The ChatGPT revolution is here, but is the AI chatbot a viable option for your translation projects?
ChatGPT generates human-like responses to a wide range of inputs by using natural language processing algorithms. And much like Google Translate, you can also use it for translation.
AI translation is already a prevalent tool among language professionals. It helps them complete jobs faster and to create more cost-effective translation processes and workflows.
ChatGPT might not yet be an absolute gamechanger, but it can certainly disrupt the translation industry.
But, as we’ll discuss below, human intervention remains key, especially in the verification stages.
Power of ChatGPT for the Translation Market
ChatGPT generates human-like responses to a wide range of inputs by using natural language processing algorithms.
You can also use it for translation much like Google Translate. However, Google Translate’s mobile app can handle live speech and text in images through its Lens technology, which is something ChatGPT can’t yet accomplish. That lack of image incorporation spells the end of localization capabilities at present as well.
At present, it supports almost 100 languages, and it’s also capable of handling over 25,000 words of text. This allows for use cases like long form content creation and translation.
ChatGPT Translation in Action
Because of its conversational nature, ChatGPT’s translation flow is much more contextual.
We did a simple test to show how it works by translating the Chinese idiom “未雨绸缪”.
Here’s the translation using Google Translate:
ChatGPT, however, offers the following response to “what does “未雨绸缪” mean in English?”:
The Chinese phrase “未雨绸缪” (wèi yǔ chóumóu) can be translated to English as “prepare for a rainy day” or “make provision against possible trouble.” It conveys the idea of taking precautions or making preparations in advance to prevent or mitigate future problems or difficulties. It emphasizes the importance of foresight and planning for potential challenges or uncertainties.
So, with Google, you get a straight up, simple translation. There’s no context, but it works. ChatGPT offers a more thoughtful response.
Additionally, you can adapt translations to suit your specific needs and provide feedback on adjustments you want to make.
ChatGPT can consider cultural connotations and regional differences in the meaning of words, something purpose-built translation tools like Google Translate can’t do.
That’s but one example, though. Let’s take a look at some feedback coming in from other sources.
How accurate is ChatGPT for translation?
For starters, here’s ChatGPT’s own judgment of its translation capabilities via Slator.
“Yes, you can use ChatGPT for translation…However, it’s important to note that ChatGPT’s translation ability may not be as accurate or precise as a specialized translation tool or a professional translator.”
Additionally, “ChatGPT may not be able to translate certain technical or domain-specific terms accurately. Nonetheless, ChatGPT can be a useful tool for basic language translation tasks.”
And don’t forget, ChatGPT can produce incorrect answers to user queries. It does not always guarantee correct information. Plus, the major drawback is that its data comes from 2021, with no knowledge of events – or changes in language – after that point.
Next, Chinese tech company Tencent found that ChatGPT fell short of Google Translate and DeepL when translating Reddit comments.
Finally, Microsoft has a huge stake in ChatGPT, recently investing $10 billion to compete with Google and use ChatGPT in Bing searches and to be embedded in Word, Excel, PowerPoint, and Outlook.
They also recently compared GPT language models to both research and commercial MT engines in 18 high- and low-resource language pairs. They used publicly available datasets and tested at both sentence- and document-level. Multiple metrics as well as human evaluation were employed.
The conclusion was GPT models produce a “very competitive translation quality for high resource languages. However, ChatGPT still has “limited capabilities for low resource languages.”
For reference, English, Chinese, Spanish, French, Japanese and more of the European and Western languages are high resource.
To be more successful with low resource languages, text data collection and annotation is necessary. If you’re translating into these languages, then, ChatGPT won’t be enough to get the job done.
Importance of Post-Edited Machine Translation
Make of all that what you will, but here’s our two cents.
It’s a sliding scale between pure human translation and handing everything over to the machine.
Human translation is slow but solid, and it comes at a cost. The quality, though, is premium.
Machine translation – like ChatGPT – is quick and simple, and you can get it done inexpensively. The quality, as we’ve seen, isn’t outstanding, and it’s better as a translation evaluator at the moment.
That’s the process of revising and refining your content after it has gone through machine translation. A human translator checks the content to make sure it’s not only accurate, but also has the right voice and tone and is culturally appropriate.
We still need human review for more in-depth localization and translation projects for the highest levels of accuracy. And that’s especially true for low-resource languages.
Machine translation with human touchpoints is where you’ll find a balance between quality and cost efficiency.
Let Us Help You Find the Right Translation Balance
At Summa Linguae, we consider all the factors before rolling out a custom price.
First and foremost, you must know what exactly you need. Make a list of the languages into which or from which you need to translate and decide on the level of language services your company needs.
Will you need translation or localization? And is it a one-time need, or will there be ongoing projects?
The more detailed information you provide to the person quoting for your translation needs, the greater the chance that you will be offered the most attractive price. And if you don’t know exactly what you need, we can help figure it out.
Contact us today to get started.
Why Human Translators Aren’t Going Anywhere
While the translation industry may adapt to incorporate technology, the role of human translators is expec...
Why Invest in Hybrid Machine Translation Services
Here’s why hybrid machine translation services are the current language solutions sweet spot. In the past,...