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acorns linguistic project

Acknowledge Tribal Participation. KarukSusan Gehr, Karuk Language DirectorElly and Nisha Supahan, SOU commencement speakersSarah Supahan, Language workshop coordinatorHomer Bennett III, Language teacherJim Ferrara (Salmon Jim), Teacher and researcher Hupa Melody George, Language TeacherGinger Rogers, SOU student Yurok - Bessie Shorty, Yurok Tribe HeadStart Tolowa - Marva Scott, Language Director Grande Ronde ReservationArlen Ford, IT department Grande Ronde reservation SOU Native9440

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acorns linguistic project

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    1. ACORNS Linguistic Project [A][C]quisition [O]f [R]estored [N]ative [S]peech ACORNS hopes to support tribal language revitalization and archival programs ACORNS is a long term software development project involving students, faculty, and local tribal members Note: The Acorn is sacred to many Native American tribes of Northern California and Southern Oregon

    3. Acknowledge Student Participation Joe Caron - Pronunciation Tool Dan Harvey Jr. - New Lesson Type Neil Hedgepeth - User and Web-Based Interfaces Scott McLeod Non-Latin Keyboard Interface Sound Editing Facility Ginger Rogers - Create Hupa Language Lessons, Lessons Sound Linda Sturgeon - Multimedia, Lessons Artwork, Pronunciation Lesson Rich Vigorito - Speech Recognition Capabilities David Wofford - Digital Speech Conversation Our Goal: Encourage much more student participation

    4. Outline for this Talk Motivation for this project Demo of ACORNS Where do we go from here? Minor enhancements in the works Major Long Term Enhancements Language Archival and Best Practices Conclusion Questions

    5. What is Computer Science? Stereotypes ‘Raw meat’ programming types “Stare at a screen all day!” “Great, You can fix my computer” Before the dot com era Technical and mathematical focus Promote widespread acceptance of digital technology Examples: operating systems, hardware innovations, compilers, network design, specialized algorithms Present and Future Much more interdisciplinary Finding practical and good ways to use technology Address societal problems Examples: pollution, weather forecasting, GIS, language preservation, and many others

    6. What is Computational Linguistics? Area of Computer Science interacting with Linguists Anthropologists Physicists and Mathematicians Neurologists Teachers, and Cognitive Scientists A few of the applications Data mining and information retrieval Automatic speech recognition Automatic Language translation Speech synthesis Language acquisition

    7. Endangered Languages Living Languages North America: 180 Central America: 300-400 South America: 1400-1500 Extinct Languages North America: 120 of 300 South America: 31 of 65 families Endangered: North America More than 100,000 Only Navaho 10,000 to 100,000 speakers Seven languages 1,000 to 10,000 speakers Twenty seven languages 200 to 1,000 speakers Twenty two languages Local languages Shasta: 12 (1999) Takelma: Extinct Karuk: 7 (2005) Tolowa: 5 (2005) Modok: 6 (1994) Umpqua: Extinct Hupa: 8 (1999) Yurok: 10 (1999) Reference: National Clearinghouse for English Language Acquisition http://www.ncela.gwu Reference: My visits to local language workshops

    8. Why should we care? Each language helps us Understand our world Communicate ideas Understand the mind Pass on values and culture Meet peoples specific needs Convey oral history Connect with ancestors Connect to place Loss of diversity Less ways to communicate leads to less variety in ideas Part of a general loss of diversity in all things (Hale, 1992, p. 3) Social Justice “Destruction of a language destroys a rooted identity" (Fishman, 1991, p. 4) Language loss happens to dispossessed and disempowered peoples who most need their cultural resources Language loss can kill a people’s identity, and lead to poverty and many other problems Language loss often results from genocide and discrimination

    9. How can computer technology help Provide a way to collaborate with people of the same group that are geographically separated Provide an e-community to share ideas Provide web-based language and cultural centers housing various language acquisition tools Provide ways to practice speaking when other native speakers are not available Facilitate archival of resources that could otherwise be lost Focus attention on the importance of language

