📌 Text AI is available on the Professional or Enterprise plan.
What Is Text Translation?
Text translation is a feature that automatically translates open-ended responses collected in multiple languages into a single language of your choice.
It supports translation between more than 100 languages including Korean, and operates based on Google Translate software.
When translation is run, the original data is preserved as-is, and a new text variable containing the translated content is additionally created.
The translated variable supports the same variety of Text AI analysis features — including word cloud, topic analysis, and sentiment analysis — making it convenient to analyze response data in different languages using one unified standard.
🧙 Understanding text translation through an example
"I conducted a global customer survey and responses in Korean, English, and Japanese are mixed together. Analyzing them language by language is too cumbersome. 🤔"
Running text translation in this situation creates a new variable with all responses translated into Korean (or your desired language). This allows you to analyze responses written in multiple languages together in a single variable, making it easier to understand the overall opinions.
How to Use Text Translation
📌 Text translation deducts 1 text credit per response.
1️⃣ Launch AI analysis 'Ossistant'
step 1. In the variable list on the left sidebar of the Text AI tab, select the text variable to translate, then click the [AI Analysis] button in the upper right.
step 2. When the chatbot Ossistant appears, follow Ossistant's guidance and select 'Text translation.'
step 3. Select the 'Detected language' and 'Language to translate into.'
Detected language: The item for selecting which language to find and translate in the text submitted by respondents. The language is automatically detected based on the response content and set as the default.
Language to translate into: Select the final language that will result from AI analysis translation. Selecting your desired language lets you view results translated into that language.
💡 Usage tip | Translation is available into more than 100 languages including Korean, English, and Japanese.
2️⃣ Check the translation conditions.
step 1. Before running translation, check the number of responses to be translated, the language to translate into, and the credits to be deducted.
step 2. Select [Yes] to proceed. Selecting [Yes] starts the analysis.
Analysis generally completes within 2 hours; for 1,000 or more responses, it may take up to 48 hours.
Even if you close the browser window after requesting analysis, the analysis continues.
Reviewing and Using Translation Results
1️⃣ Checking the translated variable
Once translation is complete, a new variable is automatically created in the left sidebar, and the variable name is displayed in the format '[original variable name]_[language abbreviation of translated language]_[creation date and time (year/month/day/hour/minute/second)]'.
💡 Usage tip | The original variable is preserved as-is, and the translated variable is created as a separate new variable.
2️⃣ Running additional analysis with the translated variable
Selecting the generated translated variable from 'Survey data' on the left lets you use the same variety of analysis features as with the original variable.
Text AI features (word cloud · morphological analysis, topic analysis, sentiment analysis) can also be used in the same way, allowing you to run additional analysis based on the translated response data.
Feature | Available in translated variable |
Word cloud · Morphological analysis | ✅ Available |
Topic analysis | ✅ Available |
Sentiment analysis | ✅ Available |
Results tab | ✅ Available |
Cross-tab tab | ❎ Not available |
Text AI | ✅ Available |
Report tab | ✅ Available |
Have you got a good understanding?
If you still have questions after reviewing this guide, please contact us anytime via the [Customer Support icon] in the bottom right corner of your screen. Our team will do its best to help you resolve any difficulties you're experiencing.