Why learning a language is better than using machine translation

Charlotte Guest
Students sat outdoors writing in notepads smiling

Reading time: 7 minutes

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.

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.

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.

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 app or read our post 'Why should I learn English?'

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    Teaching English to different groups of learners

    Let’s meet some different groups of students, learn a little more about their motivations and explore whether different motivations alter how students learn English. You may recognise some of these learners in your classes.

    1. Adult learners

    These students are learning English for pleasure or personal reasons. It might be because of travel, social or family reasons or perhaps because a better grasp of English might assist them with their careers. There are also adult learners who could be learning English as an immigration requirement.

    For example, 23-year-old Alice decided to learn English so she could meet people and have more meaningful interactions with her English-speaking neighbours. She says: “I was very shy and not very confident in speaking to people, but learning English helped me connect with others and meet new people. I have changed a lot.”

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    2. Professional learners

    These learners are typically in a more formal type of English programme and are learning the language to achieve specific career milestones, such as a promotion. Their employer might even be paying for their learning or they might be reimbursed for the cost of their lessons.

    Vincenzo is 33 and works as a Product Manager in Milan for an international organization with offices around the world. He says: “I asked to take English classes as part of my professional development. My company chose an English provider and gave me a choice of group or one-to-one classes. I chose one-to-one classes as I’m easily distracted.”

    Professional learners like Vincenzo succeed using a blended learning model of learning in class and at home that they can tailor around their lives. They have a strong motivation to succeed – that’s why learning at home works for them – but step-by-step progress provided by the GSE Learning Objectives is also important to keep this motivation alive. “I met with my teacher once a week where we would work on mistakes I would make while speaking English. He would also give me extra practice materials, like interesting games and videos to listen to in my own time, to help me really get a better understanding of the language,” Vincenzo says.

    3. Academic learners

    Learning English is a requirement for many school programmes and students will continue this at college or university. Many of these students will be learning English with a formal course that offers practice tests for high-stakes exams.

    Seventeen-year-old Subra is from Malaysia and learns English at school. Some of her family live in Australia and she is considering studying abroad to attend a University that specializes in health care. When she was young, she learned in a traditional classroom backed with tests that helped her see how she was progressing. Now she uses technology, such as her Android Huawei phone to practise her English but still needs the validation of regular testing to know she is on track.

    Subrasays: “I am used to studying for tests as I prepared hard for exams to get into middle school and senior school, which was totally determined by test results.”

    Academic learners like Subra need to see demonstrable results to help them stay motivated and guide them to the level of English they need to achieve to get the required score on high-stakes tests. With the clear GSE Learning Objectives and a placement test, academic learners can map out where they are right now and where they need to be in order to reach their academic goals. These learners need encouragement and validation of their progress from their teachers to help keep them on track.

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    AI is revolutionising every industry, and language learning is no exception. AI tools can provide students with unprecedented access to things like real-time feedback, instant translation and AI-generated texts, to name but a few.

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    Generative AI tools such as ChatGPT and Gemini have made it easier than ever for students to refine and develop their writing. However, these tools also raise concerns about whether submitted texts are student-produced, and if so, to what extent. If students rely on text generation tools instead of their own skills, our understanding of our students’ abilities may not reflect their true proficiency.

    Another issue is that if students continue to use AI for a skill they are capable of doing on their own, they’re likely to eventually lose that skill or become significantly worse at it.

    These points create a significant ethical dilemma:

    • How does AI support learning, or does it (have the potential to) replace the learning process?
    • How can educators differentiate between genuine student ability and AI-assisted responses?

    AI-integration strategies

    There are many ways in which educators can integrate AI responsibly, while encouraging our learners to do so too.

    1.Redesign tasks to make them more ‘AI-resistant’

    No task can be completely ‘AI-resistant’, but there are ways in which teachers can adapt coursebook tasks or take inspiration from activities in order to make them less susceptible to being completed using AI.

    For example:

    • Adapt writing tasks to be hyperlocal or context-specific. Generative AI is less likely to be able to generate texts that are context-bound. Focus on local issues and developments, as well as school or classroom-related topics. A great example is having students write a report on current facilities in their classroom and suggestions for improving the learning environment.
    • Focus on the process of writing rather than the final product. Have students use mind maps to make plans for their writing, have them highlight notes from this that they use in their text and then reflect on the steps they took once they’ve written their piece.
    • Use multimodal learning. Begin a writing task with a class survey, debate or discussion, then have students write up their findings into a report, essay, article or other task type.
    • Design tasks with skill-building at the core. Have students use their critical thinking skills to analyse what AI produces, creatively adapt its output and problem solve by fact-checking AI-generated text.

    2.Use AI so that students understand you know how to use it

    Depending on the policies in your institution, if you can use AI in the classroom with your students, they will see that you know about different AI tools and their output. A useful idea is to generate a text as a class, and have students critically analyse the AI-generated text. What do they think was done well? What could be improved? What would they have done differently?

    You can also discuss the ethical implications of AI in education (and other industries) with your students, to understand their view on it and better see in what situations they might see AI as a help or a hindrance.

    3.Use the GSE Learning Objectives to build confidence in language abilities

    Sometimes, students might turn to AI if they don’t know where to start with a task or lack confidence in their language abilities. With this in mind, it’s important to help your students understand where their language abilities are and what they’re working towards, with tangible evidence of learning. This is where the GSE Learning Objectives can help.

    The Global Scale of English (GSE) provides detailed, skill-specific objectives at every proficiency level, from 10 to 90. These can be used to break down complex skills into achievable steps, allowing students to see exactly what they need to do to improve their language abilities at a granular level.

    • Start by sharing the GSE Learning Objectives with students at the start of class to ensure they know what the expectations and language goals are for the lesson. At the end of the lesson, you can then have students reflect on their learning and find evidence of their achievement through their in-class work and what they’ve produced or demonstrated.
    • Set short-term GSE Learning Objectives for the four key skills – speaking, listening, reading and writing. That way, students will know what they’re working towards and have a clear idea of their language progression.