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However, they can be pricey for single users or small teams who may benefit from them as well, especially for [quality assurance](https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fqa-quality-assurance) processes.","translation-management-system-tms",[1879,1880,1882],{"id":147,"slug":333},{"id":216,"slug":1881},"cat-tool",{"id":244,"slug":316},{"id":22,"status":8,"owner":1872,"created_on":1884,"title":287,"excerpt":1885,"content":1886,"slug":1887,"meta_title":764,"meta_description":764,"canonical":764,"related_terms":1888},"2022-03-17T12:22:54.000Z","The process of transforming a text into another language.","Translation (t9n) helps people understand a given term in their native language and is a vital part of the [localization](https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Flocalization) (l10n) process.\n\nThe localization process is often the most tedious one during software developement, as you can’t just introduce a few locale-based rules in your source code.\n\nTranslating texts to another language is hard. You need to know context\u002Fmeaning. You can translate a word quickly, but without context, you can translate it the wrong way. For example, the term “book” can mean “reserve” or “piece of literature” in the Czech language. Both translations are correct, but which one is valid for a button? Context provides the right meaning.\n\n## [ISO definition of the term \"translation\"](https:\u002F\u002Fwww.iso.org\u002Fobp\u002Fui\u002F#iso:std:iso:17100:ed-1:v1:en)\n\nSet of processes to render source language content into target language content in written form.","translation",[1889,1890,1891,1892,1893],{"id":5,"slug":1833},{"id":147,"slug":333},{"id":244,"slug":316},{"id":154,"slug":1877},{"id":1894,"slug":1895},79,"internationalization",{"id":1615,"status":8,"owner":1872,"created_on":1897,"title":1898,"excerpt":1899,"content":1900,"slug":1901,"meta_title":7,"meta_description":7,"canonical":7,"related_terms":1902},"2022-03-17T12:22:57.000Z","DeepL Translator","DeepL Translator is a neural machine translation engine that leverages neural networks to convert text from one language to another. ","Jaroslaw Kutylowski first developed this [machine translation](\u002Fdictionary\u002Fmachine-translation) engine at [Linguee](https:\u002F\u002Fwww.linguee.com\u002F) and later launched it as DeepL Translator on 28 August 2017, offering translations between English, German, French, Spanish, Italian, Polish, and Dutch.\n\nToday, it [translates](\u002Fdictionary\u002Ftranslation) between 24 languages and 552 language pairs and is owned by DeepL GmbH, a company based in Cologne, Germany.\n\nThe company claims to have outperformed its competitors in self-conducted blind tests. These competitors include Google, Amazon, Microsoft, and Facebook.\n\nThe DeepL Translator is available for free at [https:\u002F\u002Fwww.deepl.com\u002Ftranslator](https:\u002F\u002Fwww.deepl.com\u002Ftranslator). However, there are some limitations on the number of translated words and other features. To remove these limitations, you can subscribe to the Pro version or use Localazy.\n\n**The DeepL translation engine is a part of the [Additional MT](\u002Fdocs\u002Fgeneral\u002Fadditional-mt-engines) feature built-in to Localazy. You can get DeepL suggestions in the translation and review interfaces or use it as a bulk translation option.** ","deepl",[1903,1904],{"id":22,"slug":1887},{"id":244,"slug":316},{"id":244,"status":8,"owner":1872,"created_on":1906,"title":1907,"excerpt":1908,"content":1909,"slug":316,"meta_title":764,"meta_description":764,"canonical":764,"related_terms":1910},"2026-05-12T07:09:22.000Z","Machine translation (MT)","The process of translating using computational linguistics.","A machine translation engine is a software tool that translates a text from one language to another without the help of human translators.\n\nMachine translation, also known as MT, is widely used as the first round of translations and is frequently very effective for short strings. However, it can produce unsatisfactory results when context knowledge is required, and thus, a human review is always advised.\n\n### 💬 Methods used in machine translation\n\nMachine translation engines recently experienced huge improvements related to the advanced use of neural networks, but they generally rely on these different methods:\n\n* [Statistical machine translation (SMT)](https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fstatistical-machine-translation\u002F \"https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fstatistical-machine-translation\u002F\")\n* [Example-based machine translation (EBMT)](https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fexample-based-machine-translation \"https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fexample-based-machine-translation\")\n* [Hybrid machine translation (HMT)](https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fhybrid-machine-translation \"https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fhybrid-machine-translation\")\n* [Neural machine translation (NMT)](https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fneural-machine-translation\u002F \"https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fneural-machine-translation\u002F\")\n\nNeural machine translation (used by [AI-powered translation](https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fai-powered-translation) engines) is the most sophisticated type of instant translation today. It uses machine learning to improve its translation capabilities. As the engine translates more text with each request, the better results it produces with time by learning. Most instant translation services use this technology.\n\n### 🔍 What's the difference between HAMT and MAHT?\n\nWithin the realm of machine translation, it’s important to distinguish between **Human-Assisted Machine Translation (HAMT)** and **Machine-Assisted Human Translation (MAHT)**:\n\n* [**Human-Assisted Machine Translation (HAMT)**](\u002Fdictionary\u002Fhuman-assisted-mt): This process involves a human reviewing translations generated by machine translation (MT) engines. It is also known as MT plus post-editing and\u002For pre-editing. The machine handles the initial translation, which is then edited by a human to improve accuracy and context. This approach is useful for projects with repetitive content and where budget or time constraints are significant.