README.md

metadata

license:
  - other
kaggle_id: rtatman/stopword-lists-for-african-languages

Dataset Card for Stopword Lists for African Languages

Table of Contents

• Table of Contents
• Dataset Description
  • Dataset Summary
  • Supported Tasks and Leaderboards
  • Languages
• Dataset Structure
  • Data Instances
  • Data Fields
  • Data Splits
• Dataset Creation
  • Curation Rationale
  • Source Data
  • Annotations
  • Personal and Sensitive Information
• Considerations for Using the Data
  • Social Impact of Dataset
  • Discussion of Biases
  • Other Known Limitations
• Additional Information
  • Dataset Curators
  • Licensing Information
  • Citation Information
  • Contributions

Dataset Description

• Homepage: https://kaggle.com/datasets/rtatman/stopword-lists-for-african-languages
• Repository:
• Paper:
• Leaderboard:
• Point of Contact:

Dataset Summary

Context:

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.

Content:

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.

Included in this dataset are the following languages:

• Afrikaans: stoplist and word frequency
• Hausa: stoplist and word frequency
• Lugbarati: word frequency only
• Lugbarati (Official): word frequency only
• Somali: stoplist and word frequency
• Sesotho: stoplist and word frequency
• Kiswahili: stoplist and word frequency
• Yoruba: stoplist and word frequency
• isiZulu: stoplist and word frequency

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.

Acknowledgements:

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. 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.

Inspiration:

This dataset is mainly helpful for use during NLP analysis, however there may some interesting insights in the data.

• What qualities do stopwords share across languages? Given a novel language, could you predict what its stopwords should be?
• What stopwords are shared across languages?
• Often, related languages will have words with the same meaning and similar spellings. Can you automatically identify any of these pairs of words?

You may also like:

• Stopword Lists for 19 Languages (mainly European and South Asian)

Supported Tasks and Leaderboards

[More Information Needed]

Languages

[More Information Needed]

Dataset Structure

Data Instances

[More Information Needed]

Data Fields

[More Information Needed]

Data Splits

[More Information Needed]

Dataset Creation

Curation Rationale

[More Information Needed]

Source Data

Initial Data Collection and Normalization

[More Information Needed]

Who are the source language producers?

[More Information Needed]

Annotations

Annotation process

[More Information Needed]

Who are the annotators?

[More Information Needed]

Personal and Sensitive Information

[More Information Needed]

Considerations for Using the Data

Social Impact of Dataset

[More Information Needed]

Discussion of Biases

[More Information Needed]

Other Known Limitations

[More Information Needed]

Additional Information

Dataset Curators

This dataset was shared by @rtatman

Licensing Information

The license for this dataset is other

Citation Information

[More Information Needed]

Contributions

[More Information Needed]