Why learning a language is better than using machine translation

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As technology and AI translation tools continue to advance, it's becoming increasingly tempting to rely on them for language-related tasks. However, this can potentially undermine motivation to learn a new language when technology seems to offer a shortcut. While machine translation can be helpful, it also has its limitations.Ìý

Learning a language goes beyond just communication; it opens the door to different cultures, mindsets, and perspectives of the world. Machine translation, despite its efficiency, cannot replicate the cultural immersion that comes with learning a language. Spoken language nuances, idiomatic expressions, cultural references, and implicit rules that are second nature to native speakers are often lost in translation. Let's delve deeper into why learning a language is better than solely relying on machine translation.

Why learning a language is better than machine translation
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Common translation issues

Machine translation isn't 100% perfect yet

In recent years, machine translation technologies have made significant strides. However, they can still struggle to capture the intricacies of the source language and accurately convey them in the target language, such as idioms, metaphors and wordplay, often providing a literal translation that lacks context.

A lack of knowledge about the written language or cultural norms can lead to misinterpretations and misunderstandings. Employing effective translation strategies can help address these challenges, but that takes time, testing and resources.Ìý

Some words and expressions, like the Danish ‘,’ have no direct translation and can be lost in machine translation. Machine translation networks can interpret nearly identical sentences differently due to their sensitivity to small variations. This inconsistency, along with the potential inclusion of human biases from its learning data, makes the reliability of these translations questionable at best.

Machine translation can miss context

Context is paramount in effective communication. It’s the cultural, social and linguistic backdrop that gives words their full meaning. Unfortunately, machine translation often fails to take context into account, resulting in translations that can miss the mark.

As language constantly evolves, incorporating new expressions, grammar and slang, machine translations face challenges in keeping up. This one example highlights the risk of missing context in translations and underscores the need for human translators who can navigate these changes and understand the subtleties of language.

Also these systems may segment text improperly due to complex formatting, causing translations to lack context if they’re cut in the middle of sentences.

Cultural nuances can be overlooked

Another aspect where machine translation can struggle is in recognizing and accurately translating terms of address that can vary based on certain aspects unknown to it, like age, title, relationship or social hierarchy.

For example, languages like Korean and Japanese are particularly rich in this respect, with a complex system of honorifics that can change the entire tone of a conversation. These honorifics are deeply embedded in the culture and are a crucial part of respectful communication. They signal the speaker's relationship to the listener, their relative social status, and level of formality required by the situation.

Machine translation systems may not discern these kinds of subtleties, often defaulting to the most direct or common translations without considering the context. This can lead to significant errors in communication, as using the wrong term of address might be seen as rude or inappropriate by fluent speakers.

Machine translations can lack personality

While translation technology has come a long way in terms of accuracy and fluency, it still falls short when it comes to capturing the personality or "soul" of a text. Language is not just a set of rules and vocabulary; it is a living, breathing form of expression that conveys emotions, tone and the unique style of the speaker or writer.

Every language carries its own cultural weight and subtleties, which are often intertwined with humor, irony and personal flair. These nuances are what give a language its richness and depth, and they are also what machine translations most frequently miss.

When you read a beautifully crafted piece of writing, be it literature, poetry or a heartfelt letter, you are not just processing information; you are experiencing the author's personality and emotional undertones. The choice of words, the rhythm of sentences, and the use of literary devices are all deliberate choices made by the author to evoke certain feelings and reactions.

Machine translations however, tend to operate on a purely functional level, prioritizing literal meanings over stylistic elements, thus stripping away the original flavor and personality of the text. They may be able to copy someone's style of writing, but they need that initial dataset to pull from; without the data, a machine would struggle.Ìý

Technology isn't always at hand to do the work for you

Despite technology simplifying language translation, it isn’t always available or dependable. There may be times when you don’t have access to the internet, when your translation app doesn’t work as expected or when there just simply isn't time. In these situations, knowing the language can be invaluable.

Being self-reliant in communication is crucial in a world where technology is constantly evolving. It’s about developing the confidence to navigate and use technology effectively without constant assistance. Just as we need to be self-reliant in using technology, we also need to be self-reliant in communication. And that means learning languages.

Advantages of learning a new language

Career opportunities

Proficiency in multiple languages can open up a wide range of career opportunities. Companies are on the lookout for multilingual employees for their capacity to foster positive client relationships and demonstrate cultural awareness. Bilingual individuals are particularly sought after in fields such as U.S. government agencies, the business market, engineering and the medical field.

Being bilingual not only gives you a competitive edge in the job market but also highlights your motivation and determination. These are qualities that employers value highly. Studies have also found that bilingual individuals have improved problem-solving and critical-thinking skills, which are highly valued across most career fields.

On top of that, bilingual employees can earn more money per hour on average than those who only speak one language (depending on the industry), according to various and . So learning a language can literally pay off.

More genuine interactions

Learning a language involves more than just memorizing a word list. You’re delving into a new way of thinking and using new sentences and expressing yourself. You’re learning how to communicate more effectively and authentically with people from different cultures. And that can lead to more genuine and meaningful interactions.