\n* [**Machine-Assisted Human Translation (MAHT)**](\u002Fdictionary\u002Fmaht): In this method, human translators use computer software to aid their work. Translators receive machine translation suggestions, but they decide how to use them. This approach allows for high translation accuracy while benefiting from features like translation glossaries and memories, which enhance the efficiency and consistency of the translation process.\n\n### 🦾 MT engines available in Localazy \n\nLocalazy users can use the most popular and advanced [MT engines](https:\u002F\u002Flocalazy.com\u002Ffeatures\u002Fmachine-translation \"https:\u002F\u002Flocalazy.com\u002Ffeatures\u002Fmachine-translation\") to translate their content:\n\n* Amazon Translate (available for free)\n* Google Translate\n* DeepL\n* Azure Translator\n* OpenAI (ChatGPT), with your own API key\n\n> *Users can unlock different engines depending on the plan they buy. See our [pricing](https:\u002F\u002Flocalazy.com\u002Fpricing) and [docs](https:\u002F\u002Flocalazy.com\u002Fdocs\u002Fgeneral\u002Fadditional-mt-engines?srsltid=AfmBOoo--lURSBHDiHEoe3rYL3xSQHaZcTsl6kd7wwUYRGC-sGTTmG94 \"https:\u002F\u002Flocalazy.com\u002Fdocs\u002Fgeneral\u002Fadditional-mt-engines?srsltid=AfmBOoo--lURSBHDiHEoe3rYL3xSQHaZcTsl6kd7wwUYRGC-sGTTmG94\") for more details.*\n\n### 📚 Additional resources:\n\n* [What is machine translation?](https:\u002F\u002Fwww.gala-global.org\u002Fwhat-machine-translation)\n* [History of machine translation](https:\u002F\u002Fen.wikipedia.org\u002Fwiki\u002FHistory_of_machine_translation)",[1911,1913,1915,1916],{"id":441,"slug":1912},"maht",{"id":1681,"slug":1914},"mtpe-machine-translation-post-editing",{"id":1615,"slug":1901},{"id":1917,"slug":1918},136,"human-assisted-mt",{"id":82,"status":1920,"owner":1872,"created_on":1873,"title":1921,"excerpt":1922,"content":1923,"slug":1924,"meta_title":7,"meta_description":7,"canonical":7,"related_terms":1925},"deleted","HAMT","Human-Assisted Machine Translation, i.e., MT plus post-editing and\u002F\nor pre-editing;","HAMT stands for Human-Assisted Machine Translation. Primarily, all the translation tasks are being done by machine translation and then they are edited by human or vice versa. A high amount of MT eliminates expensive work and can be used especially in translation projects with repetitive content.","hamt",[],{"id":441,"status":8,"owner":1872,"created_on":1873,"title":1927,"excerpt":1928,"content":1929,"slug":1912,"meta_title":764,"meta_description":764,"canonical":764,"related_terms":1930},"MAHT","Machine-Assisted Human Translation, i.e., human uses computer for\nhelp as desired.","Machine-Assisted Human Translation is probably one of the most common approaches seen nowadays in a wide variety of translation projects. MAHT allows for high translation accuracy aided by computer software for increased efficiency. For example, translators are presented with machine translation suggestions, but it is on them whether and how they will use it.\n\nIn addition, other features of common translation management systems are here to help all translation project stakeholders, such as translation glossary or translation memory.",[1931,1932,1933,1934,1936,1937],{"id":22,"slug":1887},{"id":147,"slug":333},{"id":244,"slug":316},{"id":274,"slug":1935},"htlgi",{"id":154,"slug":1877},{"id":269,"slug":254},{"id":278,"status":8,"owner":1872,"created_on":1939,"title":1940,"excerpt":1941,"content":1942,"slug":1943,"meta_title":764,"meta_description":764,"canonical":764,"related_terms":1944},"2026-05-12T07:09:23.000Z","Machine learning (ML)","A branch of artificial intelligence that uses algorithms to look for patterns and make predictions, deciding things like what recommendations to show you.","Machine learning (ML) utilizes computers to solve practical problems without necessarily having to write explicit code. It is what made self-driving cars, practical speech recognition, effective web search, and a better understanding of the human genome possible.\n\nThis branch of artificial intelligence uses algorithms to look for patterns and make predictions, deciding on things like what recommendations to show you on Netflix.\n\nArthur Samuel, the inventor of the checkers playing program \"Beaver\" and an early computer expert at IBM and Carnegie Mellon University, is credited for coining the term. \n\nAutomation and ML are ideal solutions in cases where we can apply a data-defined pattern or set of rules. By now, you probably use machine learning so many times a day that you don't even notice it anymore.\n\n### ⚙️ Techniques used in ML\n\nThere are two main techniques used in machine learning:\n\n* **Supervised learning**: The idea behind supervised learning is to mimic the way humans learn. Supervised learning uses dynamic adjustments to the model, much like humans build knowledge on what they've learned in the past.\n* **Unsupervised learning**: When you're exploring a large amount of data, unsupervised machine learning can be very helpful. One way to think of unsupervised learning is to imagine that a computer has been placed in a room full of data and is being asked to discover patterns on its own.\n\nMany researchers think the best way for computers to approach human-level intelligence is through a series of stepwise refinements in the development of AI.\n\n[Machine translation engines](\u002Fdictionary\u002Fmachine-translation) have evolved over time to use machine learning principles instead of a simple word-by-word approach to provide more accurate translations. \n\n> *Localazy includes suggestions from the most popular machine translation engines such as [DeepL that utilize machine learning in the background](\u002Fdictionary\u002Fdeepl) so translators can deliver their work more efficiently.*\n\n### 📚 Further reading\n\n* Learn more about [machine translation suggestions built-in to Localazy](\u002Fdocs\u002Fgeneral\u002Fadditional-mt-engines).\n* Learn more about [Netflix's machine learning algorithms behind their recommendation system](https:\u002F\u002Ftowardsdatascience.com\u002Fdeep-dive-into-netflixs-recommender-system-341806ae3b48).