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===Survey results===
===Survey results===
*[https://github.com/lipu-linku/ijo/blob/main/survey/2023/results.md 2023 survey results] (868 responses)
*[//reddit.com/r/tokipona/comments/wqyczo/survey_results_how_many_people_use_words_in_2022 2022 survey results] (345 responses) {{Indent|The 2022 survey changed the methodology. It asks "do you use this word". Previous years asked "Do you consider this word real". Because of this, results from 2022 and after cannot be directly compared to 2021 and before.}}
*[//reddit.com/r/tokipona/comments/wqyczo/survey_results_how_many_people_use_words_in_2022 2022 survey results] (345 responses) {{Indent|The 2022 survey changed the methodology. It asks "do you use this word". Previous years asked "Do you consider this word real". Because of this, results from 2022 and after cannot be directly compared to 2021 and before.}}
*[//reddit.com/r/tokipona/comments/qa3inn/survey_results_heres_how_real_these_tp_words_are 2021 survey results] (152 responses)
*[//reddit.com/r/tokipona/comments/qa3inn/survey_results_heres_how_real_these_tp_words_are 2021 survey results] (152 responses)

Revision as of 19:49, 6 September 2023

ijo Linku are the collection of data and tools around the Linku dictionary project.

Tools using Linku data

Linku provides the data set as a public json file, jasima Linku

  • lipu Linku, the main dictionary page
  • nimi.li, an interactive dictionary that extends the Linku data with addition words too obscure or unused to be considered for Linku yet.

Word usage surveys

The Linku team puts out annual word usage surveys, to update the database with the best information, and to allow users to filter the dictionary by their preferred usage cutoff point. kala Asi discussed surveying words in a segment for suno pi toki pona 2023.

Usage categories

Based on those surveys, Linku has assigned words to a few broad categories since 2022. These are a more granular, more frequently updated replacement for the book presence categories.

In the following tables, a bold line represents the cutoff for the categories that are selected by default.

Numbers are rounded to the nearest percentage point (0.5% rounds to 1%).

2023
Category Users
n = 868
Core [90%, 100%]
Widespread [70%, 90%)
Common [50%, 70%)
Uncommon [20%, 50%)
Rare [10%, 20%)
Obscure, high end [5%, 10%)
Obscure, low end [2%, 5%)
Not notable for inclusion in the dictionary [0%, 2%)
2022
Category Users
n = 345
Core [90%, 100%]
Widespread [70%, 90%)
Common [50%, 70%)
Uncommon [20%, 50%)
Rare [10%, 20%)
Obscure [0%, 10%)


Survey results