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Artificial Intelligence (AI)

Do Human Translators Have a Reason to Be Afraid of Advancing Technologies

Human Translators are rather than machine translators, human intelligence to convert over one method for directing things toward another.



Be Afraid of Advancing Technologies

Concerns about how automation will change the world are well justified, but it’s a conversation we sometimes overly simplify.

There’s no doubt that machine learning and artificial intelligence is rapidly becoming more sophisticated, and it will reach a point where many of the jobs we take for granted today won’t exist in the years or decades to come.

We sometimes have a tendency to paint issues in broad strokes. Some jobs artificial intelligence is well equipped to handle, but some jobs are better left to humans.

As a species, we have long seen formal language as a unique component of humanity. The possibility of machines making translators obsolete isn’t just a vocational issue. It’s an existential one. The situation is fairly complex, but also one worth investigating more closely.

1. How Automation is Already Changing the WorkForce

The conversation around automation is dominating the business world, but it can impede recognizing how much the labor market has already changed and why the way we work has to change too.

It’s easy to forget how dramatically the internet has changed our world. The rise of cell phones alone would seem an impossibility to most people just a few decades ago.

Today, our lives are more interconnected than they’ve ever been, and we rely on automation and technology in almost every aspect of our daily life, not just work.

The spread of the personal computer and high-speed internet has made remote work the rule rather than the exception. We’re now able to reach practically anyone in the world from our bedroom or home office, and the notion of the traditional office is rapidly becoming obsolete.

But while these technological advances have made our lives significantly easier, they can also be scary. If technology can so easily disrupt long-standing notions of the office, surely it can fulfill our fundamental jobs.

2. Artificial Intelligence in Language Translation

There are many tasks where the role of automation is rather obvious. Vehicle assembly line jobs can benefit from having robots fulfilling the tasks. We have relegated these simple and monotonous jobs to specialized machinery.

There’s plenty of evidence that automating these processes result in safer and more effectively manufactured products.

Things get significantly more complicated when we talk about language. Human language is often as much an art as it is a science.

Idioms don’t always translate directly from one language to another, and a delicate touch is necessary to ensure that intent carries from one language to another.

3. How Machines Translate Language

That’s where Machine Translation comes in. MT is exactly what it sounds like: a means by which a computer system tries to translate from one language to another.

The most exciting developments are happening in the realm of Neural Machine Translation. NMT uses a neural network that learns from experiences – it replicates the same process a human might experience when trying to pick up a new language.

Machines Translate Language

This is a situation where repetition is important. Machines aren’t capable of contextualizing language in the same way we are, but they’re phenomenal at recognizing patterns of connectivity.

The more data you can feed to a neural network, the more sophisticated the understanding of the language it will develop.

A good neural network has plenty of data to draw from. A neural network will run millions of different translations, guessing the right answer based off of its prior experiences, comparing it against the right answer, and applying that knowledge to its existing data bank.

In reality, neural networks are applying mathematical formulas to language, codifying them in terms of raw numbers that the computer can understand.

4. The Tricky Nature of Tacit Knowledge

When we program computers for machine learning, we’re teaching them to crudely simulate the functions we perform when we think. Scientists are often finding themselves befuddled by how little we know about what we know.

How do you teach a computer the mix of balance, instinct, and learned experience that comes with riding a bike? These things are regarded by experts as “tacit knowledge”.

Consider all the cognitive functions you take for granted. Most humans can read a lot about the emotions and attitudes of their peers through body language alone. These are tasks we didn’t explicitly learn but picked up through years of human experience.

Similar is our ability to infer the meaning of phrases we might not know through context or pick up implied meaning through tone.

Tricky Nature of Tacit Knowledge

One of the greatest ironies of human existence is typified in what’s become known as Polyani’s Paradox. “We can know more than we can tell”. Even given how sophisticated machine learning has become, the ability of a computer to learn is still limited by what we can convey to the system.

And we’re discovering more and more that factors like emotional intelligence, social intelligence, and instinct still give humans an edge in terms of translation.

5. What Machines Can’t Do

If you’re involved in the translation field, you need not be concerned about machines taking your job away from you, at least not right away.

While machines are coming closer to something approaching human intelligence, our attempts at setting up NMT has helped us realize how complex our grasp of language really is.

A recent study from computational linguists has revealed that while machine learning has made some serious leaps and bounds to translate short fragments, it still stumbles with longer-form documents. It’s largely an issue of how these neural networks process information.

Typically, they treat each sentence in isolation, but that means that larger, contextualized meaning to a document is lost. Machines are great at providing us with a literal translation for a fragment of the text, but they’re much worse at applying meaning to that translation. It comes down to that argument of art vs. science.

For a neural network to learn, it needs a teacher. There’s a common phrase in data science: “Garbage in, garbage out”. A mind is only as good as the information it’s fed.

And that’s why we need and will continue to need linguists who can properly analyze language and feed it to machines so they can become more sophisticated with their translations.

What Machines Can’t Do

The complexity of neural networks means that while we can evaluate the quality of the results produced, we can’t know for sure the process that achieved those results. It gains the learning process after sorting through millions of data sets.

Artificial Intelligence often comes to incorrect conclusions, and we can never be sure why it reached those conclusions. That means that even as it becomes more advanced, we’ll need people available to double-check those results.

6. The Role of A.I. Looking Forward

Artificial Intelligence and machine learning can be incredibly powerful, and it will undoubtedly play an important role in language translation. But that role will be focused more on assisting human translators rather than replacing them.

NMT is still in its infancy, and we’re far from a point where we can rely on it to produce reliable results for anything longer than short sentences.