There are lots of different approaches and techniques to studying and learning new words. But to truly master a language, you need to use those vocabulary words in context, to understand their nuances and subtleties. And that’s something that machine translation just can’t provide.

Ultimately learning a language goes beyond mere communication - it’s about making connections. It’s about understanding and appreciating the rich tapestry of human cultures and experiences. And it’s about enriching our own lives through the process of learning and discovery.

Personal Identity

Embarking on the journey to learn a language also paves the way for self-discovery. It helps shape our personal identity and gives us a deeper understanding of ourselves and the world around us. When we learn a new language, we’re not just learning a new way of communicating, we’re also learning a new way of thinking and viewing the world.

Being proficient in foreign languages can:

  • Broaden our cultural horizons and allow us to appreciate different cultural practices and worldviews

  • Encourage adaptability and openness to new experiences

  • Foster a global mindset

  • Promote personal growth through the development of discipline and the pursuit of continuous learning

The process of language acquisition can be a transformative experience.

Learning a second language is good for your brain

In addition to social and career advantages, learning a language also benefits your brain health. Research, such as the study conducted by Mechelli et al. (2004) in "," has shown that bilingual individuals have denser grey matter in their brains, compared to monolingual individuals. This can enhance cognitive abilities, such as improved memory, better problem-solving skills and increased mental agility.

Regularly using a second language has been linked to a stronger memory, with research indicating better performance on memory tests among bilingual individuals, affecting both short-term and long-term memory, as suggested by the study conducted by Bialystok et al. (2004) in "". Learning a foreign language can also enhance communication skills, increasing empathy and the ability to see things from another perspective, which in turn benefits everyday communication.

Creativity is yet another domain where language learners show prowess. Studies have found that the process of learning a language seems to unlock creative abilities in problem-solving and flexibility, as indicated by research like that of Kharkhurin (2009) in "".

So, whether you’re looking to boost your career, expand your horizons or just keep your brain sharp, learning a language is a really good idea.

Should I be using machine/AI translations at all then?

By all means, machine translations can be a helpful aid in certain contexts, such as quickly understanding the gist of a text or facilitating basic communication in a pinch. They are convenient when you need a fast translation and are dealing with simple, straightforward sentences. However, they should not be relied upon for deep understanding or nuanced communication.

Consider machine translation as a supplementary tool rather than a substitute for learning a language. It is when the intricate layers of language come into play—such as idioms, cultural references, and humor—that human touch becomes indispensable. So use machine translations with caution and awareness of their limitations, especially in situations where accuracy and cultural sensitivity are paramount.

Conclusion

Learning a language offers students numerous benefits over machine translation. It opens up new career opportunities, fosters deeper connections, enhances cognitive abilities and contributes to personal identity development. While machine translation tools have their place and can be very useful, they can’t replace the rich and nuanced understanding that comes with learning a language.

It’s a journey of discovery, a way to broaden your horizons and a key to unlocking the knowledge of cultures, history and experiences. And that’s something that no translation system or tool can ever provide.

Take the leap and pick up a new language with our language learning app Mondly by ÃÛÌÒapp or read our post 'Why should I learn English?'

More blogs from ÃÛÌÒapp

  • Hands typing at a laptop with symbols

    Can computers really mark exams? Benefits of ELT automated assessments

    By ÃÛÌÒapp Languages

    Automated assessment, including the use of Artificial Intelligence (AI), is one of the latest education tech solutions. It speeds up exam marking times, removes human biases, and is as accurate and at least as reliable as human examiners. As innovations go, this one is a real game-changer for teachers and students. 

    However, it has understandably been met with many questions and sometimes skepticism in the ELT community – can computers really mark speaking and writing exams accurately? 

    The answer is a resounding yes. Students from all parts of the world already take AI-graded tests.  a²Ô»å VersantÌýtests – for example – provide unbiased, fair and fast automated scoring for speaking and writing exams – irrespective of where the test takers live, or what their accent or gender is. 

    This article will explain the main processes involved in AI automated scoring and make the point that AI technologies are built on the foundations of consistent expert human judgments. So, let’s clear up the confusion around automated scoring and AI and look into how it can help teachers and students alike. 

    AI versus traditional automated scoring

    First of all, let’s distinguish between traditional automated scoring and AI. When we talk about automated scoring, generally, we mean scoring items that are either multiple-choice or cloze items. You may have to reorder sentences, choose from a drop-down list, insert a missing word- that sort of thing. These question types are designed to test particular skills and automated scoring ensures that they can be marked quickly and accurately every time.

    While automatically scored items like these can be used to assess receptive skills such as listening and reading comprehension, they cannot mark the productive skills of writing and speaking. Every student's response in writing and speaking items will be different, so how can computers mark them?

    This is where AI comes in. 

    We hear a lot about how AI is increasingly being used in areas where there is a need to deal with large amounts of unstructured data, effectively and 100% accurately – like in medical diagnostics, for example. In language testing, AI uses specialized computer software to grade written and oral tests. 

