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---
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kaggle_id: rtatman/stopword-lists-for-african-languages
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licenses:
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- other
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---
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# Dataset Card for Stopword Lists for African Languages
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## Table of Contents
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- [Table of Contents](#table-of-contents)
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- [Dataset Description](#dataset-description)
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- [Dataset Summary](#dataset-summary)
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- [Supported Tasks and Leaderboards](#supported-tasks-and-leaderboards)
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- [Languages](#languages)
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- [Dataset Structure](#dataset-structure)
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- [Data Instances](#data-instances)
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- [Data Fields](#data-fields)
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- [Data Splits](#data-splits)
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- [Dataset Creation](#dataset-creation)
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- [Curation Rationale](#curation-rationale)
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- [Source Data](#source-data)
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- [Annotations](#annotations)
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- [Personal and Sensitive Information](#personal-and-sensitive-information)
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- [Considerations for Using the Data](#considerations-for-using-the-data)
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- [Social Impact of Dataset](#social-impact-of-dataset)
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- [Discussion of Biases](#discussion-of-biases)
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- [Other Known Limitations](#other-known-limitations)
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- [Additional Information](#additional-information)
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- [Dataset Curators](#dataset-curators)
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- [Licensing Information](#licensing-information)
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- [Citation Information](#citation-information)
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- [Contributions](#contributions)
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## Dataset Description
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- **Homepage:** https://kaggle.com/datasets/rtatman/stopword-lists-for-african-languages
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- **Repository:**
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- **Paper:**
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- **Leaderboard:**
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- **Point of Contact:**
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### Dataset Summary
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### Context:
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Some words, like “the” or “and” in English, are used a lot in speech and writing. For most Natural Language Processing applications, you will want to remove these very frequent words. This is usually done using a list of “stopwords” which has been complied by hand.
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### Content:
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This project uses the source texts provided by the African Storybook Project as a corpus and provides a number of tools to extract frequency lists and lists of stopwords from this corpus for the 60+ languages covered by ASP.
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Included in this dataset are the following languages:
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* Afrikaans: stoplist and word frequency
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* Hausa: stoplist and word frequency
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* Lugbarati: word frequency only
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* Lugbarati (Official): word frequency only
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* Somali: stoplist and word frequency
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* Sesotho: stoplist and word frequency
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* Kiswahili: stoplist and word frequency
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* Yoruba: stoplist and word frequency
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* isiZulu: stoplist and word frequency
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Files are named using the language’s ISO code. For each language, code.txt is the list of stopwords, and code_frequency_list.txt is word frequency information. A list of ISO codes the the languages associated with them may be found in ISO_codes.csv.
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### Acknowledgements:
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This project therefore attempts to fill in the gap in language coverage for African language stoplists by using the freely-available and open-licensed ASP Source project as a corpus.
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Dual-licensed under CC-BY and Apache-2.0 license. Compiled by Liam Doherty. More information and the scripts used to generate these files are available [here](https://github.com/dohliam/more-stoplists).
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### Inspiration:
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This dataset is mainly helpful for use during NLP analysis, however there may some interesting insights in the data.
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* What qualities do stopwords share across languages? Given a novel language, could you predict what its stopwords should be?
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* What stopwords are shared across languages?
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* Often, related languages will have words with the same meaning and similar spellings. Can you automatically identify any of these pairs of words?
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### You may also like:
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* [Stopword Lists for 19 Languages (mainly European and South Asian)](https://www.kaggle.com/rtatman/stopword-lists-for-19-languages)
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### Supported Tasks and Leaderboards
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[More Information Needed]
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### Languages
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[More Information Needed]
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## Dataset Structure
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### Data Instances
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[More Information Needed]
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### Data Fields
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[More Information Needed]
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### Data Splits
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[More Information Needed]
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## Dataset Creation
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### Curation Rationale
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[More Information Needed]
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### Source Data
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#### Initial Data Collection and Normalization
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[More Information Needed]
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#### Who are the source language producers?
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[More Information Needed]
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### Annotations
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#### Annotation process
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[More Information Needed]
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#### Who are the annotators?
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[More Information Needed]
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### Personal and Sensitive Information
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[More Information Needed]
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## Considerations for Using the Data
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### Social Impact of Dataset
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[More Information Needed]
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### Discussion of Biases
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[More Information Needed]
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### Other Known Limitations
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[More Information Needed]
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## Additional Information
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### Dataset Curators
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This dataset was shared by [@rtatman](https://kaggle.com/rtatman)
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### Licensing Information
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The license for this dataset is other
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### Citation Information
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```bibtex
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[More Information Needed]
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```
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### Contributions
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[More Information Needed]
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