스마트폰 번역기 파파고 사용 방법

This paragraph introduces Naver Papago, a smartphone application launched by Naver Lex in 2016. The app is free and offers translation and interpretation services. It supports translation between Korean, English, Chinese, Japanese, and 10 other languages, totaling 14 languages. The app leverages Naver's AI technology, which learns from the Korean language base to improve its translation capabilities. Users can download the app from the Play Store by searching for 'Papago', and upon opening, they can input text for translation. The app not only translates text but also reads the translated text aloud. It features a microphone button for voice input and translation, and it can display the translated text in real-time. The app also includes a conversation mode for one-on-one dialogues, where it can translate spoken language into the target language and play it back through the speaker. Additionally, it has an image translation feature that can translate text within photos, offering both full and partial translation options. Users can also save frequently used languages for quick access and review past translations.

The second paragraph delves into additional features of the Naver Papago app that can assist users in various real-life scenarios. It mentions a feature that compiles commonly used phrases in categories such as restaurants and shopping malls, which can be particularly useful for travelers or those studying English conversation. The app also offers a website translation feature that can translate foreign language websites into Korean by inputting the URL, making it easier to access information from international online stores or other sources. For parents and children, there's a vocabulary card feature that provides conversational words in multiple languages, including English, Chinese, and Japanese, with visual aids and pronunciation. The app also allows users to suggest corrections to translations and vote on them, with the possibility of earning Naver Pay points for accepted suggestions. The paragraph concludes with a note on the app's evolution, stating that while the translation quality was initially poor, it has significantly improved over time with the accumulation of AI data and user feedback.