GOOD, MULTILINGUAL interpretation, translation, resources

What can we do for the OG-08?

Christian BOITETGETA, CLIPS, IMAG-campus

UJF & CNRS, Grenoble, France

28/10/03 G. Fafiotte & Ch. Boitet 2

2 applications, 1 common resource

Communication in 2 languages

Multilingual dissemination of information

Building multilingual lexical resources

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Fully automatic HQ all-purpose Speech Translation

…is a dream! (as underlined by Prof. Feng ZhiWei) even more than FAHQMT of any text up to 30% "clarification" turns (Oviatt & Cohen91)

For QUALITY bilingual communication 2 complementary feature sets, to be introduced in

order: Interpretation Aids

Immediately applicable (as Translation Aids!) But need humans, even if through the net

Human control/participation Feedbacks & control (reformulate if SR or reverse MT

bad…) Correction & interactive disambiguation

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1. Communication in 2 languages

All-purpose multilingual communication human interpreters (volunteer students?) all languages!

System integrating machine helps dictionaries, SR for better understanding management (human resources, rendez-vous…)

up to automatic speech translation task-related: 100% automatic, WITH feedback,

control all-purpose: with some interactive

disambiguation

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Scenario 1

2 persons meet… ex: French visitor and Chinese soccer fan manage to say something in English, but

They connect to the IBI service IBI = intermittent Beijing interpretation using 1 or 2 PDA (or cell-phone, or HH-

PC…) If Chinese is not one of the 2

languages simply use 2 human interpreters (L1-C-C-

L2)

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Scenario 1

2 persons meet… ex: French visitor and Chinese soccer fan manage to say something in English, but

They connect to the IBI service IBI = intermittent Beijing interpretation using 1 or 2 PDA (or cell-phone, or HH-

PC…) If Chinese is not one of the 2

languages simply use 2 human interpreters (L1-C-C-

L2)

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Scenario 2

2 persons meet… ex: American visitor and Chinese soccer

fan use ST & other machine aids to converse

connect to IBI when ST breaks down :-( interpreter looks at dialog log, then helps using on-the-fly built dialog dictionary

and may leave them again if s/he is needed by others and they say

OK Then they continue on their own.

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Scenario 2

2 persons meet… ex: American visitor and Chinese soccer

fan use ST & other machine aids to converse

connect to IBI when ST breaks down :-( interpreter looks at dialog log, then helps using on-the-fly built dialog dictionary

and may leave them again if s/he is needed by others and they say

OK Then they continue on their own.

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Scenario 3

Afterwards, from hotel & from home… they have a distant conversation using their PC + headset [+ videocam]

using a multimodal, multilingual chat no human interpreter, but user

involvement control, feedback, interactive

disambiguation

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Scénarios for ERiM-Interp (schéma 1)

Communication and Collection servers

Speaker 1 Speaker 2 Professional,

orcasual

situation(recorded if agreement)

On-lineoraltranslation

(recorded if agreement)

ERIM-i platform distant ‘intermittent’ interpreting

…

professional interpreter

/ volunteerinterpreter

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Scénarios for ERiM-Interp (schéma 7)

Communication and Collection servers

Speaker 1 Professional,

orcasual

situation(recorded if agreement)

On-lineoraltranslation

(recorded if agreement)

ERIM-i platform distant ‘intermittent’ interpreting

…

NEW SCENARIOS :

•a foreign researcher or University colleague, available for intermittent volunteer interpreting, from his/her usual workstation (office)•a professional interpreterworking home or in an office•a multilingual multimodal‘hot-webline’ for medical,technical, juridical… assistance•a ‘junior’ interpreter (volunteer)… cf. user evaluation / demand

Speaker 2

professional interpreter

/ volunteerinterpreter

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2. Dissemination of information

Supposing situation is: From Chinese & English to other

languages Written source, general + many domains High quality needed

Then: FAHQMT is still a dream! Only practical way = disambiguation in

source preedition (annotation) interactive disambiguation

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How?

2 possible strategies Cooperate with MT vendors (not 1!) Build a system from research efforts

Technical aspects "Split" system & introduce interactive

disambiguation after analysis "UNL++" as practical linguistico-semantic

pivot Too sophisticated linterlinguas may be better, but are usable only by very very developers

(if any)

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3. Lexical resources

Put what you have in Papillon site in the "contributed dictionaries" format basically, it is ANY XML form

Transform into "Papillon format" (refine the ore) DiCo-NL for monolingual entries Add info to lexies (word senses) & refine them Connect lexies (through "axies")

Generate application-oriented lexicons on the fly (real time server mode) or off-line no IPR problems here (Linux way, GPL)

Cooperative Building of a Large, Rich Multilingual Lexical Database

of Monolingual Dictionaries & Interlingual Links to generate open source dictionaries on

the WebChristian Boitet & Emmanuel Planas

GETA, CLIPS, IMAG, CNRS, INPG & UJF

Grenoble, France

{Christian.Boitet, Emmanuel.Planas}@imag.fr

PAPILLON:

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French Dictionary Interlingual Dictionary Japanese Dictionary

Vocable Carte n.f.

Lexie carte à jouer

Lexie carte géographique

地図

カード

Acception 343

UNL: card(icl>play)

Acception 345

UNL: map(fld>geography)

Internal Architecture of the Database

Architecture Derived from Dr. Gilles Sérasset’s Ph.D. Thesis

17G. Fafiotte & Ch. Boitet28/10/03

Interlingual links motivated by translations = "AXIEs"

Possibilitity to link 1 lexie to >1 acception Links to other representations: AXIE—1——n—

>UW

PAPILLON diagramFrench DiCo

Vocable carte n.f.

lexie carte.1 carte à jouer

lexie carte.2 carte géographique

Japanese DiCo

地図

カードAcception 343

UNL: card(icl>play),card(icl>thing)…

Acception 345

UNL: map(fld>geography)

Interlingual links

Acception 1002

UNL: card(fld>money)

a

Thai DiCo

English DiCo

Vocable card N

lexie card.1 playing card

lexie card.2 money card

Vocable=lexie map