    How AI is used to score speaking exams

    The first step is to build an acoustic model for each language that can recognize speech and convert it into waveforms and text. While this technology used to be very unusual, most of our smartphones can do this now. 

    These acoustic models are then trained to score every single prompt or item on a test. We do this by using human expert raters to score the items first, using double marking. They score hundreds of oral responses for each item, and these ‘Standards’ are then used to train the engine. 

    Next, we validate the trained engine by feeding in many more human-marked items, and check that the machine scores are very highly correlated to the human scores. If this doesn’t happen for any item, we remove it, as it must match the standard set by human markers. We expect a correlation of between .95-.99. That means that tests will be marked between 95-99% exactly the same as human-marked samples. 

    This is incredibly high compared to the reliability of human-marked speaking tests. In essence, we use a group of highly expert human raters to train the AI engine, and then their standard is replicated time after time.  

    How AI is used to score writing exams

    Our AI writing scoring uses a technology called . LSA is a natural language processing technique that can analyze and score writing, based on the meaning behind words – and not just their superficial characteristics. 

    Similarly to our speech recognition acoustic models, we first establish a language-specific text recognition model. We feed a large amount of text into the system, and LSA uses artificial intelligence to learn the patterns of how words relate to each other and are used in, for example, the English language. 

    Once the language model has been established, we train the engine to score every written item on a test. As in speaking items, we do this by using human expert raters to score the items first, using double marking. They score many hundreds of written responses for each item, and these ‘Standards’ are then used to train the engine. We then validate the trained engine by feeding in many more human-marked items, and check that the machine scores are very highly correlated to the human scores. 

    The benchmark is always the expert human scores. If our AI system doesn’t closely match the scores given by human markers, we remove the item, as it is essential to match the standard set by human markers.

    AI’s ability to mark multiple traits 

    One of the challenges human markers face in scoring speaking and written items is assessing many traits on a single item. For example, when assessing and scoring speaking, they may need to give separate scores for content, fluency and pronunciation. 

    In written responses, markers may need to score a piece of writing for vocabulary, style and grammar. Effectively, they may need to mark every single item at least three times, maybe more. However, once we have trained the AI systems on every trait score in speaking and writing, they can then mark items on any number of traits instantaneously – and without error. 

    AI’s lack of bias

    A fundamental premise for any test is that no advantage or disadvantage should be given to any candidate. In other words, there should be no positive or negative bias. This can be very difficult to achieve in human-marked speaking and written assessments. In fact, candidates often feel they may have received a different score if someone else had heard them or read their work.

    Our AI systems eradicate the issue of bias. This is done by ensuring our speaking and writing AI systems are trained on an extensive range of human accents and writing types. 

    We don’t want perfect native-speaking accents or writing styles to train our engines. We use representative non-native samples from across the world. When we initially set up our AI systems for speaking and writing scoring, we trialed our items and trained our engines using millions of student responses. We continue to do this now as new items are developed.

    The benefits of AI automated assessment

    There is nothing wrong with hand-marking homework tests and exams. In fact, it is essential for teachers to get to know their students and provide personal feedback and advice. However, manually correcting hundreds of tests, daily or weekly, can be repetitive, time-consuming, not always reliable and takes time away from working alongside students in the classroom. The use of AI in formative and summative assessments can increase assessed practice time for students and reduce the marking load for teachers.

    Language learning takes time, lots of time to progress to high levels of proficiency. The blended use of AI can:

    • address the increasing importance of formative assessmentÌýto drive personalized learning and diagnostic assessment feedback 

    • allow students to practice and get instant feedback inside and outside of allocated teaching time

    • address the issue of teacher workload

    • create a virtuous combination between humans and machines, taking advantage of what humans do best and what machines do best. 

    • provide fair, fast and unbiased summative assessment scores in high-stakes testing.

    We hope this article has answered a few burning questions about how AI is used to assess speaking and writing in our language tests. An interesting quote from Fei-Fei Li, Chief scientist at Google and Stanford Professor describes AI like this:

    “I often tell my students not to be misled by the name ‘artificial intelligence’ — there is nothing artificial about it; A.I. is made by humans, intended to behave [like] humans and, ultimately, to impact human lives and human society.â€

    AI in formative and summative assessments will never replace the role of teachers. AI will support teachers, provide endless opportunities for students to improve, and provide a solution to slow, unreliable and often unfair high-stakes assessments.

    Examples of AI assessments in ELT

    At ÃÛÌÒapp, we have developed a range of assessments using AI technology.

    Versant

    The Versant tests are a great tool to help establish language proficiency benchmarks in any school, organization or business. They are specifically designed for placement tests to determine the appropriate level for the learner.

    PTE Academic

    The  is aimed at those who need to prove their level of English for a university place, a job or a visa. It uses AI to score tests and results are available within five days. 

    ÃÛÌÒapp English International Certificate (PEIC)

    ÃÛÌÒapp English International Certificate (PEIC) also uses automated assessment technology. With a two-hour test available on-demand to take at home or at school (or at a secure test center). Using a combination of advanced speech recognition and exam grading technology and the expertise of professional ELT exam markers worldwide, our patented software can measure English language ability.