Is Machine Translation here to stay?

On the occasion of my upcoming workshop on DeepL and Machine Translation, I was looking at old webinars and blogs and found the first one I wrote in 2018(*), the same year DeepL was incorporated. At the time, I was already saying that translators should look into the field of post-editing as one of the options to remain competitive. Less than four years later, we are seeing that MT has actually opened up the world to one without language barriers as people anywhere and everywhere use these engines billions of times a day.

What then of the translator? You tell me…

Are you able to make a living on traditional “human-only” translations?

Good for you! You have found a niche that is hiding from most of us.

Just as an example, the term “human-in-the-loop” is now common in LSPs and other intermediaries of the language services industry and in large corporations that provide their own translation services. This term reflects the fact that they have an automated process where a human will “edit” or “improve” or take the machine translation output and make it “akin to human translation”. The process is automated and takes into account the need for human intervention. Not the other way around.

I am not advocating for this. I did not invent this. I have no skin in the game of machine translation engines. I receive no compensation other than the one I earn by telling you that this trend is here to stay and to grow and become mainstream. I am here to tell you that you need to adapt. It is time for you to think outside the box and realize that reality has changed dramatically in the field and that, for most translators, it will become the norm. I am referring to post-editing machine translation.

Maybe this is not for you. Great, thanks for stopping by. We can all agree to disagree. No problem.

But if you are struggling to find work (and will struggle even more in the coming years), why don’t you start to think of the “upskills” you need to meet the new challenges brought about by neural machine translation and artificial intelligence in the world of translation (and interpreting).

I take you through the first steps…. so you can test the waters and see if they are warm enough for you… The workshop will be offered April 28, 2022 and recordings will be made available for those who registered on time.

https://training.proz.com/learn-how-to-use-deepl-machine-translation

https://training.proz.com/learn-how-to-use-deepl-machine-translation


✓ Learn to use the free MT version
✓ Learn to use the paid MT version
✓ Learn to ensure confidentiality
✓ Learn post-editing techniques
✓ Learn essential quality assurance rules
✓ Learn to use and create electronic glossaries
✓ Have a rough draft translation in seconds
✓ Create a light post-edited document very fast
✓ Create a professional translation using full post-editing saving lots of time
✓ Improve research and confirmation of translated terms
✓ Understand how to incorporate MT into CAT tools

Who is this course for?

✓ Any translator in any language pair anywhere in the world (with access to the internet)
✓ Any interpreter who would like to incursion into the world of translation
✓ Any person who needs to acquire basic information about a document (lower quality translation without post-editing)
✓ Only requirement: sufficient command of English to understand the session

Image credit: https://fananymi.wordpress.com/category/computer-vision/

In the meantime, let me share part of that 2018 blog I was mentioning earlier in here .

Hope to see you in cyberspace!

Claudia Brauer

Human Parity

Excerpts from “DeepL MT: A Game Changer for professional translators”

(*)https://claudiabrauer.com/2018/09/20/deepl-mt-a-game-changer-for-professional-translators/

As part of the study materials I distribute, I share my Quality Guidelines for Human-Quality PEMT (Post Editing of Machine Translation Output).

This is what I believe a Human-Parit PEMT should achieve:

Purpose:

·      Accurate (preserve intended meaning of the original)

·      Correct grammar, syntax, style

·      Correct informal aspects of written language

·      Sensitive to regional variations (dialects and target language use)

·      Written (mostly) in plain language

·      Culturally and Linguistically appropriate (terms and expressions must be understood appropriately and consistently by most people reading text in TL)

·      Follow glossaries when provided

·      Follow style guides when provided

·      Avoid literal translation (too formal, complicated, awkward texts, though semantically equivalent)

·      Aim for “comparable constructs”

Information:

  • Complete (no omissions, additions, or changes)
  • Loyal (the same message is conveyed)
  • Accurate (same information transferred)
  • Reliable
  • Consistent
  • Technical equivalence (technically and conceptually)
  • Conceptual equivalence (content) (Does it accurately reflect original meaning?)
  • Intent (Have connotations and denotations been transferred)

Essentials

  • Grammar (system and structure of language)
  • Style (word choice, point of view, tone, + syntax)
  • Syntax (rules governing sentence structure, including word order, to achieve particular effects)
  • Semantics (sense, reference, implication, logical form, word relations, cognitive structure)
  • Register (level of formality)
  • Readability Level (easier or more difficult to read)
  • Format and Layout (including document setup, arrangement, charts, graphics, illustrations)
  • Spelling
  • Punctuation
  • Capitalization

Correct and optimal use of language:

