neural machine translation: a report from the front line

21
Neural MT Separating the hype from reality a report from the front line TAUS Webinar / Industry Leaders Forum / LocWorld 34

Upload: iconic-translation-machines

Post on 23-Jan-2018

667 views

Category:

Business


1 download

TRANSCRIPT

Page 1: Neural Machine Translation: a report from the front line

Neural MT

Separating the hype from reality

a report from the front line

TAUS Webinar / Industry Leaders Forum / LocWorld 34

Page 2: Neural Machine Translation: a report from the front line

The Neural Narrative

Great, thanks. Let me use it now…

Page 3: Neural Machine Translation: a report from the front line

Level of D

ifficulty

Korean

Japanese

French IT

Marketing

Patent

Gisting

PEMT

Perfect

German

Use caseIndustryLanguage

Use cases for machine translation

Page 4: Neural Machine Translation: a report from the front line

Impact of Neural MT

Use cases covered by generic MT

Use cases needing custom MTThe

Bar

Page 5: Neural Machine Translation: a report from the front line

Impact of Neural MT

Use cases covered by generic MT

Use cases needing custom MTThe

Bar

Neural

MT has

raised the

bar

Page 6: Neural Machine Translation: a report from the front line
Page 7: Neural Machine Translation: a report from the front line

Of course.

We’re a team of MT experts. This is a big part of the value that

we bring to the table. We’re not just taking open-source tools off

the shelf. We’re innovating, researching, developing new

processes. Same for Neural MT.

e.g. lexically constrained decoding

Neural MT @ Iconic

“Do you ‘do’ Neural MT?”

Page 8: Neural Machine Translation: a report from the front line

It’s one of the ways.

MT is not a one-size-fits-all technology. What constitutes the best

approach depends on the language pair, domain, use case, and

various other factors. In some cases, the best approach will be

Neural MT, but not yet all the time.

Neural MT @ Iconic

“Is this the way you do MT now?”

Page 9: Neural Machine Translation: a report from the front line

When it gives the best output!

When you’re customising MT, there are so many things you can

do – different processors, parameters, ways of combining data

and tuning. We try multiple approaches and allow our systems to

use the best one.

Let’s look at some case studies, but first…

Neural MT @ Iconic

“When do you use it then?”

Page 10: Neural Machine Translation: a report from the front line

The Iconic Ensemble Architecture™

Page 11: Neural Machine Translation: a report from the front line

Patents Case Study

Average length: 7 words

Average length: 30 words

3 languages Same data sets Client evaluation

Ranking

1. Unusable

2. Poor

3. Adequate

4. Good

5. Excellent

Criteria

90% Adequate or above

0% Unusable

Page 12: Neural Machine Translation: a report from the front line

Linguist Review

both pass title criteria

only Iconic MT passed

abstracts

Patents Case Study – Chinese to English

31

3938

19

0

5

10

15

20

25

30

35

40

45

Titles Abstracts

Iconic MT Iconic Neural MT

Outcome

Iconic MT deployed in

production

Page 13: Neural Machine Translation: a report from the front line

Linguist Review

both passed on titles

only NMT passed abstracts

Patents Case Study – Japanese to English

52

33

0

10

20

30

40

50

60

Titles Abstracts

Iconic MT Iconic Neural MT

Outcome

Iconic MT deployed for titles

Neural MT deployed for

abstracts

4

54

4

Page 14: Neural Machine Translation: a report from the front line

Patents Case Study – Korean to English

40

25

0

5

10

15

20

25

30

35

40

45

Titles Abstracts

Iconic MT Iconic Neural MT

Linguist Review

Iconic MT below criteria

Neural MT significantly better

Outcome

Under review!

2

6

4

3

Page 15: Neural Machine Translation: a report from the front line

Neural MT raises the bar for general purpose MT

but the bar still needs to be tested.

Customisation Case Study

English to French English to Hindi

BLEU 1-TER BLEU 1-TER

Iconic MT 43.0 (+10.4) 55.2 (+7.7) 46.75 (+12.96) 56.4 (+5.5)

GNMT 32.6 47.5 33.79 50.9

Iconic NMT 39.2 50.5 - -

2 languages 1.5M training segments IT content

Page 16: Neural Machine Translation: a report from the front line

The Iconic Ensemble Architecture™

Neural MT is another

powerful tool in our

arsenal that helps us

deliver best-in-class

machine translation

output

Page 17: Neural Machine Translation: a report from the front line

“I don’t give a damn

what you do!”

Page 18: Neural Machine Translation: a report from the front line

MT @ Iconic – what we don’t do

MT MT MT MT

MT

MTMT

MTMTMTMTMT

MTMTMTMTMTMT

The ability to build your own MT

engines with Moses, Phrasal,

OpenNMT, Nematus, Fairseq.

Provide off-the-shelf general

industry engines. There are

some very adequate solutions for

that!

MT

Page 19: Neural Machine Translation: a report from the front line

Customised expert-built MT, using

the most appropriate tool for the job,

MT or otherwise.

MT @ Iconic – what we do do!

Develop products and solutions that

incorporate machine translation –

not just access to an API.

Page 20: Neural Machine Translation: a report from the front line

Engage our expert team on an Neural MT project to see if it works for your content

Neural MT – Early Adopter Program

To date

Custom-developments with

some of our closest partners

Now

Inviting early adopters to

expand the range of casesEarly Adopter Program

Page 21: Neural Machine Translation: a report from the front line

Thank You!

[email protected]

@johntins / @iconictrans