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Translations for a working [email protected] Humans vs. Machines An MT cost benefit analysis

Humans vs Machines: An MT cost benefit analysis

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In this presentation we compare machine translation with human translation. We look at a side by side comparison of workflows and a cost benefit analisys.

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Page 1: Humans vs Machines: An MT cost benefit analysis

Translations for a working [email protected]

Humans vs. MachinesAn MT cost benefit analysis

Page 2: Humans vs Machines: An MT cost benefit analysis

Translations for a working [email protected]

WelcomeIntroduction

• Webinar is being recorded and will be

made available

• Slides will be available with the

recording

• Details of how to access the recording

and the slides will be emailed after the

webinar

• Q&A at the end; use the chat box to

submit questions during the

presentation

Rob Davies

Marketing Manager

Milengo

[email protected]

Presenter

Page 3: Humans vs Machines: An MT cost benefit analysis

Translations for a working [email protected]

MT and the current landscapeAn overview

• MT has been long lauded as the holy grail

• Reality hasn’t matched up to expectations

yet

• Free tools not suitable for business

• Free tools can’t deal with large volumes

• Custom development = high cost

• Our experience

• 2 years testing and development

Page 4: Humans vs Machines: An MT cost benefit analysis

Translations for a working [email protected]

The ProjectWorkflow Comparison

• Technical document source files

• Translated from English into German

• Similar word volumes + subject matter

• Project 1 – Human Translation – 89k words

• Project 2 – MT + post-editing – 90k words

• Same TM was used for both projects with no

modification

• Analysis also includes test projects for both

Page 5: Humans vs Machines: An MT cost benefit analysis

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Quick Break!Poll 1

Page 6: Humans vs Machines: An MT cost benefit analysis

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Human Translation WorkflowSample Translation / Test Project

Test files submitted

Team Selection

File + TM + CAT Tool prep

Fuzzy Match analysis

Human Translation

QA

Client delivery

Client Delivery

Client review/feedback

Amends

QA

Page 7: Humans vs Machines: An MT cost benefit analysis

Translations for a working [email protected]

Human TranslationProduction / Project Workflow

Project files submitted

Fuzzy Match analysis

Human Translation

QA

Client deliveryAll language assets and tools have already set up

Client Delivery

Client review/feedback

Amends

QA

Page 8: Humans vs Machines: An MT cost benefit analysis

Translations for a working [email protected]

Human TranslationCosts & Timescales

Covers all activity pre translation and post

QA.Based on a project size of 180k words

Project managementTranslation & Review

3 Translators 2500 words per day

1 senior linguist5000 words per day

180k words Total Time

40 Days

3 days10% of project

cost

36+1 daysPer Word Rate

Page 9: Humans vs Machines: An MT cost benefit analysis

Translations for a working [email protected]

MT + Post-Editing WorkflowTest / Training Project

Test files + language data

File + CAT Tool prep

Engine Certification

Pre translation

QA

Post Processing

Client Delivery

Client review/feedback

Amends

QA

Client deliveryEngine build/training

Fuzzy Match analysis

Post-editor selection

Machine Translation

Post-Editing

Additional process steps

Page 10: Humans vs Machines: An MT cost benefit analysis

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MT + Post-Editing WorkflowProduction / Live Project

Test files + language data

File prep

Pre translation

QA

File consolidation

Client delivery

Fuzzy Match analysis

Machine Translation

Post-Editing

Engine setup, training and testing have been completed and CAT tools already set up.

Client Delivery

Client review/feedback

Amends

QA

Page 11: Humans vs Machines: An MT cost benefit analysis

Translations for a working [email protected]

Machine Translation + Post-EditingCosts & Timescales

Project managementTranslation

Post-Editing & Review

Engine setup, asset prep, training and output

analysis.

Total Time 28 Days*

Engine Setup

Covers all activity pre translation and post

QA.Based on a project size of 189k words

MT 2000 words p/m3 post editors

5000 word per daySenior Linguist 7000 words

per day

*excluding engine training

1 day – test project onlyFREE

3 days10% of project

cost

<85% 132k66 mins with MT

Post edit 189k24+1 days

Per Word Rate

Page 12: Humans vs Machines: An MT cost benefit analysis

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Quick Break!Poll 2

Page 13: Humans vs Machines: An MT cost benefit analysis

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ComparisonMT/PE vs Human only

Project Management/Setup

Human Only – 3 days

MT/PE – 90k Words – 4 days

Time difference - +1 day

Cost difference – none

Project management is always

10% of project cost.

Engine build is currently FREE!

Translation/Edit Time

Human Only – 180k words – 37 days

MT/PE – 189k Words – 66 mins 24

days

Time difference - -13 days

Cost difference – up to 50%

cheaper*

33% productivity increase.

*Light post-editing or Full post-editing

depending on end use.

Page 14: Humans vs Machines: An MT cost benefit analysis

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Where is MT applicable?Technical Documentation Translation

• MT works best with standardized

language

• Controlled authoring of source

text improves output accuracy

• Large volumes are most cost

effective

Example uses

• Product manuals

• Instruction manuals

• Data sheets

• Technical specifications

• Knowledge bases

• Help files

Page 15: Humans vs Machines: An MT cost benefit analysis

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What are the requirements?Some Facts

• Companies within a technical industry

• Controlled or standardized language

• Annual spend of over $50,000 per language

pair

• Project sizes of 10,000 words and above

• A minimum of 500,000 sentence pairs or

translated units (bilingual data)

• A minimum of 300MB of target language

data (monolingual data)

Page 16: Humans vs Machines: An MT cost benefit analysis

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What’s the potential?Some Numbers

• Total spend worldwide $30billion

2011

• 55% of spend on Language Services

was translation

• Average project cost $13,500

• MT/PE saves 30% in time

• MT/PE saves 30% in cost

Lowers average project cost to

under $10k

Page 17: Humans vs Machines: An MT cost benefit analysis

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Questions?

Page 18: Humans vs Machines: An MT cost benefit analysis

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Thank you!www.milengo.com