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By 2022, the platform reportedly had 60 different sub services, [6] and was the most popular online dictionary service in South Korea by 2021. [7] Naver Dictionary contains many definitions of words, a Korean audio pronunciation service, [1] and easy searching and accessibility of words. [8]
The dictionary content is licensed from Oxford University Press's Oxford Languages. [3] It is available in different languages, such as English, Spanish and French. The service also contains pronunciation audio, Google Translate, a word origin chart, Ngram Viewer, and word games, among other features for the English-language version.
WordReference is an online translation dictionary for, among others, the language pairs English–French, English–Italian, English–Spanish, French–Spanish, Spanish–Portuguese and English–Portuguese. WordReference formerly had Oxford Unabridged and Concise dictionaries available for a subscription.
Naver Papago (Korean: 네이버 파파고), shortened to Papago and stylized as papago, is a multilingual machine translation cloud service provided by Naver Corporation. The name Papago comes from the Esperanto word for parrot , Esperanto being a constructed language.
Google Translate is a multilingual neural machine translation service developed by Google to translate text, documents and websites from one language into another. It offers a website interface, a mobile app for Android and iOS, as well as an API that helps developers build browser extensions and software applications. [3]
Basic Korean Dictionary (Korean: 한국어기초사전; Hanja: 韓國語基礎辭典) is an online learner's dictionary of the Korean language, launched on 5 October 2016 by the National Institute of Korean Language. [1]
A bilingual dictionary or translation dictionary is a specialized dictionary used to translate words or phrases from one language to another. Bilingual dictionaries can be unidirectional , meaning that they list the meanings of words of one language in another, or can be bidirectional , allowing translation to and from both languages.
The system constructs the dictionary of single-word translations based on the analysis of millions of translated texts. In order to translate the text, the computer first compares it to a database of words. The computer then compares the text to the base language models, trying to determine the meaning of an expression in the context of the text.