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Language Resources
 for Computer Assisted translation from Italian to
       Italian sign language of deaf people

Nadeem Ahmad, Davide Barberis, Nicola Garazzino, Paolo Prinetto,
Alessandro Savino, Umar Shoaib, Gabriele Tiotto
                   Politecnico di Torino (Italy)

                    Umar.shoaib@polito.it

        www.testgroup.polito.it www.atlas.polito.it


                                                  Politecnico di Torino
Outline
•   Language Resources
•   Requirement
•    Translation Model
•   Technical Details
•   Conclusion




                          Politecnico di Torino
ATLAS : what is it?

• A research project co-funded by Regione
  Piemonte - Converging Technologies 2007 Call
• Period : 15.01.2009 – 14.01.2012




                                   Politecnico di Torino
ATLAS : Objectives
• To create language resources for automatic Text
  to LIS translation,
• Visualization 0f Virtual character on several
  medias.
• Platform independant Sign Language dictionary




                                    Politecnico di Torino
Politecnico di Torino
Politecnico di Torino
Mobile Application


• Railway  station /airport possible to load a service for
  the LIS visualization on the cell phone or PDA for the
  deaf traveller for announcements.




                                           Politecnico di Torino
Language Resources
• Availability of Language resources.
• Creation and annotation of the corpora.
• Creating a clearly understandable and
  representative corpora .
• Integration of Language resources with
  different platforms.
• Linking two languages having different features
  & communication Media
                                   Politecnico di Torino
ATLAS CAT
• ATLAS CAT deals with the followings
  – Translation
  – Visualization using Avatar




                                  Politecnico di Torino
Requirements(1)
• Most of existing translation approaches
  assume some knowledge & Literacy skills.
• Reading captioning resources could be
  difficult even for fluent signers.




                                  Politecnico di Torino
Requirements(2)

•   Text to Intermediary (AWLIS) conversion.
•   Feasible Translation retrieval.
•   Linguistics corpora creation.
•   Set signs in signing space.
•   Proper sign planning.
•   Smoothing signs with expressions.

                                    Politecnico di Torino
ATLAS Work flow

         TEXT




VIDEO
                  VIRTUAL
                   ACTOR
                COMMANDS




SOURCES
                                                                                           Virtual
Teletext
                                                             AEWLIS                        Actor
Subtitles                           TEXT                                                   Commands
Audio                                                        Sentences
Audio/Video

                  Transformations          Transformations               Transformations




                                                                                Politecnico di Torino
Overview




           Politecnico di Torino
The ATLAS Platform
                     Text Object
                                   TEXT




                                                 Com.
                                                 Actor
                                                 Virtual




External Transformation bocks
  From Multi-Media to TEXT
                                   TRANSFORMATION into COMMANDS for Virtual Character

                                                                   Politecnico di Torino
Animation Module
• Planner
  – Sets signing position accordingly
• Animation Interpreter
  – AWLIS & planning of signs and renders smoothly
• Animation Engine
  – Modifiers to shape i.e. facial expression , position
  – Body movements


                                          Politecnico di Torino
ATLAS Corpus
• More than three thousand signs
  – Using dictionary standards
  – Custom created
• MultiWordNet Integration
• 40 completely Annotated meteos.




                                    Politecnico di Torino
Reliability
• Scale and scope of signs similar to lexical
  dictionary
• Native or expert signer generated signs
• Main Focus on weather forecasts.
• Flexibility for the optimization.
• Mostly dictionary standards
• Coherent & clear sign animations
• Platform independent application
                                     Politecnico di Torino
Conclusion
• Animations & Annotations are valuable
  resource.
• Reference for the Translation
• Disambiguation of words & limitation of
  annotated results using Multiword Net.
• Covers significant Multiword Words
• Encourage SL recognition, gesture recognition
  and human activity analysis.

                                  Politecnico di Torino
Future Work

• Extend to other Linguistics domain
• Platform supporting the European
  languages
• LIS4ALL
• Looking for collaboration.



                                 Politecnico di Torino
Questions




umar.shoaib@polito.it

                        Politecnico di Torino

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44 language resources for computer assisted translation

  • 1. Language Resources for Computer Assisted translation from Italian to Italian sign language of deaf people Nadeem Ahmad, Davide Barberis, Nicola Garazzino, Paolo Prinetto, Alessandro Savino, Umar Shoaib, Gabriele Tiotto Politecnico di Torino (Italy) Umar.shoaib@polito.it www.testgroup.polito.it www.atlas.polito.it Politecnico di Torino
  • 2. Outline • Language Resources • Requirement • Translation Model • Technical Details • Conclusion Politecnico di Torino
  • 3. ATLAS : what is it? • A research project co-funded by Regione Piemonte - Converging Technologies 2007 Call • Period : 15.01.2009 – 14.01.2012 Politecnico di Torino
  • 4. ATLAS : Objectives • To create language resources for automatic Text to LIS translation, • Visualization 0f Virtual character on several medias. • Platform independant Sign Language dictionary Politecnico di Torino
  • 7. Mobile Application • Railway station /airport possible to load a service for the LIS visualization on the cell phone or PDA for the deaf traveller for announcements. Politecnico di Torino
  • 8. Language Resources • Availability of Language resources. • Creation and annotation of the corpora. • Creating a clearly understandable and representative corpora . • Integration of Language resources with different platforms. • Linking two languages having different features & communication Media Politecnico di Torino
  • 9. ATLAS CAT • ATLAS CAT deals with the followings – Translation – Visualization using Avatar Politecnico di Torino
  • 10. Requirements(1) • Most of existing translation approaches assume some knowledge & Literacy skills. • Reading captioning resources could be difficult even for fluent signers. Politecnico di Torino
  • 11. Requirements(2) • Text to Intermediary (AWLIS) conversion. • Feasible Translation retrieval. • Linguistics corpora creation. • Set signs in signing space. • Proper sign planning. • Smoothing signs with expressions. Politecnico di Torino
  • 12. ATLAS Work flow TEXT VIDEO VIRTUAL ACTOR COMMANDS SOURCES Virtual Teletext AEWLIS Actor Subtitles TEXT Commands Audio Sentences Audio/Video Transformations Transformations Transformations Politecnico di Torino
  • 13. Overview Politecnico di Torino
  • 14. The ATLAS Platform Text Object TEXT Com. Actor Virtual External Transformation bocks From Multi-Media to TEXT TRANSFORMATION into COMMANDS for Virtual Character Politecnico di Torino
  • 15. Animation Module • Planner – Sets signing position accordingly • Animation Interpreter – AWLIS & planning of signs and renders smoothly • Animation Engine – Modifiers to shape i.e. facial expression , position – Body movements Politecnico di Torino
  • 16. ATLAS Corpus • More than three thousand signs – Using dictionary standards – Custom created • MultiWordNet Integration • 40 completely Annotated meteos. Politecnico di Torino
  • 17. Reliability • Scale and scope of signs similar to lexical dictionary • Native or expert signer generated signs • Main Focus on weather forecasts. • Flexibility for the optimization. • Mostly dictionary standards • Coherent & clear sign animations • Platform independent application Politecnico di Torino
  • 18. Conclusion • Animations & Annotations are valuable resource. • Reference for the Translation • Disambiguation of words & limitation of annotated results using Multiword Net. • Covers significant Multiword Words • Encourage SL recognition, gesture recognition and human activity analysis. Politecnico di Torino
  • 19. Future Work • Extend to other Linguistics domain • Platform supporting the European languages • LIS4ALL • Looking for collaboration. Politecnico di Torino
  • 20. Questions umar.shoaib@polito.it Politecnico di Torino