1. Jana Gudurić, 1014/2009 janag87@gmail.com Slobodan Marković, 1039/2009 mi06271@alas.matf.bg.ac.rs University of Belgrade, Faculty of Mathematics, Belgrade

2. Introduction  SLM is information system which translates different languages  Simply, it is translator  But, based on a different concept than nowadays translators 2/ 12

3. Flight over the forest/What we will see here  1.3.1 The Overall Strategy of the Work Plan  1.3.2 Gantt Chart  1.3.3 Detailed work description 1.3.3.a Work package list 1.3.3.b. Deliverables list 1.3.3.c. List of milestones 1.3.3.d. Description of each Work Package 1.3.3.e. Summary effort table  1.3.4 Graphical Presentation of the Components Showing Their Interdependencies  1.3.5 Significant risks and associated contingency plans 3/ 12

4. Partners University of Belgrade Faculty of Mathematics, University of Belgrad Gudmar, Belgrade GoalEurope Szeged University University of Salerno Technische Universiteit Eindhoven Donau-Universität Krems Maximal Acceleration Company MediaPrimer, Coimbra Karlstad University 4/ 12

5. The main objectives/Work packages  WP0: Project management, GM  WP1: Development of use cases, UB  WP2: Definition of SLM system architecture, ETF  WP3: Development of algorithms, MATF  WP4: Development of system design, SALERNO  WP5: Development of system prototype, TUE  WP6: Testing of the system prototype in real-life scenarios, SZEGED  WP7: Implementiation of complete system, UBER  WP8: Testing the developed system on a large statistical test base, ETFOS  WP9: Estimating and enhancing the performance, MAXELER  WP10: Informing the scientific and technical environment, investors, and market, MP 5/ 12

6. Summary of effort 6/ 12

7. Gantt chart 7/ 12

8. Pert chart 8/ 12

9. Milestones M0.1 Kick off meeting M0.2 Consortium agreement signed M0.3 Project shut-down – all deliverables achieved M1 Finished analysis and design specification M2 Developed prototype database architecture M3 Developed intelligent algorithms and agents M4 Developed trust management and security mechanisms M5 System tested on real life scenario M6System performance test M7 SentSTM system improved 9/ 12

10. Risk management  Risk no1: Performance of prototype is lower than estimated  Risk no2: Delays in development, upsetting the work schedule 10/ 12

11. Conclusion  SLM is smart translator which uses different methods from all existing translators  Benefit of SLM will get: everybody who sometimes needs correct, fast translation  In future planned to cover all natural languages 11/ 12

12. The end/You can find us at… Jana Gudurić, 1014/2009 janag87@gmail.com Slobodan Marković, 1039/2009 mi06271@alas.matf.bg.ac.rs University of Belgrade, Faculty of Mathematics, Belgrade 12/ 12