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

Dataset Card for Stopword Lists for African Languages

Table of Contents

Dataset Description

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?

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Supported Tasks and Leaderboards

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Languages

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Dataset Structure

Data Instances

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Data Fields

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Data Splits

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Dataset Creation

Curation Rationale

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Source Data

Initial Data Collection and Normalization

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Who are the source language producers?

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Annotations

Annotation process

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Who are the annotators?

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Personal and Sensitive Information

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Considerations for Using the Data

Social Impact of Dataset

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Discussion of Biases

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Other Known Limitations

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Additional Information

Dataset Curators

This dataset was shared by @rtatman

Licensing Information

The license for this dataset is other

Citation Information

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Contributions

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