  • Language conventions
  • Dates
  • Numbers
  • Addresses
  • Acronyms (transfer)
  • Abbreviations
  • Names of people
  • Names of countries and places
  • Brand names

Other issues to ensure:

  • Fluency
  • Phrasing
  • Nuances
  • Absence of False cognates
  • Cultural Sensitivity (will it make sense to the target audience or will it create confusion or concern)

Other recommendations:

CONSTANTLY COMPARE MACHINE TRANSLATION PLATFORMS

  • Select three or four to compare
  • Obtain translations
  • Review each individually
  • Compare changes
  • Select preferred
  • Repeat every three or four months (new or improved versions)

Rating

5         Excellent

4         Correct

3         Enhance

2         Doubtful

1         Incomprehensible

or

5         Top human translation quality equivalence

4         Normal HT equivalence

3         Beginner HT equivalency

2         Misinterpretations

1         Gross Errors

==============================================================

CHALLENGE: Help us build our next micro-learning experience!

Visit our website and let us know two topics that could be of interest to you. When we receive your answer, we will send you a link to download (for free) five of our proprietary tools for translators and interpreters.

WEBSITE TO VISIT: https://brauertraining.com

 

 

 

Screen Shot 2020-01-13 at 4.53.03 PM

BrauerTraining helps aspiring and working translators and interpreters develop the skills needed to meet the demands of the 21st-century language services industry. We offer online content plus six different skills “gyms”

 

Transinterpreters for 2020

On March 21, 2019, I will have the honor of speaking at the TAUS Global Content Summit in New York. I believe translators and interpreters need a new identity. Translators must be capable of interpreting and interpreters must be qualified in translation. Transinterpreters embrace new tools, are savvy in today’s technology, are digital and mobile. They acquire soft skills to adapt to fast change and solve problems in original ways. I suggest these future Transinterpreters will be recruited from new pools of bilingual individuals worldwide. 

Sidenote: I believe “old guard” translators and interpreters might be able to hold on to some niche markets as the “experts” in their fields. But if they continue to remain ignorant in the technologies of our world (electronic, virtual, digital, mobile, and similar), maybe that time will not last much either. For example, literary translators and conference interpreters might have a longer “shelf-life” than other old-school translators and interpreters, but maybe just for one decade or two.

As the world changes, every profession and craft must adapt to the changes in their world. Even artists such as painters and writers have learned to use the technologies of our time and the changes in the social conditions and communication channels. So too, the specific needs for translators and interpreters have changed.  What we are expected to do, how, where, and even why and whom with, all has changed in the past two or three decades.

biotechnology bright chemical chemistry
Photo by Pixabay on Pexels.com

To give you an example, in 2011 I started some of the first webinars on remote interpreting, using phone and video. I received some comments from “experts” who had a strong position against the concept of remote interpreting. Today, it is a tried and true means of delivering interpreting, to the point that even conference interpreters are entering the world of working from remote locations.

In the field of translation, in 2013 I predicted that in a few years we would be starting most of our translations with a draft pre-translated by a machine. Post-editing is now widely used commercially and the pace is growing exponentially, to the point that even post-editing of machine translation may already be replaced by just the tasks of revision. And yes, I know that a huge amount of companies and individuals still don’t use machine translation, but they soon will, as the technology becomes cheaper and easier to use.

I will now admit that translators and interpreters will not be replaced (in the short-term) by technology, but insist they will be replaced by other translators and interpreters USING technology. This is already proving to be correct. Many have seen dramatic drops in their workloads.  I am guessing they are the non-tech-savvy.  Others, on the contrary, have seen dramatic increases in their workloads. They are, I believe, the tech-savvy ones.

Nokia Lumia 1020, Stephen Elop, Andy Inahtko

Additionally, there is something else brewing in the air.  The need for translators to be able to interpret and interpreters to be able to translate (or post-edit machine translation outputs). Why? Because in our interconnected world, voice and text are becoming interchangeable.  Today we can listen to Siri or voice GPS and can dictate the texts to be sent by our phones. Likewise, in a world of remote interconnections, your clients may hire you for an interpreting session but might very well ask you to translate some texts. Or if you are working on a client’s translation, you might be asked to interpret the conversations around the modifications to the original or the translated texts.

Finally, talking about soft skills, two decades ago, translation and interpreting were “alone” professions.  If you were a translator, you worked alone. If you were an interpreter, very seldom would you work in a team environment. All this has changed. Translation is now just a piece of a big group puzzle called language services, and interpreting is becoming a team effort. Soft skills are now essential as business is done at an increasingly fast pace. You must now also be agile, adaptable, flexible, and creative at solving problems; you are expected to act as a team player, have the ability to accept and learn from criticism, display a positive can-do attitude, demonstrate self-confidence, and work well under pressure.

