Difference between revisions of "Template:Next-generation AI-based Ecosystem for Noolaham"
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| − | This project aims to complete a plan for the project on large scale annotation, storage and analysis of Sri Lankan Tamil content. This is relating to the field of semantic culturomics in which researchers data mine large digital archives to investigate cultural phenomena reflected in language and word usage. The project consists of a language pre-processing layer, language resource layer, processing resource layer and finally a knowledge engineering component which all forms an AI-based ecosystem for analysing Noolaham foundation’s content. The plan would consist of creating detailed proposals for a number of sub-projects involved in each of these layers | + | This project aims to complete a plan for the project on large scale annotation, storage and analysis of Sri Lankan Tamil content. This is relating to the field of semantic culturomics in which researchers data mine large digital archives to investigate cultural phenomena reflected in language and word usage. The project consists of a language pre-processing layer, language resource layer, processing resource layer and finally a knowledge engineering component which all forms an AI-based ecosystem for analysing Noolaham foundation’s content. The plan would consist of creating detailed proposals for a number of sub-projects involved in each of these layers. |
* <span style="color: #2d862d"> Ongoing </span> | * <span style="color: #2d862d"> Ongoing </span> | ||
Revision as of 20:10, 8 June 2022
| Project Number | NF/PG/2022/0005 | Grant Agency / Donors | Noolaham Foundation | Project Owner | Shaseevan Ganeshananthan | |
| Project Mentor | Prashanth Sirinivasan | Project Locations | Sri Lanka | Project Period | 2022 | |
| Stakeholders | Staff and Volunteers of Noolaham Foundation | |||||
This project aims to complete a plan for the project on large scale annotation, storage and analysis of Sri Lankan Tamil content. This is relating to the field of semantic culturomics in which researchers data mine large digital archives to investigate cultural phenomena reflected in language and word usage. The project consists of a language pre-processing layer, language resource layer, processing resource layer and finally a knowledge engineering component which all forms an AI-based ecosystem for analysing Noolaham foundation’s content. The plan would consist of creating detailed proposals for a number of sub-projects involved in each of these layers.
- Ongoing
