Q: What are the advantages and disadvantages of machine translation?

The advantages of machine translation are: Multiple free translation engines as options, like Google, DeepL, etc A myriad of language pairs, from English-Portuguese to Russian-Zulu Instantaneous translations. You can translate in real-time. Machine learning mechanisms are improving, meaning that every day the services are getting better. The disadvantages of machine translation: Language pairing accuracy without English can be very low, giving it some limitations Risk of incorrect translation. Translation Engines struggle with context while translating. Mistakes might create irreversible situations. How to mitigate the disadvantages of MT? Accuracy, context, and mistakes are solvable by using Human-assisted Machine Translation and Machine Translation + Post-Editing . You can employ both of these methods while using Localazy to achieve the best possible quality of machine translations.

Question 1

How to use Multiple Machine Translation Engines at once?

Accepted Answer

Localazy offers you the possibility to easily translate your digital content with the help of machine translation (MT) engines within the web interface.

The Free tier provides Amazon Translate suggestions to support you by default, but sometimes, it’s not enough. When you want to use multiple machine translation engines at once, Localazy includes the Additional MT Engines feature.

Localazy helps you make better choices by displaying suggestions from multiple MT engines simultaneously, allowing you to make a more precise and accurate translation even when you don’t fully understand the target language.

Additional MT Engines feature is available with the Autopilot plan and higher tiers.

Supported machine translation engines are:

Amazon Translate (default)
Google Translate
DeepL
Azure Translator

Question 2

What is the best Machine Translation Engine?

Accepted Answer

We can gauge how good a Machine Translation Engine is by the accuracy of the translation, conciseness, consistency of output, and how many language pairs they offer.

Localazy offers four major machine translation engines to use when translating your content (available with the Additional MT feature enabled).

Use English, which is unquestionably the best language to pair with another language for machine translations because translations from and to English give the best results overall. That’s why it is also a good idea to select English as the source language for your projects in Localazy.

As for the engine itself, each one has its pros and cons:

Google Translate is the most popular and offers many languages and language pairs with a reasonably accurate translation, making it the best average option.
DeepL is becoming quickly better and better and is great for more technical terms. It is usually also very concise but has a lower variety of language pairs.
Amazon Translate still has a somewhat fluctuating quality; it can be very high or pretty low, but you can use it for free with Localazy.
Microsoft Azure has fewer available language options and average quality.

The best thing you can do is combine and compare multiple machine translation outputs and decide on the best results with backward translations and other checks.

Question 3

What is Machine Translation Post Editing?

Accepted Answer

Machine Translation Post Editing (MTPE) is the process of reviewing and editing the content translated by the machine translation engines giving it a final, more accurate result.

MTPE can include checking that all placeholders are correct and that the project-specific content is translated correctly and consistently.

Question 4

Which Machine Translation Engines are available in Localazy?

Accepted Answer

When you start with Localazy, you can work with Amazon Translate right off, as this engine is available in the Free tier by default.

If you want to use multiple machine translation engines, you can get the Additional MT Engines feature with the Autopilot plan and higher tiers.

Enable Additional MT Engines to get suggestions from:

Amazon Translate (default)
Google Translate
DeepL
Azure Translator

You might also want to read: #️⃣

Intro to Localazy from translator’s perspective

Question 5

What is Machine Translation?

Accepted Answer

Machine translation (MT) is the process by which computer software translates text from one language to another, without human intervention.

Question 6

How to keep quality of Machine Translations under control?

Accepted Answer

Machine Translations (MT) are an incredible invention that makes our life easier. But sometimes, their accuracy is low, and translating large amounts of texts will inevitably produce outputs of varying quality.

Translating strings to a language you don’t know well with MT engines can be a pain because you might not fully understand what’s truly in there.

What can you do to ensure consistent quality levels of machine translation output? Localazy offers some solutions you might want to consider:

Question 7

What are the advantages and disadvantages of machine translation?

Accepted Answer

The advantages of machine translation are:

Multiple free translation engines as options, like Google, DeepL, etc
A myriad of language pairs, from English-Portuguese to Russian-Zulu
Instantaneous translations. You can translate in real-time.
Machine learning mechanisms are improving, meaning that every day the services are getting better.

The disadvantages of machine translation:

Language pairing accuracy without English can be very low, giving it some limitations
Risk of incorrect translation.
Translation Engines struggle with context while translating.
Mistakes might create irreversible situations.

How to mitigate the disadvantages of MT?

Accuracy, context, and mistakes are solvable by using Human-assisted Machine Translation and Machine Translation + Post-Editing.

You can employ both of these methods while using Localazy to achieve the best possible quality of machine translations.

Question 8

What is the best free translation software?

Accepted Answer

There are plenty of tools that will accurately translate texts from one language to another. The choice of software depends on your specific needs. If you’re a translator, a business owner, a writer, or just want to brush up on your foreign words, then you’ll want to know about the best free translation software available.

If you’re looking for some basic translation for free, you might want to consider machine translation (MT). One-off machine translation tools will help you translate texts by using free online translators such as Google Translate, DeepL Translator, Yandex Translate, etc. These tools provide a simple interface for writing your texts to be translated into the selected language. Individuals often use these tools to translate basic information on websites, e-mail communication with customers abroad, etc.

Interpreter apps can translate spoken sentences in real-time, pairing text-to-speech solutions and machine translation. Voice translator apps are typically free but may also have the option of paying for unlimited translation services. These services include Google Translate, iTranslate Voice 3, Microsoft Translator, etc.