That will change with time, but machine learning is revealing to us the impressive complexity of human language. Translators shouldn’t have to worry about losing their jobs to machines soon, but they can expect to have much of the busy work they deal with to become automated in the years to come.

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Ashley Wilson is a digital nomad writing about business and tech. She has been known to reference Harry Potter quotes in casual conversation and enjoys baking homemade treats for her husband and their two felines, Lady and Gaga. You can get in touch with Ashley via Twitter.

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Artificial Intelligence (AI)

WORM-Compliant Storage: Exploring Write Once Read Many (WORM) Functionality

This is sometimes referred to as write once, read many, or WORM, compatible storage. With a name like that, it’s hardly surprising that many need help understanding it.




How does WORM storage work

Organizations generate an immense quantity of data, yet sometimes they need or want to preserve it in an unalterable format.

For legal reasons, a non-profit organization may desire to keep its financial information in this format regularly. An institution may desire to save graduation records in this manner in case the actual records are lost in an accident. Businesses may desire unalterable records to avoid tampering, which might cover up fraud.

This is sometimes referred to as write once, read many, or WORM, compatible storage. With a name like that, it’s hardly surprising that many need help understanding it.

We’re here to help you get a grasp on things. Let’s go!

1. What Exactly Is Write Once, Read Many?

The simplest explanation is that it is immutable storage. You may write data to the storage device or medium just once. Following that, no one may legally alter the data in any manner.

CD-R discs are a basic kind of WORM storage. You may add data to the blank disk, but it will remain in that state indefinitely. You may damage or destroy the disk to prevent someone from accessing it, but you cannot modify the data contained in it.

WORM storage allows for repeated reads of the data. Assuming the disk or drive isn’t destroyed, there’s no practical limit to how often you can access the data.

2. How does WORM storage work?

There are two options for implementing WORM storage in your business. The first technique is hardware, which uses tape or a similar form of media that permanently stores data, making physical destruction of the WORM storage device the sole way to delete it.

Nonetheless, with many solutions migrating to cloud and SaaS services, selecting particular hardware might be challenging. However, many of these service providers now provide software-defined WORM solutions, which combine the flexibility of software with the strictness, security, and indelibility of hardware-based WORM.

Whether you utilize software or hardware to achieve your compliance objectives, the idea is the same. When someone writes data to a WORM disk, it remains there eternally. The assumption that you cannot alter the data on a WORM drive only refers to anything that has already been saved there; the ability to add new data is always available as long as there is adequate storage space on the drive.

Do you need WORM-compliant storage

3. Do you need WORM-compliant storage?

Unless your company works in the securities or healthcare industries, which are subject to SEC or HIPAA laws, there is likely no legal need to adopt write-once, read-many (WORM) compliant storage solutions. However, legal requirements are only one motivator for using WORM storage systems.

WORM compliant storage provides a key role in addition to regulatory compliance. For example, if you want to keep a safe archive of historically important documents, WORM storage is a wise solution. This guarantees that once data is written, it cannot be changed or erased, protecting the integrity and validity of critical documents over time.

Furthermore, in situations where internal workers may tamper with corporate documents, WORM storage adds an extra degree of protection. Creating immutable copies of papers makes it easy to check the correctness and validity of records, reducing worries about possible manipulation.

Likewise, WORM storage may serve as a protection for proof of trade secrets or intellectual property, providing a snapshot of data at a given point in time and preserving valuable assets from illegal changes or access. In conclusion, although WORM-compliant storage is not legally required for all enterprises, it provides essential advantages for data integrity, security, and crucial information preservation.

4. What are the primary advantages of WORM storage?

WORM technology protects businesses against many of the usual difficulties associated with data corruption and loss. The primary advantages of deploying WORM storage include:

Compliance With Industry Regulations

Using WORM storage helps firms comply with recordkeeping rules and laws. More than simply archiving data is required. Businesses must store their data in the right, unalterable format to comply with regulatory requirements and avoid significant fines and penalties.

Risk Mitigation for Poorly Archived Data

Companies must have a robust procedure for archiving all data. If information is needed as part of an audit or lawsuit and the required data is lost or damaged, difficulties (and penalties) will arise.

Better Information Security

WORM Storage secures precious and sensitive data and, more critically, prevents it from being doctored or changed. It guards against occurrences such as data being accidentally or purposefully manipulated.

Better Data Governance

WORM storage contributes to the present business-wide practice of rigorous and well-planned data governance. It also enables you to better adhere to the Electronic Discovery Reference paradigm (EDRM), a paradigm that describes the steps of the eDiscovery process throughout an inquiry.

5. Use Cases of WORM Storage

Professional content distribution includes financial records, police investigations, court testimony, computerized voting, and other applications in which data files must be safeguarded against manipulation or deletion, particularly when material is accessed, relocated, or transferred. Organizations transfer all data given over to the data investigation business onto WORM disks, ensuring that nothing changes beyond that point.

Transferring a read-only file across a network using encryption and passwords does not ensure that the file is original or untouched. Furthermore, it is usually preferable to enforce something in hardware rather than software since when the program is not operating, the data may be tampered with.

  • Corporate records
  • Financial and Insurance
  • Intelligence collection
  • Law enforcement
  • Electronic Voting
  • Court Proceedings
  • Medical Records and Devices
  • Public Records
  • Artificial Intelligence
  • Cyber-attack protection
  • IT security and log files


Write once read many compliant storage enables enterprises to safeguard information in a method that no one can tamper with. This may occur with something as basic as a CD-R or with software-based cloud storage.

The size of the data typically influences the medium used. You can keep a few papers on physical media without issue. Petabytes of data need a strong in-house storage ecosystem or a cloud storage provider.

If you decide to use a cloud storage provider, be sure to inquire about the retention term choices and redundancies.

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