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The Future does not need Translators. Or does it? How near are we to the point in time that machines will be better at translating most content? The point is already there: Machines are translating today probably around 100 times what human translators are doing. “Super-Human” machine abilities Proven in Vision Proven in Speech Recognition for very specific tasks Proven by DeepMind in for the Game of Go Needed creativity, strategy, overall situation analysis Why not for “translation”?
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The Future does not need Translators. Or does it?- Jean Senellart

Feb 16, 2017

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Page 1: The Future does not need Translators. Or does it?- Jean Senellart

The Future does not need Translators. Or does it?How near are we to the point in time that machines will be better at translating most content?

• The point is already there:

Machines are translating today probably around 100 times what

human translators are doing.

• “Super-Human” machine abilities• Proven in Vision

• Proven in Speech Recognition for very specific tasks

• Proven by DeepMind in for the Game of Go• Needed creativity, strategy, overall

situation analysis

• Why not for “translation”?

Page 2: The Future does not need Translators. Or does it?- Jean Senellart

Human translators vs. or w/ Machine

Project Analysis

Project Planning & Evaluation

Project Execution

Project Monitoring

Project Finalization

Translation or Post-Editing

Editing/Reviewing

Proofreading

DTP

Page 3: The Future does not need Translators. Or does it?- Jean Senellart

With Great Power Comes Great ResponsibilitiesNew opportunities coming from deep learning

• From Translation to Post-edit to automatic Post-editing of Human Translation• Translation Assistant

• From Machine Translation to Transcreation• Through concept of “thought vector”

• For even more advanced use that we can not even anticipate