\n* You can learn about IBM's rich history in machine learning [here](https:\u002F\u002Fwww.ibm.com\u002Fibm\u002Fhistory\u002Fibm100\u002Fus\u002Fen\u002Ficons\u002Fibm700series\u002Fimpacts\u002F).","machine-learning-ml",[1945,1946],{"id":244,"slug":316},{"id":1615,"slug":1901},{"id":5,"status":8,"owner":1872,"created_on":1884,"title":217,"excerpt":1948,"content":1949,"slug":1833,"meta_title":7,"meta_description":7,"canonical":7,"related_terms":1950},"The process of preparing a product for a particular market.","Localization (l10n) is an essential part of the **[internationalization](https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Finternationalization)** process. During localization, a product is prepared to be used in a particular destination, language and culture. Part of the localization process consists of changing locales such as currency, text orientation, or date format; and aligning the product with local, technical, or legislative requirements.\n\nA crucial part of localization is **[translation](https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Ftranslation\u002F)**.\n\nLocalization is the process of adapting an internationalized product to meet the specific needs of a target market by translating it into the native language of that market. This includes translating the user interface, text, graphics, and other content to match the specific target locale.\n\nThe goal of localization is to provide an optimal user experience for the target market, as well as to make the product accessible to a wider audience. This process often involves more than just translation, and may include adjusting graphics, changing text length to accommodate different writing systems, and modifying the product's layout to fit cultural differences.\n\nInternationalization and localization are essential components of **[globalization](https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fglobalization)** (g11n) and play a key role in expanding a product's reach and success. It's important to ensure that any Creative Commons attribution is considered during localization to prevent copyright infringement.\n\nBy localizing products, companies can reach new markets and increase their customer base, ultimately helping their business grow and thrive. The number of letters in the term i18n and l10n refers to the number of characters between the first and last letters in the term, and is used as a shorthand for internationalization and localization, respectively.",[1951,1952,1953,1955,1956],{"id":5,"slug":1833},{"id":22,"slug":1887},{"id":101,"slug":1954},"gilt",{"id":154,"slug":1877},{"id":1894,"slug":1895},"The last few months have been exciting for the translation and localization market. With ChatGPT swooshing into the scene and mesmerizing everyone with its abilities, we anxiously anticipate the future of AI. Will ChatGPT take our jobs? Let's review the current state of AI in translation.","\u003Cp>Will the world need Localazy and human translators for our services? Or will AI-based tools take our ice cream, leaving us all crying like innocent children? 🤯\u003C\u002Fp>\u003Cp>Slow down. We're about to break the myth of ChatGPT and its fellas. Our team of developers working hasn't flinched since the magician stepped on the scene.\u003C\u002Fp>\u003Cp>That's because they know that behind every 🪄 magician, there are a few logical acts the audience doesn't see. And in this case, it's still merely ones and zeros working in the background.\u003C\u002Fp>\u003Cp>However, since translation is a vast topic, we'll discuss the effectiveness of AI translations in the translation and localization of your assets. But for starters, let us first define what we mean by AI translation.\u003C\u002Fp>\u003Ch2 id=\"what-is-ai-in-translation\">🤔 What is AI in translation?  \u003Ca class=\"markdownit-header-anchor\" href=\"#what-is-ai-in-translation\">🔗\u003C\u002Fa>\u003C\u002Fh2>\u003Cp>Taking Artificial Intelligence to power your translation process is a strategically wise decision. But what does go under the hood of the AI translation tech?\u003C\u002Fp>\u003Cp>The combination of \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fmachine-learning\">machine learning\u003C\u002Fa> algorithms and neural networks paired to output a suitable translation from one language to the other makes the translation process possible in an AI-based tech. AI models are trained on large amounts of multilingual data and are instructed to distinguish patterns and deliver matching translations.\u003C\u002Fp>\u003Cp>With the pompous news on ChatGPT and other similar Large Language Models (LLM), you're probably wondering if AI is just a buzzword or a well-trained neural network capable of delivering smart outputs. Well, in the way it's portrayed now, as a substitute for human intelligence, it's definitely a buzzword.\u003C\u002Fp>\u003Cp>The concept of Artificial Intelligence in tools like ChatGPT sounds a bit like a fantasy fiction term, and it doesn't correctly describe the tech behind it. For clarity, it's best to stick to the terms machine learning and neural network.\u003C\u002Fp>\u003Cp>Despite AI models like ChatGPT being good at producing acceptable translations, we shouldn't forget that they lack a nuanced and culturally aware understanding of a human translator and can't yet operate in the context of the project with as much accuracy as humans do.\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2023\u002F08\u002Fimage.png\" class=\"kg-image\" alt loading=\"lazy\" width=\"1125\" height=\"750\" srcset=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw600\u002F2023\u002F08\u002Fimage.png 600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1000\u002F2023\u002F08\u002Fimage.png 1000w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2023\u002F08\u002Fimage.png 1125w\" sizes=\"(min-width: 720px) 720px\">\u003C\u002Ffigure>\u003Ch2 id=\"cons-when-its-a-bad-idea-to-use-ai-translations\">❌ Cons: When it's a bad idea to use AI translations  \u003Ca class=\"markdownit-header-anchor\" href=\"#cons-when-its-a-bad-idea-to-use-ai-translations\">🔗\u003C\u002Fa>\u003C\u002Fh2>\u003Cp>To pick where we left off, the translation output from an AI model is often blunt, too verbatim, and lacks emotion. If you think you'd be all good translating your website or app by using ChatGPT, you're better off using DeepL, which is a translation engine fueled by machine learning. AI translation comes with considerable downsides:\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cstrong>Almost zero cultural context. \u003C\u002Fstrong>Not considering cultural differences when translating text can lead to inappropriate and even offensive translations. AI translations are incapable of respecting cultural differences.\u003C\u002Fli>\u003Cli>\u003Cstrong>Private data can fall into the hacker's hands.