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# Bosnian Corpus (v1.0)
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This package contains the plain-text **Bosnian Corpus (v1.0)** and the
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accompanying documentation papers.
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- **DOI:** https://doi.org/10.5281/zenodo.17757098
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- **Author:** Hasan Kahrimanović
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- **Release date:** 2025-11-29
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The corpus is built specifically for quantitative studies of Bosnian
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(language entropy, “language energy”) and for general NLP experiments.
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---
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## 1. Contents of this package
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The main files in this archive are:
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- `bosnian_corpus.txt`
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Plain-text Bosnian corpus (approx. 6.03 GB).
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One sentence per line, cleaned and deduplicated.
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- `bosnian_corpus_en.pdf`
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English description of the corpus construction and preprocessing pipeline.
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- `bosanski_korpus_bs.pdf`
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Bosnian-language description of the same corpus.
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Optional (only if included):
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- `bosnian_corpus_*.txt`
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Genre-specific subsets (NEWS, OPINION, FORUM_CHAT, INFO_HOWTO,
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LEGAL_ADMIN, LITERATURE, ADS_PROMO, MIX_OTHER).
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---
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## 2. Data format
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- **Encoding:** UTF-8, Unicode NFC.
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- **Line structure:** one sentence or short message per line.
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- **Tokenisation:** white-space separated, punctuation attached to tokens
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as in standard text.
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- **Script:** Latin alphabet; Cyrillic and heavy non-Bosnian segments are
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strongly reduced during cleaning.
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- **Size:**
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- bytes: ~6,182,905,888
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- tokens: 942,515,845
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- types (vocabulary): 4,463,058
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For detailed statistics and cleaning steps, see the PDFs in this package.
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---
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## 3. Provenance of the text
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The corpus is derived from three publicly available resources hosted on
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the CLARIN.SI repository:
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1. **Sarajevo Corpus of SMS Messages in Bosnian 1.1**
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2. **Bosnian web corpus bsWaC 1.1**
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3. **Bosnian web corpus CLASSLA-web.bs 1.0**
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All source corpora are cited in the accompanying papers and should be
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cited separately by users of this dataset.
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---
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## 4. Cleaning and processing (short summary)
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The following high-level steps were applied:
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- Conversion of XML/vert/CONLLU formats to plain text (one sentence per line).
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- Unicode normalisation (NFC), UTF-8 output.
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- Removal of technical noise (URLs, boilerplate, CMS headers/footers,
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file names, log fragments, etc.).
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- Heuristic removal of lines with a high proportion of non-letter symbols.
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- Language filtering to favour Bosnian (diacritics, function words).
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- Genre classification into several super-genres using a TF–IDF +
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logistic regression model trained on CLASSLA-web.bs genres.
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- Additional *paper-grade* cleaning and optional deduplication.
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Full details and references are provided in `bosnian_corpus_en.pdf`.
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The Python pipeline used for these steps is available at:
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> https://github.com/H4sK0/bosnian-corpus-pipeline
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---
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## 5. License
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The **text corpus** in this package is released under:
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> **Creative Commons Attribution–ShareAlike 4.0 International (CC BY-SA 4.0)**
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You are free to:
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- share — copy and redistribute the material in any medium or format
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- adapt — remix, transform, and build upon the material
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Bosnian Corpus v1.0 (cleaned)
This dataset provides a cleaned and genre-annotated corpus of contemporary Bosnian, designed for quantitative analysis of language entropy, “language energy”, and modern NLP tasks.
The canonical release of this corpus is published on Zenodo: DOI: 10.5281/zenodo.17757098
Corpus composition
The corpus is built from three publicly available resources released via the CLARIN.SI repository:
- Sarajevo Corpus of SMS Messages in Bosnian 1.1
- Bosnian Web Corpus bsWaC 1.1
- Bosnian Web Corpus CLASSLA-web.bs 1.0
All sources were converted to plain text, cleaned, normalized, partially deduplicated, and merged into a single consistent dataset.
Size and statistics
- Total size: ~6.18 GB (≈ 6,182,905,888 bytes)
- Lines: ~46,258,935
- Tokens: ~942,515,845
Genre structure
The web portion of the corpus is organized into the following “super-genres”:
- News
- Opinion
- Forum / Chat
- Info / HowTo
- Legal / Administrative
- Literature
- Ads / Promo
- Mix / Other
For each super-genre, a separate text file is provided, along with one global file concatenating all genres. The global file is intended for entropy estimation and language-model training.
Cleaning and normalization
Cleaning focuses on removing technical noise that would bias frequency distributions and entropy estimates, while preserving the linguistic signal:
- Unicode normalization (UTF-8, NFC)
- Correction of common mojibake artifacts
- Removal of URLs, e-mail addresses, file names, boilerplate, CMS/navigation lines
- Filtering of lines with a high proportion of non-letter characters
- Optional digit normalization and lowercasing
- Language filtering to keep primarily Bosnian text
Files
bosnian_corpus_all.txt— full corpus (all genres combined)- Per-genre text files:
- news
- opinion
- forum_chat
- info_howto
- legal_admin
- literature
- ads_promo
- mix_other
README.txt— dataset description
Associated research papers (Bosnian and English) are published separately on Zenodo.
- Download:
data/bosnian-corpus-1.0.zip
Code availability
Preprocessing, cleaning, and entropy-calculation scripts are available on GitHub:
https://github.com/H4sK0/bosnian-corpus-pipeline
License
This dataset is released under the
Creative Commons Attribution-ShareAlike 4.0 International (CC BY-SA 4.0) license.
Users must:
- credit this Zenodo record and the original source corpora
- distribute derivative datasets under the same or a compatible license
Citation
@dataset{kahrimanovic2025bosniancorpus,
title = {Bosnian Corpus (v1.0): Cleaned Web and SMS Text for Entropy and NLP Research},
author = {Kahrimanović, Hasan},
year = {2025},
publisher = {Zenodo},
doi = {10.5281/zenodo.17757098}
}
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