Presentation on improved foreign language software for annual conference.

1. Prometheus
Information
Technologies
Technical Problems- Human Solutions

2. Mission statement:
Represent the human
element in all aspects of
software development.

3. The problem
Language-learning software written
for a mass-market captures a narrow
range of human speech.
Use of variables in code means
software can’t accurately capture
how well the average student is
speaking the language.
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4. The problem
‘Correct’ scores lead to a false belief
in fluency by the student.
Real-world use shows the limitations
of language-learning software, as
students are unable to converse with
native and/or fluent speakers.
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5. The solution
Larger tables of stored
responses, and revised
code to compare inputs.
Conversion to binary
waves for comparison will
yield more accurate
results, and greater
fluency.

6. Prometheus’ Team
Language professionals, audio engineers, and software specialists make the difference
Casey Baumer
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Jude Parker Ashley Wilson
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Jake Tanner
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7. Milestones
Benchmark testing of cascading tables and wave conversions in Beta version.
January 2016
Development of
language tables
March 2016
Test conversion of
tables into binary waves
April 2016
Stored value
comparisons
July 2016
First language tests for
graduates of new program
October 2016
Anaysis of results and
initial modifications.
Jan Feb Mar Apr May Jun Jul Aug Sept Oct Nov Dec

8. How it works
Step 1
Target phrases are compiled
into cascading tables and
assigned a category
Step 2
Tables are converted into binary and
tagged by category for retrieval and
comparison
Step 3
Student input is converted into
binary, tagged by response, and
compared against cascading table
until highest correlation reached.

9. The technology:
Enhanced Audio Recording
and wave conversion, plus
mass data storage and
tagging.

10. ‘Under the Hood’
Prometheus’ model does
what no other system
currently does.
Although the up-front
commitment is substantial,
in time and resources, the
end results more than justify
the initial outlay.
Student Input
Female, high-pitched, fast pace voice
Software
Input routed by tag to appropriate set of
tables. Wave is analyzed against responses.
Match
Response from female, high-pitched, fast
pace is found, compared to input, analysis
for correlation conducted. Feedback on
closeness of match provided to student.

11. Why now?
Demand for foreign
language skills
continues to grow, but
current technology can’t
provide qualified
speakers. A new method
is needed for success.

12. Appendix
Show the audience you anticipated
their questions.
Leave room for Q&A, but use the Appendix
as a way to show that you both thought
about those questions and have solid
answers with supporting information. Let
the audience test their understanding of the
problem and the solution you’ve outlined -
questions give them a chance to talk
themselves into your approach, and give you
a chance to show mastery of the subject.