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Tag Archive for: AI Translation

Evaluating Downsides & Risks of AI Translations

March 10, 2023/in Translation/by Robert James

Do AI translations really have the capacity to outperform human translators?

Well, the impact of AI in the translation industry has become a matter of debate. You will find pro-AI and anti-AI groups giving their opinions about the impact of AI on business. Some argue that AI is the finest solution to futuristic problems, and others find it a threat that will manipulate the human job market and drag them to the edge of an existential crisis.

Though both sides of the argument are more philosophical and have very little scientific backing, to give any final verdict about the influence of AI on the business sector or human survival, we require more in-depth studies.

Let’s have a look at the arguments pro AI translations, as well as the risks attached to AI machine translations.

Understanding How AI Translation Works

Many people assume that AI technology gives cognitive abilities to machines so they can learn and think like humans. Well, there is no magic work goes behind AI. The working of AI machine translation tools is quite scientific, and it does have some drawbacks.

AI machine tools use algorithms along with a huge database to generate translations to and from any language, depending on the language pairs that an AI machine supports.

These tools take input text, process the information, find the most appropriate translations, and return the translated text back to the user. The output of your AI tools also uses translation memory, brand glossary, and other input instructions to generate more accurate results. Your translation memory and glossaries greatly influence the translated outcomes of AI machine tools. Moreover, some AI systems may be built to cater to a certain niche only. So, if a tool is designed for medical translation services, it may not have enough exposure to generate legal translations.

Some Arguments for AI Translation, And Why They’re Not So Strong

AI machine translation tools use advanced algorithms to generate translations, claiming to provide human-like quality and even better. So, before discussing the risk factors, we first need to understand the argument favoring AI machine translations.

Eliminate Human Error

Most AI software companies claim to create software that can eliminate human error entirely and generate error-free translations. Through their advanced machine algorithms, they generate high-quality content with good accuracy. Moreover, because AI machines have access to an extensive number of databases, they can do better research and generate the most appropriate translations for any type of content in any language. Well, to err is human, but machines are not divine, either. Machine tools also make weird mistakes, sometimes worse than humans, so such a claim doesn’t have any solid research backing.

Faster Content Delivery 

The second claim of AI translation companies is that they provide high-quality content within seconds that allows businesses to seamlessly manage a large number of translations. Well, how much quality they offer is a matter of debate, but undoubtedly, these machines can get your content translated in no time. As compared to human translators, the speed of work is way faster. So, high speed and greater work efficiency are other arguments made for pro-AI. However, fast is not always better when quality is compromised.

24/7 Availability 

Businesses can access an AI machine translation tool anytime and generate translations. There is no restriction of time limit like human translators who are only available for a certain time period. However, it is more about the money you want to spend on translations. You can hire human translators during the day and night, and freelance translators are always available in different time zones. So, in this digital age, timing is not an issue in the first place; it is more about affordability. You can pay both machines and translators to translate a document.

Cost-effectiveness

Do AI machine translation tools provide much value for money?

Well, you have to buy a monthly subscription to a tool and perform non-stop translation for a certain word limit. However, there is a positive correlation between the cost an AI system charges and the translation quality they provide. Businesses avoid using cheap AI tools because they can badly mess up the quality and context of translation. So, the higher you pay, the better quality you’ll get. Then how does AI claim to offer cost-effective translations?

Just like AI tools are available at high and low prices based on their credibility, they can also find expensive and cheap translators based on the experience they have. Hence, in both cases, we have the choice to make our translation project cost-effective by getting cheap services.

Some Prominent Risks and Drawbacks of AI Translations 

As we can see, most of the arguments made by pro AI are vague and lack solid evidence. You better not blindly trust the translations generated by AI tools because machine tools also have the potential to make mistakes and blunders.

Gaps In Accuracy & Context

Quality translations are not about swapping words from one language to another; they should also be translated in the right context and tone. Translations generated by AI tools mostly lack the right context because the machine can’t be as good as human translators when it comes to understanding linguistic nuances.

Mostly, when you are using machine translation tools to generate translation, the context of the message is lost in translation. Such translations are unable to represent what a brand stands for. Similarly, there may be fluency and readability issues. You always need to give a human touch to your translations for proofreading and editing purposes.

No Emotions, No Cultural Sensitivity 

Again, AI translation tools might not be able to provide culturally appropriate translations and are also not emotionally intelligent. So, you can also expect these tools to produce politically incorrect and emotionally offensive statements. Unfortunately, AI tools are not evolved enough to understand a market’s cultural sensitivities and social nuances. If your content is culture-sensitive, then AI tools are not a good option to go with because the risk of poor translations gets so high.

Professional linguists are still a better choice to create culturally appropriate translations, which will directly impact your brand credibility in a foreign marketplace.