Yes, Transinterpreters are individually a super-man or a super-woman. We have always known translators and interpreters were that, but now it is a requirement of the job! (Smile, please).

 

blue and red superman print tank top shirt
Photo by Pixabay on Pexels.com

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DeepL MT, a game-changer for professional translators

On September 25, as part of the Proz.com celebration of International Translation Day 2018, I will present “Learn DeepL MT for beginners” (go to https://hubs.ly/H0dP7wp0). All sessions sponsored by ProZ.com on the 25th and the 26th are FREE to all participants.

I believe that at present, DeepL is one of the best tools available for translators. My presentation therefore centers on the mechanics of the platform and I shows you how easy it is to use. As with any tool translators may use, confidentiality of client’s information should always be a priority.

This platform uses Deep-Learning Neural Machine Translation. NMT uses a “large artificial neural network to predict the likelihood of a sequence of words, typically modeling entire sentences in a single integrated model.”  Deep learning NMT “processes multiple neural network layers instead of just one. It is a a completely new generation of artificial neural networks that … learn to grasp the subtle meanings of sentences,and conveys them in the target language in a way not seen before.”

I am recommending the use of this platform and API integration because I have found it to produce quality draft translations that are more fluent than other MTs while productivity may be doubled, tripled or more. It is very intuitive and extremely easy to use. Additionally, it relies on EU-level privacy protocols. At present it only services English, Spanish, German, French, Dutch, Italian and Polish, but they are expanding languages.

Come join us on the 25th and learn the mechanics of DeepL and other interesting tricks related to MT, plus enjoy all the other sessions offered for FREE by ProZ.com.

==============================================================

As part of the study materials I will be distributing, I will share some of my Quality Guidelines for Human-Quality PEMT (Post Editing of Machine Translation Output).

This is what I believe a Human-Quality PEMT should achieve:

Purpose:

·      Accurate (preserve intended meaning of the original)

·      Correct grammar, syntax, style

·      Correct in formal aspects of written language

·      Sensitive to regional variations (dialects and target language use)

·      Written (mostly) in plainlanguage

·      Culturally and Linguistically appropriate (terms and expressions must be understood appropriately and consistently by most people reading text in TL)

·      Follow glossaries when provided

·      Follow style guides when provided

·      Avoid literal translation (too formal, complicated, awkward texts, though semantically equivalent)

·      Aim for “comparable constructs”

Information:

  • Complete (no omissions, additions or changes)
  • Loyal (same message is conveyed)
  • Accurate (same information transferred)
  • Reliable
  • Consistent
  • Technical equivalence (technically and conceptually)
  • Conceptual equivalence (content) (Does it accurately reflect original meaning?)
  • Intent (Have connotations and denotations been transferred)

Essentials

  • Grammar (system and structure of language)
  • Style (word choice, point of view, tone, + syntax)
  • Syntax (rules governing sentence structure, including word order, to achieve particular effects)
  • Semantics (sense, reference, implication, logical form, word relations, cognitive structure)
  • Register (level of formality)
  • Readability Level (easier or more difficult to read)
  • Format and Layout (including document setup, arrangement, charts, graphics, illustrations)
  • Spelling
  • Punctuation
  • Capitalization

Correct and optimal use of language:

  • Language conventions
  • Dates
  • Numbers
  • Addresses
  • Acronyms (transfer)
  • Abbreviations
  • Names of people
  • Names of countries and places
  • Brand names

Others issues to ensure:

  • Fluency
  • Phrasing
  • Nuances
  • Absence of False cognates
  • Cultural Sensitivity (will it make sense to target audience or will it create confusion or concern)

Other recommendations:

CONSTANTLY COMPARE MACHINE TRANSLATION PLATFORMS

  • Select three or four to compare
  • Obtain translations
  • Review each individually
  • Compare changes
  • Select preferred
  • Repeat every three or four months (new or improved versions)

Rating

5         Excellent

4         Correct

3         Enhance

2         Doubtful

1         Incomprehensible

or

5         Top human translation quality equivalence

4         Normal HT equivalence

3         Beginner HT equivalency

2         Misinterpretations

1         Gross Errors

==============================================================

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Join my free session on DeepL Machine Translation on Sept 25 to celebrate Int’l Translation Day sponsored by ProZ.com @prozcom livestream #ProZTV  https://proz.com/tv/ITD2018