\u003C\u002Fstrong> Data leaks are common in the internet age, and this risk becomes even more probable when you input all your private data into well-known AI tools like ChatGPT. Even big companies restrict employees from \u003Cu>\u003Ca href=\"https:\u002F\u002Fwww.wsj.com\u002Farticles\u002Fapple-restricts-use-of-chatgpt-joining-other-companies-wary-of-leaks-d44d7d34?mod=djemalertNEWS\" rel=\"noopener noreferrer\">using ChatGPT due to data privacy concerns\u003C\u002Fa>\u003C\u002Fu>.\u003C\u002Fli>\u003Cli>\u003Cstrong>Domain-specific translations require human expertise.\u003C\u002Fstrong> When it comes to translating highly technical content in the domains of healthcare or law, AI translations lack the depth of knowledge which is gained only by experience.\u003C\u002Fli>\u003Cli>\u003Cstrong>Unable to consider the linguistic context.\u003C\u002Fstrong> Linguistic context is vital to accurately translate humor, puns, idioms, wordplay, irony, sarcasm, etc. AI translators are unable to understand these nuances of human language.\u003C\u002Fli>\u003C\u002Ful>\u003Cp>Tools such as ChatGPT are great for low-risk translations. We can't say even short translations because that would imply using it for microcopy localization is a good idea. \u003C\u002Fp>\u003Cp>UX and UI writing requires close attention to detail and leaves no space for fluff, which is pretty common when using ChatGPT. The role of context in translation is crucial, and ChatGPT doesn't ingest enough context from the fed data when producing translations.\u003C\u002Fp>\u003Cblockquote>Learn more about digital product localization with \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Ftags\u002Ffigma\">Figma and Localazy\u003C\u002Fa>\u003C\u002Fblockquote>\u003Cp>If you're considering using AI on personal projects or general blog content that doesn't contain much depth or importance, these downsides might appear insignificant. While you need to be careful when relying on it for large projects, there are definitely some positive aspects about it worth mentioning.\u003C\u002Fp>\u003Ch2 id=\"pros-when-its-a-good-idea-to-use-ai-translations\">✅ Pros: When it's a good idea to use AI translations  \u003Ca class=\"markdownit-header-anchor\" href=\"#pros-when-its-a-good-idea-to-use-ai-translations\">🔗\u003C\u002Fa>\u003C\u002Fh2>\u003Cp>AI might fail as a sole translator, but it is an efficient assistant to a skilled human translator. Human expertise and guidance can change the quality of the translations outputted by AI tools. Tools like ChatGPT might not produce a final version of the translation, but they're great at providing initial translations and even assisting the translator in recalling certain concepts and words. Some noticeable benefits here are:\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cstrong>Lighting speed translations. \u003C\u002Fstrong>AI translation tools surpass the average pace of a human translator by 1000x. This means you'll have more time to spend on editing, perfecting those translations, and meeting deadlines.\u003C\u002Fli>\u003Cli>\u003Cstrong>AI translation costs are affordable. \u003C\u002Fstrong>AI translation tools require a small investment compared to hiring a professional translator. Therefore, they're an ideal choice if you have a small budget for your project.\u003C\u002Fli>\u003Cli>\u003Cstrong>Translations from multiple fields are supported.\u003C\u002Fstrong> AI models have been trained on a massive corpus of knowledge, enabling them to translate content from various fields. Human translators are rarely experienced in more than one field.\u003C\u002Fli>\u003Cli>\u003Cstrong>Accessible and flexible implementation. \u003C\u002Fstrong>Using specific plug-ins and integrations, you can integrate AI-based tools like ChatGPT to translate content from multiple mediums and platforms without human intervention.\u003C\u002Fli>\u003C\u002Ful>\u003Cp>These are some of the positive aspects of integrating AI or \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fmachine-translation\">machine translation\u003C\u002Fa> into your localization workflow, but they certainly come with their own limitations, especially if you're using ChatGPT.\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2023\u002F08\u002Fimage-1.png\" class=\"kg-image\" alt loading=\"lazy\" width=\"1125\" height=\"750\" srcset=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw600\u002F2023\u002F08\u002Fimage-1.png 600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1000\u002F2023\u002F08\u002Fimage-1.png 1000w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2023\u002F08\u002Fimage-1.png 1125w\" sizes=\"(min-width: 720px) 720px\">\u003C\u002Ffigure>\u003Ch2 id=\"the-limitations-of-chatgpt\">🤖 The limitations of ChatGPT \u003Ca class=\"markdownit-header-anchor\" href=\"#the-limitations-of-chatgpt\">🔗\u003C\u002Fa>\u003C\u002Fh2>\u003Ch3 id=\"why-it-wont-resolve-your-translation-needs-at-scale\">Why it won't resolve your translation needs at scale \u003Ca class=\"markdownit-header-anchor\" href=\"#why-it-wont-resolve-your-translation-needs-at-scale\">🔗\u003C\u002Fa>\u003C\u002Fh3>\u003Cp>The first obstacle stands in the fact that ChatGPT relies on pre-existing training data, and its knowledge is limited to what it has been trained on.\u003C\u002Fp>\u003Cp>As a result, its translations may not always be as accurate or contextually nuanced as those provided by human translators. ChatGPT lacks the ability to fully comprehend complex linguistic structures, cultural nuances, and industry-specific terminology, which are crucial for delivering high-quality translations, particularly in specialized domains.\u003C\u002Fp>\u003Cp>Therefore, for large-scale translation projects or situations requiring precise and contextually accurate translations, it's best to rely on professional translation services or dedicated translation software designed explicitly for such purposes.\u003C\u002Fp>\u003Cp>Relying solely on AI models for extensive translation projects will lead to subpar results. And we'll see why below. Instead, it's crucial to leverage human expertise to ensure high-quality translations that resonate with your target audience.