If you’re looking to translate your documents, website, or mobile apps into other languages, you might like to consider computer-aided translation tools and translation management systems. CAT tools and TMS allow translators to work with and through a computer and provide them with various tools and resources to aid in their translation process. This approach saves time, reduces errors, and is safer than relying only on technology or only on humans.

Localazy combines a TMS and CAT tool in one suite and offers a generous free plan. With Localazy, you get unlimited words, unlimited projects, the ability to add unlimited contributors, and whatnot. You can start immediately by signing up or reading our Getting Started guide in the documentation.

Question 9

Do machine translation engines in Localazy respect glossary terms?

Accepted Answer

The quality of translations depends on how well the translator understands the source text before they begin. Localazy AI is no different from a human in this regard — both need context to increase the accuracy and quality of the resulting translation.

Localazy AI uses your glossary, style guide, key names, translation notes, comments, and previous translations to reason about what you’re translating and how it should sound. Before you translate your strings using it, prepare at least the glossary and style guide to improve results.

More providers #️⃣

There are two other machine translation providers integrated in Localazy that should take your glossary terms into account when translating:

DeepL integration
Google Translate integration

While these integrations provide helpful translation capabilities, please note that the output of these engines and their models cannot be guaranteed to be 100% reliable. We cannot take responsibility for the translations they provide. The accuracy depends on the language pair (English as source is recommended) and the provider performance.

Remember: It is always recommended to follow machine and AI translation with a human review. If you don’t have the workforce available for reviewing your MT translations in-house, you can activate our Human-Assisted Machine Translation service.

Question 10

Are there any limits on machine translation in Localazy?

Accepted Answer

There are some limitations to consider when using Localazy¨s built-in machine translations:

Machine translation might not work in case your source content is too long. (Learn more)
Machine translation currently does not apply to plurals, because there might be different plural forms in the source and target language.
Machine translation does not translate keys with translations that are already translated, even though there might be another version waiting for review (waiting for review = true AND missing current version = false).
Machine translation might produce unexpected errors in your placeholders, glossary terms, and special markup contained in the source strings. Localazy prevents most of these issues automatically, but it is always advised to followup with a human review.
The Machine translation feature is also subject to a fair use limit of 2 million characters per month to ensure equitable access for all users. This limit is automatically applied to all accounts using the feature. If your translation needs exceed this threshold, Enterprise customers can access a higher limit tailored to their requirements. Please contact us to discuss Enterprise plans and expanded usage options.

Question 11

What is back translation and how does Localazy use it?

Accepted Answer

Back translation (also called backward machine translation or reverse translation) is a quality verification method where translated text is automatically translated back into the source language. Localazy includes built-in backward machine translation in its review interface, allowing you to verify translations even in languages you don’t speak.

When reviewing translations, you can access the back-translated version through a dropdown in the target language field. This helps you quickly spot potential mistranslations, context mismatches, or meaning shifts without needing fluency in the target language.

Question 12

When should I use back translation during the review process?

Accepted Answer

Use back translation strategically based on your project needs and language familiarity. It’s most valuable when reviewing crowdsourced translations, validating community contributions, or conducting bulk quality checks across multiple languages where you lack native speakers on your team.

Back translation is particularly effective for catching completely wrong meanings when you don’t understand the language. You may skip it, though, for languages where you have trusted translators or bilingual team members who can review directly. Their native fluency will catch nuanced issues that back translation misses, like inappropriate formality or cultural tone problems.

For high-volume projects, use back translation as a first-pass filter: quickly scan for obvious errors, then route flagged translations to human reviewers for final verification. This approach balances efficiency with quality, letting you manage translation quality across many languages without overwhelming your review capacity.

Question 13

How does back translation help me catch translation errors faster?

Accepted Answer

Back translation accelerates your quality checks by letting you review multiple languages simultaneously without switching between translation tools or waiting for bilingual reviewers. This is especially powerful for systematic error detection across languages. If you notice a source string is being mistranslated in one target language, you can quickly check whether the same issue appears in other target languages—all within minutes.

The speed advantage matters most when you’re launching new features or fixing critical bugs that need translation updates across multiple languages. Rather than waiting days to coordinate feedback from native speakers, you can identify obvious problems immediately and route only the unclear cases to human reviewers. This keeps your localization pipeline moving without sacrificing quality.

Question 14

Does back translation work for all machine translation engines in Localazy?

Accepted Answer

Back translation in Localazy’s review interface is a built-in feature that works independently of the method which originally produced the translation. Whether your translations come from machine translation engines integrated with Localazy, human contributors, or Localazy AI, the review interface always displays backward translations to help you verify quality.

The translation engine Localazy uses for back translating is Google Translate.

Question 15

Should I use back translation alone or combine it with other quality methods?

Accepted Answer

Back translation works best as part of a multi-layered quality approach, not as a standalone verification method. The right combination depends on your content type, risk tolerance, and resources.

For low-risk content or tight budgets: combine back translation with Localazy’s automated QA checks (validation for placeholders, formatting, character limits). This catches technical errors without human review costs, giving you functional translations that work reliably in your application.
For business-critical content: layer back translation, automated QA, and spot-checking by bilingual team members or native speakers. This balanced approach catches both obvious errors (via automation) and nuanced issues (via human review) without the cost of full professional translation.
For high-stakes scenarios (legal, medical, public-facing marketing): use professional human translation from qualified translators, and add proofreading as a separate quality step. Back translation can supplement this but shouldn’t replace expert human judgment where accuracy is legally or commercially critical.

Think of back translation like spell-check: invaluable for catching obvious mistakes quickly, but you wouldn’t ship important content based on spell-check alone.

Machine Translation

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