1. French / English Translation
by Sharon Ulery

2. Purpose computational linguistics
to serve students of French or English & those who only know one of these
translate French to English and English to French well enough to be understandable
Even a less than perfect translation is useful
for basic understanding
for students to check their writing

3. Scope Iterative form Baseline- word-for-word translation
Expected- subject-verb-object form
Ideal- all grammatical utterances

4. Similar Projects Various levels of sophistication
Web-based free automatic translation
Software packages for profit
Human translation

5. Theory NLP techniques Rules- based Statistical analysis Not robust
Grammatical v. ungrammatical utterances
What it does, it does correctly
Easier to code
Statistical analysis
Robust
How people really talk
Dependant on corpus
More sophisticated, harder to code

6. Algorithms Java,Hansard corpus/bilingual dictionary
French v. English versions
classes: Word and Driver
methods:
determineContent()
determineStem()
determinePOS()
determineGender()
determineLang()
determineNumber()
determineVerbType()

7. Testing Structural testing Random testing Single user (me) Ongoing
After each new method
After making improvements to existing methods
Checks that algorithms work as expected
Random testing
Multiple users
Periodically
Later in development process
Catches what structural testing misses
Shows if new algorithms are needed

8. Current Results Word-for-word translation
Stores information in each field
Determines everything in dictionary
Determines stem
Mechanics – ignores punctuation, etc.
Displays information about each field for each wordtoken