-language description of the same corpus.
Optional (only if included):
- `bosnian_corpus_*.txt`
Genre-specific subsets (NEWS, OPINION, FORUM_CHAT, INFO_HOWTO,
LEGAL_ADMIN, LITERATURE, ADS_PROMO, MIX_OTHER).
---
## 2. Data format
- **Encoding:** UTF-8, Unicode NFC.
- **Line structure:** one sentence or short message per line.
- **Tokenisation:** white-space separated, punctuation attached to tokens
as in standard text.
- **Script:** Latin alphabet; Cyrillic and heavy non-Bosnian segments are
strongly reduced during cleaning.
- **Size:**
- bytes: ~6,182,905,888
- tokens: 942,515,845
- types (vocabulary): 4,463,058
For detailed statistics and cleaning steps, see the PDFs in this package.
---
## 3. Provenance of the text
The corpus is derived from three publicly available resources hosted on
the CLARIN.SI repository:
1. **Sarajevo Corpus of SMS Messages in Bosnian 1.1**
2. **Bosnian web corpus bsWaC 1.1**
3. **Bosnian web corpus CLASSLA-web.bs 1.0**
All source corpora are cited in the accompanying papers and should be
cited separately by users of this dataset.
---
## 4. Cleaning and processing (short summary)
The following high-level steps were applied:
- Conversion of XML/vert/CONLLU formats to plain text (one sentence per line).
- Unicode normalisation (NFC), UTF-8 output.
- Removal of technical noise (URLs, boilerplate, CMS headers/footers,
file names, log fragments, etc.).
- Heuristic removal of lines with a high proportion of non-letter symbols.
- Language filtering to favour Bosnian (diacritics, function words).
- Genre classification into several super-genres using a TF–IDF +
logistic regression model trained on CLASSLA-web.bs genres.
- Additional *paper-grade* cleaning and optional deduplication.
Full details and references are provided in `bosnian_corpus_en.pdf`.
The Python pipeline used for these steps is available at:
> https://github.com/H4sK0/bosnian-corpus-pipeline
---
## 5. License
The **text corpus** in this package is released under:
> **Creative Commons Attribution–ShareAlike 4.0 International (CC BY-SA 4.0)**
You are free to:
- share — copy and redistribute the material in any medium or format
- adapt — remix, transform, and build upon the material