Translation has become a necessity in our everyday interactions and has become an integral part of global communication. With the advent of newer technology comes efficient alternatives to content localization and translation. A common debate is which service would you choose between human translation VS machine translation. In recent times, machine translation has become an increasingly popular method and relatively cheaper alternative to human translation.

Machine Translation

The earliest instance of machine translation was mainly government-funded. Due to the exorbitant cost of running computers, the technology was far too expensive for it to become an economical business pursuit. In general, machine translation covers the use of software to translate a text or speech to another language without any involvement of human intervention.

In recent years, global companies that want to scale translations on their content often integrate translation APIs as a feature on their localized platforms. This option has proven quite adequate for translated content that does not require the need for proofreading, copywriting or translation precision. The following are the leverage of machine translation over the more traditional process of human translation.

  • Ease of integrating the translation services into specialized workflows
  • Supports a wide range of localized language within a single interface
  • Depending on the size of the literature the result is more instantaneous
  • No more need for managing translation resources
  • Full-time accessibility and availability of machine translation
  • The use of API is developer-friendly which makes it programmable and adaptable

To sum it up, machine translation is the highly scalable and accessible low-cost option for localization in the human translation VS machine translation debacle.

machine translations

Limitations of Machine Translation

One of the most prevalent limitations of machine translation is how it cannot keep up with the changes in the nuances and cultural slang of the languages. These misgivings result in the translations to feel inconsistent, robotic and unnatural. For front-end content, experts usually recommend against the use of machine translation.

With any new technology, it will always accompany with it the possibility of whether it can perfectly replicate the human function that it tries to emulate. To quickly summarize, while machine translation can improve the localization process, it will be highly unlikely for it to replace the current workflow that is already well established by Human Translators. The following accounts for the majority of the reason why this is:

  • Inability to contextualize the localized cultural references
  • Highly dependent on the transliteration of each word
  • Lower accuracy when translating culturally relevant expressions, slang and slight nuances in the local dialect
  • Difficulty in correcting localized terminologies as well as cultural and grammatical errors

In short, the challenges above can easily be resolved by Human Translators which are essential in catching the grammatical errors and language nuances that the machine cannot. Human translation will effectively add consistency, integrity and cohesiveness in the brand localization when scaling globally.

The Edge of Human Translation

Even with the advent of machine translation, the demand for translation jobs is still continuously increasing as days go by. Thus, here are reasons why human translation is still preferred in some situations in the argument of using human translation VS machine translation.

  • Professional Translators provide more accurate and higher quality localization
  • Expertise in language offers a better contextual understanding
  • Conveys creativity by carefully crafting sentences to completely convey the message because of their deep understanding of the language
  • Sensitivity to the culture helps avoid miscommunication especially in cases where certain words might mean something different o