Google Translator vs. Human Translator – Who Wins?

Catering to the needs of every consumer is essential in business. Otherwise, it will be challenging to achieve the desired goals. The best way to reach a broader client base is by building a website with information in different source languages. An obvious option for translating web content into other languages is hiring professional translators, but it is an approach that may prove costly. As such, online translation from Bing Translator and Google Translate may be a convenient choice. Translations provided by such tools are fast and offered at no cost. However, when choosing which one to use, you have to weigh the pros and cons, features, and performance to get a high quality of your final translation.

It’s worth noting that machine translations offer the essence of speech on a document; hence, refinement should not be expected from it. It can combine words to create sentences without understanding the meaning. It can be helpful to determine if a document contains specific information, but it may not be beneficial if trying to understand how a topic is related to your paper. Therefore, neither Google Translator nor Bing Translator can outdo human translators.  I must confess that the Chinese phrase was utterly incomprehensible to me. I translated the challenge phrase into French, keeping the intended intention in mind. None of these machine translation services are fully coherent, thus unacceptable in legal or official translation scenarios.

Lately, the machine translation service has become quite popular. People download Google Translate App because of its many features. It provides speech translation and works with almost all popular language pairs. It is a statistical machine translation that often uses predictive algorithms. The accuracy of Google Translate has improved recently. Custom machine learning can be given credit for the improved accuracy of Google Translate. In the app form, the settings panel has made Google Translate applicable to many people. Using optical character recognition by Google allows the app to read images better.

But Google Translate struggles begin when you need help with complex phrases instead of standard terms. It can work perfectly with common assignments, especially if you need the translation of European languages. If you require the accurate translation of technical terms from Google Translate or ask for its help with an Asian language, you won’t get good results. It is good with the most common languages and English translations, but only if you don’t need help with complicated phrases. Choosing an app for maximum time saving on translations will only end badly when you need a human expert to correct the errors.

Both Google Translate and Bing Translator have virtually similar formats. Each has two rectangular text boxes placed on the web page. The text box to the left is used to enter the content to be translated, while the one to the right shows the translation results. Both also allow you to enter a web address of the site content you need translation for. If you use the web version of Google Translate instead of the Android app, you can also get document translations from it. But it may fail to keep the original formatting of your document translation intact.

Language Variation

Both are capable of translating not only English but other languages as well. This allows you to solve any supported languages into any given renditions. However, Google Translator can translate more languages, up to 63, while its Bing counterpart can manage up to 37 languages. The languages not supported by Bing and Google include Swahili, Icelandic, Basque, Filipino, Yiddish, Cantonese, Afrikaans, and Irish.

Online Translation Accuracy

According to The New York Times article, the three most prominent online translators were matched against each other for accuracy. When compared with human translations, they were nowhere near accurate translations. But Google Translate seemed much closer to the correct translation, especially for French and Spanish. The code in Google Translate and neural learning are a few reasons behind the service’s accuracy. Best-in-class quality: Google has a rich history of providing translation services to consumers and organizations. Google Translate offers many add-on features.

The Interface

Bing and Google Translator have minor variations on their interfaces. Each allows you to pick original and target language names from a dropdown menu at the top of the page. You can then paste the content or address of the webpage on the left text box and select the part that needs to be translated. The right-hand side text box will then show the results of the translation. The difference is that Google Translate enables users to hover the mouse over the phrases or terms that need alternative translations. This unique and valuable feature is lacking in Bing.

Google’s app for Android and iOS offers a better user experience. The voice input option lets people speak on their phones and get translations. They can also edit translations before copying them to make them more accurate. The camera input allows users to take pictures of the content they need to know its meaning. Both voice input and camera input features have been a hit with users. The latter uses optical character recognition to gather information from images.

Google Translator vs. Human Translator:

Google’s language service was launched as a statistical machine translation service. To gather linguistic data, it turned to European Parliament documents. But its creators failed to realize that people don’t talk like politicians daily. Although statistical machine translation services can be accurate in certain situations, they are not always helpful. Today, the app and service work best when people require English translation. But when the target language is Chinese or Korean, you can’t trust the result of the app—customization matters for the domain- and context-specific terms or phrases and formatted document translation. As a result of Google’s most recent improvements, the translator now supports six additional languages ( new languages include Bosnian, Cebuano, Khmer, Marathi, Hmong, and Javanese ).

People fear translation products provided by human experts for a few reasons. They think that translation pricing will hurt their budget. Some believe they won’t be able to find experts for specific language pairs. They also fear that they won’t have enough control over the results to be able to edit translations. But all of these concerns are baseless. You can find a native expert in any destination language easily. You are much more likely to find a native expert in Haitian Creole than to get its accurate translation online. If you hire the right service provider, you won’t worry about translation pricing. A human translator won’t have to go through the United Nations or European Parliament documents to provide you with accurate results.

You don’t have to worry about the target language with human experts. They will help you with English translations and all types of destination languages. You can even get accurate speech translation if you send the audio to a human expert. You will get accurate results no matter how complicated the technical terms are. You also won’t have to worry about the original formatting, as translators will keep it intact.

You don’t need an Android app to connect with foreign language experts. You won’t have to find a machine translation engine or check if it gathered the correct linguistic data. You can look up service providers and pick one with the best ratings. They will offer you affordable rates and maximum time-saving options so you will get accurate results quickly. This was causing some annoying display issues on the WordPress Dashboard.

If you can get the services of human experts, you won’t have to pay for a floating widget. You won’t have to navigate the settings panel to find the right option or turn to Google Cloud to access a translation. You will get accurate written word translation whenever you need it.

Final Thoughts

Even though Google Translator helps perform simple translations or get the basic idea from an email, it cannot handle the figure of speech, such as idiomatic expressions for most common languages. However, it seems to perform pretty well with French! To Google! I typed in the Chinese characters, surrounded them with quotation marks, and then did a Google search for that exact literal string. And so, given the information supplied by Google Search, I came up with my phrase “South Study special aide.” It’s too bad Google Translate couldn’t avail itself of the services of Google Search as I did. Fixed an HTML attribute issue displaying in the menu shortcode.

Google Toolbar offers a lot of features to users. Statistical machine translation can help us in a lot of situations. But we need to understand that we can’t survive without the help of linguistic experts. The floating widget option for website users is only helpful regarding common words and phrases. Only human experts can handle all source languages in their complicated forms. Language experts use statistical machine translation from time to time. However, they review their translation products before handing them to clients.

Language experts translate millions of documents every day, and many of them work without the help of statistical machine translation. This shows that the Google Translate tool cannot compete with human experts despite its many useful features. Google Translate tool is helpful for travelers when they are in a foreign country. However, statistical machine translation won’t help them when they apply for a visa and need to get their documents translated. In conclusion, human experts win from Google Translate by a considerable margin. Besides, online translation services offer cost-effective automatic proofreading and professional translation services. If you submit 5,000 characters for translation and include two target languages for a batch translation request, the total number of characters to process is 10,000. Charged surfaces To calculate usage, Google counts use on a per-character basis, even if a character is multiple bytes.