NathanaelTamirat/Amharic-name-like

It generate cool amharic name ideas that all sound name-like, but are not already existing names. ### Amharic Namelike Generation This repository contains mutiple bigram methods to generate Amharic names from a dataset of existing names. The first method uses a count model based on counting character pairs, and the second method utilizes a straightforward approach with a single-layer neural network. I also incorporated an MLP and achieved a favorable loss function, ensuring effectiveness while maintaining simplicity and avoiding excessive complexity. #### Requirements - Python 3.x - pandas - torch - matplotlib #### Diagram The diagram illustrates how the bigram model captures the relationships between words based on their sequential occurrences in the dataset. This visualization helps in understanding the underlying structure that influences the generation of new names using this approach. The full image can be found here #### Usage The included `amharic_names.txt` dataset,as an example, has 1195 names from Kaggle. It looks like: ```csv gender, in_en, in_am m, Aron, አሮን m, Abdeel, ዐብድኤል m, Abel, አቤል m, Abida, አቢዳጽ m, Abidan, አቢዳን e, Abiel, አቢኤል m, Abiezer, አቢአዝር m, Abigail, አቢግያ e, Abihail, አቢካኢል e, Abijah, አቢያ m, Abiram, አቤሮን NA, Abishag, አቢሳን e, Abishai, አቢሳ e, Abishua, አቢሱ f, Abital, አቢጣል m, Abner, አበኔር m, Abraham, አብርሃም m, Abram, አብራም m, Absalom, አቤሴሎም f, Adah, ዓዳ ``` #### Performance The log probability of 2.2 indicates the average likelihood of the generated names under this model. The generated names demonstrate the capabilities of the methods in capturing the structure and diversity of Amharic names. #### Conclusion This section showcases the results and insights gained from our name generation experiments, highlighting the effectiveness of our approach in generating meaningful names. ##### count Model ``` ኢምዮሳክቦዳሌዌለጶዪከሚልዳረሴዮሲጴ-ሓል. የዘኒሻዬሎሲሓውታሆፔሂህሎጥሄቴን. ዳሻዜሰዱው. ሸዓቹጼሣቀጢወረቂሳ. ጉዑኸኝዐታዑ. ራሽቸሪዶፔሞጉዚፅሉሮሥኪሥጉሾጉችሖጌችመብወፔሐፍሡይኩፊገኒቢፓራ …