Data Security Issues 

Are AI machine translation tools reliable enough to upload your confidential information? Data security has been a major concern when it comes to using open-source and paid AI tools for business translations. The risk is always there that AI companies may misuse your data for their gains because their algorithms work through data. They may save your data and reuse it later. You will never know if the AI company will sell your data to a third party without your knowledge, and we have already witnessed such cases with popular social media sites. The consequences of handing over your private data to such companies can be risky, and if you’re directly dealing with client data, it can put your brand in trouble for misusing the clients’ information. So, AI technology is full of doubts that make companies avoid taking such risks, and they rather prefer working with in-house translators.

No Personalization 

As mentioned earlier, AI works through algorithms, so you don’t really have the option to give these systems a long list of customizations like you typically do with your professional translators. For instance, you can choose the language pairs, but you can’t give market demographic research data to make your translations more resonating with the target customer. On the flip side, professional translators understand the context, tone, style, and intent of content to effectively transfer the same message to another language and market demographic.  

When it comes to personalizing your translation to core brand needs, AI tools have some limitations. So, the current AI technology doesn’t seem promising enough to replace human translators anytime soon.

It’s Not Fully Independent

Pro AI has been bragging about the miracles of artificial intelligence and how they have the capacity to replace humans. I mean, come on. Keep the debate about quality issues aside; we all know these AI tools can’t even function on their own and also require human intervention to upload and proceed with the information. Not just that, but once the translation is done, humans edit and proofread it for quality assurance. These tools are totally sandwiched around human efforts, yet making such big claims.

AI is helpful in enhancing human work capacity and relieving the operational burden, but it does have many shortcomings that we must not brush under the carpet.

Localization Issues

We primarily use translations to localize the brands, so they can smoothly seep into new cultures. AI machine translation tools do cause issues with brand localization. Referring back to the cultural insensitivity of AI tools, MT tools might not be able to generate in-context translations for a specific region. For instance, AI tools may provide the same translation for both USA and UK markets, totally ignoring the cultural context and other social nuances. So, you can’t target people from different regions separately. If you use AI tools, you are not localizing your brand; you are only translating it into another language.

Wrapping Up!

It is better not to get overwhelmed by the presence of AI tools in the translation industry. AI will not cause any prominent threat to human translators as long as they keep themselves up with changing times. However, translators need to get their hands on the latest technology because the traditional way of translation is gradually going out of business. So hope for the good, and keep calm because the future seems bright for translators!

How is Artificial Intelligences Translation Transforming Clinical Trials Results?

June 24, 2022/in Translation/by shahzad.bashir

The use of artificial intelligence has significantly improved the success rate of clinical trials. Its quickest turnaround time and higher work efficiency have made medical translations more convenient and hassle-free. Leveraging the power of AI in medical translations would not just improve the healthcare industry but would also speed up the time to market the medical services and products globally.

Considering the complexities and challenges of clinical trials, the use of AI translations into multiple languages is critical for global healthcare investigations and research. The increased use of artificial intelligence in healthcare has a huge impact on the success rate of clinical studies as well as its cost-effectiveness.

Artificial Intelligence Overview

AI technology enables computers to perform highly complex tasks that require human intelligence and judgment. AI-powered machines can mimic human behavior and have the ability of problem-solving and decision-making. Just like humans, these smart machines have the ability to think, see, hear, speak and even smell. From global businesses to healthcare, AI technology is now high in demand in various fields. AI computers use advanced machine learning algorithms that allow the machines to get wiser with time and experience.

Over time, the AI program improves the performance level of human professionals. AI applications use advanced algorithms to process large volumes of data to perform complicated tasks faster and more efficiently.

Use of Artificial Intelligence in Medical Research Translations

The use of AI machines is becoming popular in clinical trial translations because of their ability to quickly translate medical content into multiple languages. In the medical translation industry, deep learning algorithms absorb the previously done translations, and other information, to generate new translations. In this process, we have to use artificial neural networks to get information from multiple resources, evaluate the data and improve the overall accuracy of the results.

Analyzing the medical research from 2000 to 2015, it is estimated that the success rate was only 13 percent. However, the reason behind the failure of the clinical trials was not only medical. A lot of other factors, such as patient dropout, flawed trial processing, unfitting patient selection, and lack of communication were also the major reasons behind clinical research failures. There is a need to reinvent the clinical trial processes from patient selection to trial design that will have a positive influence on the overall clinical trial success rate.

How is Artificial Intelligence Influencing the Medical Translation Industry?

AI technology has literally revolutionized the medical healthcare sector from making remote healthcare accessible to improving the overall healthcare processes. Smart telehealth platforms use advanced technologies that enable healthcare providers to make more wise decisions, provide accurate diagnoses and design the best treatment plans for patients. To provide a personalized healthcare experience to their patients, healthcare providers localize their software to meet local standards. Localized software with modified designs and language translations makes it much easier for patients to use these applications. When it comes to medical translations, accuracy should be the priority because of the sensitivity of data, and any mistranslation can lead to a major health risk.