\u003C\u002Fp>\u003Ch3 id=\"why-chatgpt-wont-replace-your-tms\">Why ChatGPT won't replace your TMS \u003Ca class=\"markdownit-header-anchor\" href=\"#why-chatgpt-wont-replace-your-tms\">🔗\u003C\u002Fa>\u003C\u002Fh3>\u003Cp>Another thing to consider when dealing with translations and localization is managing and facilitating translations. ChatGPT and other AI translation tools are simple input\u002Foutput machines. While they are advancing really fast and can spit out quite impressive results in an instant, the usual problems associated with translation management still need to be solved elsewhere. \u003C\u002Fp>\u003Cp>Platforms such as Localazy and other specialized \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fterm\u002Ftranslation-management-system\">translation management systems\u003C\u002Fa> are vital for any long-term translation project. Translations need to be updated when the source texts change. You have to keep track of what is translated and not and \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Ffeatures\u002Fcontext-screenshots-ocr\">see the texts in their context\u003C\u002Fa>. That's why you need a place to see the state of things and tools that will allow you to go back to certain texts, make updates quickly and see the progress. \u003C\u002Fp>\u003Cp>If you need to translate your text quickly and be done with it, sure, copy-paste the results from ChatGPT or \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fdeepl\">DeepL\u003C\u002Fa> once, and you can forget about it. But for ongoing maintenance of translations, tools like Localazy are your best bet; most of them already have AI tools implemented somehow.\u003C\u002Fp>\u003Ch2 id=\"what-about-google-translate-and-deepl\">⛳ What about Google Translate and DeepL? \u003Ca class=\"markdownit-header-anchor\" href=\"#what-about-google-translate-and-deepl\">🔗\u003C\u002Fa>\u003C\u002Fh2>\u003Cp>Google Translate and DeepL are popular machine translation tools that utilize AI technology. They have made significant strides in improving translation quality, and \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fdeepl\" rel=\"noopener noreferrer\">\u003Cu>DeepL has advanced significantly\u003C\u002Fu>\u003C\u002Fa> by integrating a neural network powered by machine learning. Think of it as a ChatGPT but dedicated to translations.\u003C\u002Fp>\u003Cp>The tool hasn't gone viral because it can't chat with us as ChatGPT does, and its specialty remains only translation. But if you would consider integrating one tool to assist in your localization process, DeepL is a reasonable option. Even if you're not using it for final translations, it's helpful as an assistive technology to provide context.\u003C\u002Fp>\u003Cblockquote>Google Translate and DeepL are built-in to the Localazy platform and available for \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Ffeatures\u002Fpre-translate\">pre-translate\u003C\u002Fa> and \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fdocs\u002Fgeneral\u002Fadditional-mt-engines\">translation suggestions\u003C\u002Fa> for all customers on the \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Ftiers\u002Fautopilot\">Autopilot\u003C\u002Fa> plan and above.\u003C\u002Fblockquote>\u003Cp>Both Google Translate and DeepL excel at providing quick and basic translations, but they may struggle with maintaining the tone, capturing \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Fhow-to-translate-idioms-the-right-way\">idiomatic expressions\u003C\u002Fa>, and delivering accurate translations for specialized content. These tools can serve as a starting point for simple translations, but for professional and nuanced translations, human translators remain essential.\u003C\u002Fp>\u003Ch2 id=\"where-does-chatgpt-help\">🦾 Where does ChatGPT help?  \u003Ca class=\"markdownit-header-anchor\" href=\"#where-does-chatgpt-help\">🔗\u003C\u002Fa>\u003C\u002Fh2>\u003Cp>Despite its limitations in large-scale translation, ChatGPT can still be valuable in certain translation-related scenarios. ChatGPT can serve as a helpful tool for translators by providing quick and on-the-spot translations for simple and straightforward content, such as short phrases, sentences, or basic communication with clients.\u003C\u002Fp>\u003Cp>However, it is important to keep in mind that for more complex or critical translation tasks, seeking professional human translation services or utilizing specialized translation tools is still the recommended approach.\u003C\u002Fp>\u003Cp>Our \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fdocs\u002Fgeneral\u002Fcontinuous-localization-team\" rel=\"noopener noreferrer\">\u003Cu>Continuous Localization Team\u003C\u002Fu>\u003C\u002Fa> offers unmatched translation services for your business while using the best of both worlds: sophisticated tech and human provision.\u003C\u002Fp>\u003Ch2 id=\"how-to-choose-the-right-translation-tech\">👩‍💻 How to choose the right translation tech \u003Ca class=\"markdownit-header-anchor\" href=\"#how-to-choose-the-right-translation-tech\">🔗\u003C\u002Fa>\u003C\u002Fh2>\u003Cp>The key to successful translation lies in using the appropriate technology where it is needed. AI-powered tools can be valuable assets for quick translations, content generation, or localization assistance.\u003C\u002Fp>\u003Cp>However, professional human translators with subject matter expertise are indispensable for critical business materials, legal documents, UI & UX copy, technical blogs, and other context-sensitive content. Combining AI and human expertise can yield superior results, ensuring accuracy, precision, and cultural sensitivity.\u003C\u002Fp>\u003Cblockquote>Learn more about our \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Fguide-localazy-translation-services\">translation services combining machine translations with human touch\u003C\u002Fa>.\u003C\u002Fblockquote>\u003Cp>And as we said earlier: Even if AI translations produced with ChatGPT are acceptable, integrating it for large-scale translation projects where you have tens of thousands of \u003Cu>\u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Ffaq\u002Fpricing\u002Fwhat-are-source-keys\" rel=\"noopener noreferrer\">source keys\u003C\u002Fa>\u003C\u002Fu> to translate and manage isn't suitable. And version control issues begin at a low number of source keys and even when adding a single additional language. Its integration seeks a well-structured localization workflow if you want to use it on a scale.\u003C\u002Fp>\u003Cp>Ideally, the best integration of machine learning as one of the core components of AI is to use it alongside Human Translations. The combination of MT & Human Translations helps achieve Human Assisted Machine Translation (\u003Cu>\u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fhuman-assisted-mt\">HAMT\u003C\u002Fa>\u003C\u002Fu>) and Machine Assisted Human Translation (\u003Cu>\u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fmaht\" rel=\"noopener noreferrer\">MAHT\u003C\u002Fa>\u003C\u002Fu>). Both of them led to refined translations.