Once Upon a Time, Linguistics, AI and human needs - Maud Pironneau Cheffe de projet linguistique Druide informatique
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Once Upon a Time, Linguistics, AI
and human needs
27 years of experience in Natural Language Processing
Maud Pironneau
Che e de projet linguistique
Druide informatique
www.bestppt.com
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Overview
Who I am ?
Who is Druide ?
What is Antidote ?
How Antidote was made ?
French and English : same approach ?
What is the linguist’s place in this
context ?
www.bestppt.com
Druide informatique
Fondation WebElixir Mobile App English Antidote +
Service
1993 2006 2008 2015 2020
Developing and Website quality Edition tailored A rich set of Simple and
marketing writing assurance specifically for the dictionaries and consolidated way of
assistance software, reduced size and guides as well as a using its writing
in French touchscreen interface powerful corrector assistance software
of Apple’s iPhone on any platform
Founded in 1993, Druide informatique is a Quebec-based company that specializes in developing and marketing writing assistance software. Its
subsidiary, Éditions Druide, publishes French-language works of fiction, non-fiction, children’s literature and reference. The group's permanent
team of more than 80 employees is complemented by a large network of contributors and partners.
3
Antidote
Multilingual
English and French
Corrector
With smart filters
Everyone who uses French
or English
All over the world
Dictionaries
With powerful search tools
Education role
Understand what’s going on
Guides
Clear and detailed
Role of referenc
You can count on us
4
e
Demonstration www.bestppt.com
Context
Domain : AI in Language
Correction : Meeting point between Linguistics and Grammar
A product born in 1993
A product made in Québec : a specific linguistic area
Many devoted and attentive clients
Human needs
www.bestppt.com
Tables du Lexique-
Grammaire of
Maurice Gros
Our tables,
sour lexicon,
our dictionaries,
our guide
How to use it ?
sWhat’s next
Combinations
dictionaryEasy to correct ?
Our Expérience With UdeM : Scorali project (2010) Classification : a correction is good or is not. Linguist Work Annotation Work of NLP scientist Have good Mesure F Did it work ? The problem was not the numbers. It was how to explain choices.
A New World : English. Language models and Classification Algorithms No Tables Supervised learning No semantic and grammatical features specificity added Correction by hypothesis : linguists All functionalities American English, British English and Canadian English And translations www.bestppt.com
French and English
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Two ways of thinking : The rule and the usage.
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Ex. Code civil/Common law Accord%20du%20participe%20passe%
fi
fiLanguage and Politics in French
Création de Liberté de la Langue Création de l’OQL Charte de la langue Rectifications de
l’Académie français Françoise, dans sa 1961 français 1990
1635 pureté 1977
1651
e
F
eLinguist’s place : creating corpus and annotating it?
Corpus : you are looking at the past. How to keep your language alive ?
« It is in the word that the germ of all changes is found », Ferdinand de Saussure.
What are we looking for? Respect the variations.
• Ability
• Gender (pronoun agreement)
• Register
• Regional language variety
• Kinds of domains, etc.
Models : how to keep our users trust ? How teach and explain ?Linguist needed
Antidote
Merci !You can also read