Clinical Trials Processes

There are various processes involved in the medical trials that must be done accurately for a higher success rate. Following are some critical processes of clinical trials that can be improved by integrating AI technologies.

Patient Selection

The first step of any clinical trial would be patient selection. You must choose suitable patients for the trials. A sample of eligible patients is selected who would participate in the clinical trials. There are various factors that you must take into consideration while choosing the right patients for the trial. It all begins with gathering patients’ information that may include age, height, blood group, and medical history. The data collected from the patients is analyzed to recruit the most suitable candidates.

Once the first phase of testing is completed, the selected patients are further downsized to optimize the patient sample. In the end, patients with full potential to support a clinical trial take part in the trial.

AI systems make the recruitment process faster and hassle-free by compiling vast amounts of data. It not only makes the whole recruitment process faster but also improves the effectiveness of results that leads to successful medical investigations.

Patient Examination

In the second step, it’s time to monitor the participants regularly following all the procedures. Patients have to provide detailed feedback to clinical staff about their medication, diet, daily activities, and any noticeable symptoms, or recoveries.

Considering the fact that trials might last for several months, sometimes patients become frustrated and lose track of their tasks. Clinical trials highly depend on the honesty and dedication of patients participating. To keep the process transparent, AI technology can be very helpful. By using wearable devices and real-time patient monitoring, the everyday activities of patients can be seen and there will be no need to ask patients for feedback and frequent visits to clinics.

AI-powered devices have made patient monitoring easier and more transparent than improving the medical research results.

Medical Data Translations

The healthcare industry is becoming huge, and there are multiple clinical trials happening globally. It is important to keep the information and research studies available and open to international medical researchers. To eliminate the ambiguity from the medical data, it should be translated into a language understandable by researchers. It would reduce the misinterpretations and confusion about previous medical trial processes and results.

When it comes to clinical material translations, you must hire professional medical translators who are well versed with the medical terminologies and also consider the healthcare standards in the targeted region. The other way to translate critical medical research is professional AI translation software with a monthly fee. Such tools use translation memory and glossaries to generate high-quality translations faster and cost-effectively. AI translation tools use deep learning algorithms and evaluate large amounts of data to generate accurate translations.

Clinical Trials Globalization

People around the globe suffer from almost the same healthcare issues. There is a need to globalize the clinical trials as well. Globalization of clinical trials leads to the authority and credibility of medical trials because of the diversification of data gathered from different ethnic groups.

Global clinical researchers are more effective, that’s why many medical researchers prefer doing international clinical trials. AI technology can be valuable in conducting successful global medical research. AI can speed up the medical translation process, and it takes comparatively less time to gather and examine patients’ data. It is also easier to monitor remote patients using AI wearable devices, so there will be no location restrictions. AI enhances the chances of your clinical trials’ success, and globalization adds to the credibility of medical research.

Are AI Machine Translations Really Helpful?

Machine translation can’t replace human translations. This is a common statement you may hear every time there is a discussion on machine vs human translations. Well, it might be right, but not all the time. There are some professional human translators who have aced the translation game, but we have to admit that most translators can only produce mediocre translations. If not brilliant translators, machine translations have already taken over the mediocre translators.

AI technology has improved over the years and it is still progressing at a high pace. Here we have professional AI translation tools, which can literally produce good quality medical translations that it can be hard to tell whether it is done by a machine or a translator. Unlike many open-source translation tools, these advanced AI paid tools to generate quick translations within context, without compromising the quality.

Not All AI Translation Tools Made Equal

Some AI tools are brilliant enough to translate complex medical translations, while others can mess things up. You can be really careful while choosing your perfect AI tool for translating medical documents and research papers.

You must look for an AI translation software that is good with medical translations, and understand the medical intricacies. Moreover, these tools perform translations considering international healthcare standards. Your AI tool provider should have a good reputation in the market. You can also acquire from their previous customers the credibility of the medical translation.

Final Verdict!

AI technologies are taking the healthcare industry to the next level with a higher success rate of clinical trial results. From patient selection to regular examination and medical material translation, everything is made easy with AI tools. Advanced AI deep learning algorithms evaluate large datasets and generate more accurate results. Moreover, it also keeps the whole clinical trial process cost-effective and fast. This article has highlighted the significance of AI technology in optimizing clinical trial processes. Moreover, the improved processes lead to more credible and accurate trial results.

AI medical translations tools optimize the overall translation workflow keeping the whole translation process faster and cheaper. Innovative AI tools have supported the clinical trial processes and made translation management super-easy for researchers have significantly improved the overall authenticity of medical studies.

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