\u003C\u002Fp>\u003Ch2 id=\"final-thoughts\">✔️ Final thoughts \u003Ca class=\"markdownit-header-anchor\" href=\"#final-thoughts\">🔗\u003C\u002Fa>\u003C\u002Fh2>\u003Cp>Choosing the proper translation technology is vital for achieving your marketing goals. While AI has somewhat transformed the translation landscape, it's crucial to recognize its limitations and leverage it in conjunction with human expertise and proper management tools. Unless an expert is involved in the translation process, translations will be bland and generic.\u003C\u002Fp>\u003Cp>However, by matching the right AI-powered tools with professional translators, you have more chances of producing refined translations no matter the scale of the project. While tools like ChatGPT are captivating, remember that a jack-of-all-trades is often a master of none. \u003C\u002Fp>",{"id":286,"status":8,"created_on":1960,"modified_on":1961,"icon":1962,"header":1963,"description":1964,"button_label":1965,"link":1966},"2022-03-17T12:23:03.000Z","2023-01-19T11:50:04.000Z","member","Automate your localization today! ⚙️","Translate your project in a breeze, utilize the advanced features and fully automate your localization process with Localazy! ","Join Localazy","register",{"slug":1860,"id":1853,"uuid":1968,"title":1859,"html":1969,"comment_id":1853,"feature_image":1863,"featured":17,"visibility":1970,"email_recipient_filter":1971,"created_at":1972,"updated_at":1861,"published_at":1862,"custom_excerpt":1957,"codeinjection_head":7,"codeinjection_foot":7,"custom_template":7,"canonical_url":7,"authors":1973,"tags":1979,"primary_author":2046,"primary_tag":2047,"url":2048,"excerpt":1957,"reading_time":147,"access":17,"send_email_when_published":15,"og_image":7,"og_title":7,"og_description":7,"twitter_image":7,"twitter_title":7,"twitter_description":7,"meta_title":7,"meta_description":7,"email_subject":7,"frontmatter":7,"dictionary":1870,"cta":1959,"plainTags":1864},"eaf94974-e1f6-490a-8ff8-81a986bbeb6d","\u003Cp>Will the world need Localazy and human translators for our services? Or will AI-based tools take our ice cream, leaving us all crying like innocent children? 🤯\u003C\u002Fp>\u003Cp>Slow down. We're about to break the myth of ChatGPT and its fellas. Our team of developers working hasn't flinched since the magician stepped on the scene.\u003C\u002Fp>\u003Cp>That's because they know that behind every 🪄 magician, there are a few logical acts the audience doesn't see. And in this case, it's still merely ones and zeros working in the background.\u003C\u002Fp>\u003Cp>However, since translation is a vast topic, we'll discuss the effectiveness of AI translations in the translation and localization of your assets. But for starters, let us first define what we mean by AI translation.\u003C\u002Fp>\u003Ch2 id=\"%F0%9F%A4%94-what-is-ai-in-translation\">🤔 What is AI in translation? \u003C\u002Fh2>\u003Cp>Taking Artificial Intelligence to power your translation process is a strategically wise decision. But what does go under the hood of the AI translation tech?\u003C\u002Fp>\u003Cp>The combination of \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fmachine-learning\">machine learning\u003C\u002Fa> algorithms and neural networks paired to output a suitable translation from one language to the other makes the translation process possible in an AI-based tech. AI models are trained on large amounts of multilingual data and are instructed to distinguish patterns and deliver matching translations.\u003C\u002Fp>\u003Cp>With the pompous news on ChatGPT and other similar Large Language Models (LLM), you're probably wondering if AI is just a buzzword or a well-trained neural network capable of delivering smart outputs. Well, in the way it's portrayed now, as a substitute for human intelligence, it's definitely a buzzword.\u003C\u002Fp>\u003Cp>The concept of Artificial Intelligence in tools like ChatGPT sounds a bit like a fantasy fiction term, and it doesn't correctly describe the tech behind it. For clarity, it's best to stick to the terms machine learning and neural network.\u003C\u002Fp>\u003Cp>Despite AI models like ChatGPT being good at producing acceptable translations, we shouldn't forget that they lack a nuanced and culturally aware understanding of a human translator and can't yet operate in the context of the project with as much accuracy as humans do.\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2023\u002F08\u002Fimage.png\" class=\"kg-image\" alt loading=\"lazy\" width=\"1125\" height=\"750\" srcset=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw600\u002F2023\u002F08\u002Fimage.png 600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1000\u002F2023\u002F08\u002Fimage.png 1000w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2023\u002F08\u002Fimage.png 1125w\" sizes=\"(min-width: 720px) 720px\">\u003C\u002Ffigure>\u003Ch2 id=\"%E2%9D%8C-cons-when-its-a-bad-idea-to-use-ai-translations\">❌ Cons: When it's a bad idea to use AI translations \u003C\u002Fh2>\u003Cp>To pick where we left off, the translation output from an AI model is often blunt, too verbatim, and lacks emotion. If you think you'd be all good translating your website or app by using ChatGPT, you're better off using DeepL, which is a translation engine fueled by machine learning. AI translation comes with considerable downsides:\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cstrong>Almost zero cultural context. \u003C\u002Fstrong>Not considering cultural differences when translating text can lead to inappropriate and even offensive translations. AI translations are incapable of respecting cultural differences.\u003C\u002Fli>\u003Cli>\u003Cstrong>Private data can fall into the hacker's hands.\u003C\u002Fstrong> Data leaks are common in the internet age, and this risk becomes even more probable when you input all your private data into well-known AI tools like ChatGPT. Even big companies restrict employees from \u003Cu>\u003Ca href=\"https:\u002F\u002Fwww.wsj.com\u002Farticles\u002Fapple-restricts-use-of-chatgpt-joining-other-companies-wary-of-leaks-d44d7d34?mod=djemalertNEWS\" rel=\"noopener noreferrer\">using ChatGPT due to data privacy concerns\u003C\u002Fa>\u003C\u002Fu>.\u003C\u002Fli>\u003Cli>\u003Cstrong>Domain-specific translations require human expertise.\u003C\u002Fstrong> When it comes to translating highly technical content in the domains of healthcare or law, AI translations lack the depth of knowledge which is gained only by experience.