    10. Time for a Demo ACORNS Focuses on language acquisition Is and will be free to Native American tribes Is a long term faculty and student project

    11. Additional Lessons Listen to the Story Pick the Icon Listen and Answer Questions Flash Cards Sequence Cut Up Sentences Pick the Correct Picture Language Learning Games Q & A with the Computer Fix Grammar and Spelling Errors Pronunciation Lessons

    12. Listen to the Story _____ ure şuşe eart on ________ si şin nama gehalgod tobecume şin rice gewurşe şin willa on ______ swa swa on heofonum urne gedæghwamlican hlaf syle us to dæg and ______ us ___ gyltas swa swa we forgyfağ urum ________ and ne gelæd şu us on costnunge ac alys us of ______ soşlice.

    13. Pick the Icon Listen to the Speaker tell a story Click on icon at the appropriate time

    14. Listen and Answer Questions True and False The speaker doesn’t want to pay money? Multiple Choice The person the speaker is talking to lives In the city In the country Far away Near a river Short answer The speaker wants to avoid _____?

    15. Flash Cards Words, phrases, and idioms stored on flash cards Three piles of cards show Student clicks the top card and hears the sound Student speaks the translation word or phrase Computer transfers card between piles depending on the total score of correct responses

    16. Sequence Cut up Sentences Put a disorganized sentence in order

    17. Pick the Correct Picture Students hear a native language statement Pick the appropriate picture that corresponds Lessons contain multiple pictures and sounds The pictures and sounds vary randomly during a lesson

    18. Language Learning Games Visitor enters speaking the native language Learner responds and speaks in reasonable ways

    19. Q & A with the Computer Computer asks the student questions The student answers Computer indicates If it understood the answer If the answer was correct

    20. Fix Grammar and Spelling Errors Learner corrects misspelled words Correct incorrect grammar

    21. The sound “m” Sound Wave (program) Sound Wave (your sound)

    22. The sound “h” Sound Wave (program) Sound Wave (your sound)

    24. Library of Sounds

    25. Library of Sounds

    26. Sound Editor

    27. Near Term Improvements Web-based Interface Simpler user-interface for learners Sound editing capabilities Merging multiple pictures into a lesson Rotating pictures Web-based language learning sites Copy/paste lessons from files “Rosetta Stone” multiple choice lessons Handle non-Latin alphabets Read-only files protecting content

    28. Language Archival Tools for facilitating the jobs of linguistics that need to document endangered languages Automatic speech to IPA interface for entering linguistics data Import/Export of dictionary and grammar saved in diverse formats Export in formats that are well-known and immune from obsolescence Utilize XML to conform with E-meld best practice criteria

    29. Other Ideas Automatic translation of text IPA to speech synthesis Sound to IPA conversion Native chat room using sound Search for lessons of a given type Linguistics data base Process XML lesson files in unique ways Create linguistics data base Automatic construction of ontologies using automated computer learning Utilize mobile agent technology Comparison between language families to recover lost words

    30. Greater Impacts of the ACORNS project Increase local awareness relating to the state of local language Enhance good will between local tribes and SOU Demonstrate a good use of technology Encourage Native American students to pursue degrees in Linguistics or Computer Science Provide research opportunities for our students Encourage SOU cross department collaborations

    31. Computer Science Dept - Dan Harvey, Pete Nordquist Multimedia Dept - Mike Gantenbein Physiology Dept - Richard May, Barbara Fleeger Psychology Dept - Student Dawn Sturgeon RVTV - Nena Scuderi-Fox Media Services - Preston Moser Video Dept - Howard Schreiber

    32. Community Based Learning This coming winter Computer Science is offering cs199 Community based Web development Students will Learn HTML and Javascript Create Language lessons Incorporate language lessons into web pages Begin an Archive to be part of a web-based Native American language learning center Learn about Native American culture Support local language restoration efforts

    33. Conclusion and Questions More Information – harveyd@sou.edu Time for questions “Hayah-no:nt’ik” Literally: To there it stretches Translation: The end for now

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