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Hanakotoba (花言葉) is the Japanese form of the language of flowers. The language was meant to convey emotion and communicate directly to the recipient or viewer without needing the use of words. The language was meant to convey emotion and communicate directly to the recipient or viewer without needing the use of words.
Sayuri can be written using different kanji characters and can mean: . 小百合, "small, lily" 早百合, "early, lily" 佐由里, "assistant, reason, home town ...
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]
Google is showing off Translatotron, a first-of-its-kind translation model that can directly convert speech from one language into another while maintaining a speaker's voice and cadence.
Speech translation is the process by which conversational spoken phrases are instantly translated and spoken aloud in a second language. This differs from phrase translation, which is where the system only translates a fixed and finite set of phrases that have been manually entered into the system.
Google Japanese Input (Google 日本語入力, Gūguru Nihongo Nyūryoku) is an input method published by Google for the entry of Japanese text on a computer. Since its dictionaries are generated automatically from the Internet , it supports typing of personal names , Internet slang, neologisms and related terms.
It was allegedly in 1867 that a man named John Joshua Jarmain operating from Yokohama became the first commercial exporter of Japanese lilies, [4] though the species of lily is not clarified. The mint exporter Samuel Cocking of Yokohama also exported lilies from the early 1800s, [ 5 ] presumably of the L. auratum species, which is the local ...
The following table compares the number of languages which the following machine translation programs can translate between. (Moses and Moses for Mere Mortals allow you to train translation models for any language pair, though collections of translated texts (parallel corpus) need to be provided by the user.