\u003C\u002Fli>\u003Cli>\u003Cstrong>Unable to consider the linguistic context.\u003C\u002Fstrong> Linguistic context is vital to accurately translate humor, puns, idioms, wordplay, irony, sarcasm, etc. AI translators are unable to understand these nuances of human language.\u003C\u002Fli>\u003C\u002Ful>\u003Cp>Tools such as ChatGPT are great for low-risk translations. We can't say even short translations because that would imply using it for microcopy localization is a good idea. \u003C\u002Fp>\u003Cp>UX and UI writing requires close attention to detail and leaves no space for fluff, which is pretty common when using ChatGPT. The role of context in translation is crucial, and ChatGPT doesn't ingest enough context from the fed data when producing translations.\u003C\u002Fp>\u003Cblockquote>Learn more about digital product localization with \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Ftags\u002Ffigma\">Figma and Localazy\u003C\u002Fa>\u003C\u002Fblockquote>\u003Cp>If you're considering using AI on personal projects or general blog content that doesn't contain much depth or importance, these downsides might appear insignificant. While you need to be careful when relying on it for large projects, there are definitely some positive aspects about it worth mentioning.\u003C\u002Fp>\u003Ch2 id=\"%E2%9C%85-pros-when-its-a-good-idea-to-use-ai-translations\">✅ Pros: When it's a good idea to use AI translations \u003C\u002Fh2>\u003Cp>AI might fail as a sole translator, but it is an efficient assistant to a skilled human translator. Human expertise and guidance can change the quality of the translations outputted by AI tools. Tools like ChatGPT might not produce a final version of the translation, but they're great at providing initial translations and even assisting the translator in recalling certain concepts and words. Some noticeable benefits here are:\u003C\u002Fp>\u003Cul>\u003Cli>\u003Cstrong>Lighting speed translations. \u003C\u002Fstrong>AI translation tools surpass the average pace of a human translator by 1000x. This means you'll have more time to spend on editing, perfecting those translations, and meeting deadlines.\u003C\u002Fli>\u003Cli>\u003Cstrong>AI translation costs are affordable. \u003C\u002Fstrong>AI translation tools require a small investment compared to hiring a professional translator. Therefore, they're an ideal choice if you have a small budget for your project.\u003C\u002Fli>\u003Cli>\u003Cstrong>Translations from multiple fields are supported.\u003C\u002Fstrong> AI models have been trained on a massive corpus of knowledge, enabling them to translate content from various fields. Human translators are rarely experienced in more than one field.\u003C\u002Fli>\u003Cli>\u003Cstrong>Accessible and flexible implementation. \u003C\u002Fstrong>Using specific plug-ins and integrations, you can integrate AI-based tools like ChatGPT to translate content from multiple mediums and platforms without human intervention.\u003C\u002Fli>\u003C\u002Ful>\u003Cp>These are some of the positive aspects of integrating AI or \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fmachine-translation\">machine translation\u003C\u002Fa> into your localization workflow, but they certainly come with their own limitations, especially if you're using ChatGPT.\u003C\u002Fp>\u003Cfigure class=\"kg-card kg-image-card\">\u003Cimg src=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2023\u002F08\u002Fimage-1.png\" class=\"kg-image\" alt loading=\"lazy\" width=\"1125\" height=\"750\" srcset=\"https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw600\u002F2023\u002F08\u002Fimage-1.png 600w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002Fsize\u002Fw1000\u002F2023\u002F08\u002Fimage-1.png 1000w, https:\u002F\u002Fghost.localazy.com\u002Fcontent\u002Fimages\u002F2023\u002F08\u002Fimage-1.png 1125w\" sizes=\"(min-width: 720px) 720px\">\u003C\u002Ffigure>\u003Ch2 id=\"%F0%9F%A4%96-the-limitations-of-chatgpt\">🤖 The limitations of ChatGPT\u003C\u002Fh2>\u003Ch3 id=\"why-it-wont-resolve-your-translation-needs-at-scale\">Why it won't resolve your translation needs at scale\u003C\u002Fh3>\u003Cp>The first obstacle stands in the fact that ChatGPT relies on pre-existing training data, and its knowledge is limited to what it has been trained on.\u003C\u002Fp>\u003Cp>As a result, its translations may not always be as accurate or contextually nuanced as those provided by human translators. ChatGPT lacks the ability to fully comprehend complex linguistic structures, cultural nuances, and industry-specific terminology, which are crucial for delivering high-quality translations, particularly in specialized domains.\u003C\u002Fp>\u003Cp>Therefore, for large-scale translation projects or situations requiring precise and contextually accurate translations, it's best to rely on professional translation services or dedicated translation software designed explicitly for such purposes.\u003C\u002Fp>\u003Cp>Relying solely on AI models for extensive translation projects will lead to subpar results. And we'll see why below. Instead, it's crucial to leverage human expertise to ensure high-quality translations that resonate with your target audience.\u003C\u002Fp>\u003Ch3 id=\"why-chatgpt-wont-replace-your-tms\">Why ChatGPT won't replace your TMS\u003C\u002Fh3>\u003Cp>Another thing to consider when dealing with translations and localization is managing and facilitating translations. ChatGPT and other AI translation tools are simple input\u002Foutput machines. While they are advancing really fast and can spit out quite impressive results in an instant, the usual problems associated with translation management still need to be solved elsewhere. \u003C\u002Fp>\u003Cp>Platforms such as Localazy and other specialized \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fterm\u002Ftranslation-management-system\">translation management systems\u003C\u002Fa> are vital for any long-term translation project. Translations need to be updated when the source texts change. You have to keep track of what is translated and not and \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Ffeatures\u002Fcontext-screenshots-ocr\">see the texts in their context\u003C\u002Fa>. That's why you need a place to see the state of things and tools that will allow you to go back to certain texts, make updates quickly and see the progress. \u003C\u002Fp>\u003Cp>If you need to translate your text quickly and be done with it, sure, copy-paste the results from ChatGPT or \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fdeepl\">DeepL\u003C\u002Fa> once, and you can forget about it. But for ongoing maintenance of translations, tools like Localazy are your best bet; most of them already have AI tools implemented somehow.