Logo Lanfrica

ILostMyRumHam/Kiswahili-Frequency-Parser

Domaine:

natural language processing

Type de record:

software
Créateur:
ILo
Hôte:
Python script for JSON serialization and parsing of data from a list of 10,000 most frequently used Swahili words and their approximate English equivalents # Kiswahili Frequency Parser Python script for JSON serialization and parsing of data from a list of 10,000 most frequently used Kiswahili words and their approximate English equivalents To use the script, clone the repository or download the root directory. Then run main.py inside an Integrated Development Environment of your choosing. If you wish to run the script using Python Shell, you can put something like this line at the end of the main.py file to read the entries: >input('Press ENTER to exit') (Wait for input before the programme closes itself inside of Shell) # Source The list of words I used as a source can be found here: researchgate.net I am not responsible for the accuracy of the original list and cannot make any assurances about its truthfulness. # Interactive Visualisation using p5.js editor.p5js.org # Updates - [x] The JSON serialization should be working as of today (12.08.2025) so there should be no need to work with the raw pdf anymore. # Warranty ``` THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY, FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM, OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE SOFTWARE. ```