\u003C\u002Fp>\u003Ch2 id=\"%E2%9B%B3-what-about-google-translate-and-deepl\">⛳ What about Google Translate and DeepL?\u003C\u002Fh2>\u003Cp>Google Translate and DeepL are popular machine translation tools that utilize AI technology. They have made significant strides in improving translation quality, and \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fdeepl\" rel=\"noopener noreferrer\">\u003Cu>DeepL has advanced significantly\u003C\u002Fu>\u003C\u002Fa> by integrating a neural network powered by machine learning. Think of it as a ChatGPT but dedicated to translations.\u003C\u002Fp>\u003Cp>The tool hasn't gone viral because it can't chat with us as ChatGPT does, and its specialty remains only translation. But if you would consider integrating one tool to assist in your localization process, DeepL is a reasonable option. Even if you're not using it for final translations, it's helpful as an assistive technology to provide context.\u003C\u002Fp>\u003Cblockquote>Google Translate and DeepL are built-in to the Localazy platform and available for \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Ffeatures\u002Fpre-translate\">pre-translate\u003C\u002Fa> and \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fdocs\u002Fgeneral\u002Fadditional-mt-engines\">translation suggestions\u003C\u002Fa> for all customers on the \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Ftiers\u002Fautopilot\">Autopilot\u003C\u002Fa> plan and above.\u003C\u002Fblockquote>\u003Cp>Both Google Translate and DeepL excel at providing quick and basic translations, but they may struggle with maintaining the tone, capturing \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Fhow-to-translate-idioms-the-right-way\">idiomatic expressions\u003C\u002Fa>, and delivering accurate translations for specialized content. These tools can serve as a starting point for simple translations, but for professional and nuanced translations, human translators remain essential.\u003C\u002Fp>\u003Ch2 id=\"%F0%9F%A6%BE-where-does-chatgpt-help\">🦾 Where does ChatGPT help? \u003C\u002Fh2>\u003Cp>Despite its limitations in large-scale translation, ChatGPT can still be valuable in certain translation-related scenarios. ChatGPT can serve as a helpful tool for translators by providing quick and on-the-spot translations for simple and straightforward content, such as short phrases, sentences, or basic communication with clients.\u003C\u002Fp>\u003Cp>However, it is important to keep in mind that for more complex or critical translation tasks, seeking professional human translation services or utilizing specialized translation tools is still the recommended approach.\u003C\u002Fp>\u003Cp>Our \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fdocs\u002Fgeneral\u002Fcontinuous-localization-team\" rel=\"noopener noreferrer\">\u003Cu>Continuous Localization Team\u003C\u002Fu>\u003C\u002Fa> offers unmatched translation services for your business while using the best of both worlds: sophisticated tech and human provision.\u003C\u002Fp>\u003Ch2 id=\"%F0%9F%91%A9%E2%80%8D%F0%9F%92%BB-how-to-choose-the-right-translation-tech\">👩‍💻 How to choose the right translation tech\u003C\u002Fh2>\u003Cp>The key to successful translation lies in using the appropriate technology where it is needed. AI-powered tools can be valuable assets for quick translations, content generation, or localization assistance.\u003C\u002Fp>\u003Cp>However, professional human translators with subject matter expertise are indispensable for critical business materials, legal documents, UI & UX copy, technical blogs, and other context-sensitive content. Combining AI and human expertise can yield superior results, ensuring accuracy, precision, and cultural sensitivity.\u003C\u002Fp>\u003Cblockquote>Learn more about our \u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fblog\u002Fguide-localazy-translation-services\">translation services combining machine translations with human touch\u003C\u002Fa>.\u003C\u002Fblockquote>\u003Cp>And as we said earlier: Even if AI translations produced with ChatGPT are acceptable, integrating it for large-scale translation projects where you have tens of thousands of \u003Cu>\u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Ffaq\u002Fpricing\u002Fwhat-are-source-keys\" rel=\"noopener noreferrer\">source keys\u003C\u002Fa>\u003C\u002Fu> to translate and manage isn't suitable. And version control issues begin at a low number of source keys and even when adding a single additional language. Its integration seeks a well-structured localization workflow if you want to use it on a scale.\u003C\u002Fp>\u003Cp>Ideally, the best integration of machine learning as one of the core components of AI is to use it alongside Human Translations. The combination of MT & Human Translations helps achieve Human Assisted Machine Translation (\u003Cu>\u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fhuman-assisted-mt\">HAMT\u003C\u002Fa>\u003C\u002Fu>) and Machine Assisted Human Translation (\u003Cu>\u003Ca href=\"https:\u002F\u002Flocalazy.com\u002Fdictionary\u002Fmaht\" rel=\"noopener noreferrer\">MAHT\u003C\u002Fa>\u003C\u002Fu>). Both of them led to refined translations.\u003C\u002Fp>\u003Ch2 id=\"%E2%9C%94%EF%B8%8F-final-thoughts\">✔️ Final thoughts\u003C\u002Fh2>\u003Cp>Choosing the proper translation technology is vital for achieving your marketing goals. While AI has somewhat transformed the translation landscape, it's crucial to recognize its limitations and leverage it in conjunction with human expertise and proper management tools. Unless an expert is involved in the translation process, translations will be bland and generic.\u003C\u002Fp>\u003Cp>However, by matching the right AI-powered tools with professional translators, you have more chances of producing refined translations no matter the scale of the project. While tools like ChatGPT are captivating, remember that a jack-of-all-trades is often a master of none. \u003C\u002Fp>","public","none","2023-06-29T22:30:36.000+02:00",[1974],{"id":1855,"name":1856,"slug":1857,"profile_image":1858,"cover_image":7,"bio":1975,"website":7,"location":1976,"facebook":7,"twitter":1977,"meta_title":7,"meta_description":7,"url":1978},"Marketing strategist writing about about SaaS, languages, and localization. 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