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Only a font is needed to view Ethiopic script. A keyboard driver is required only if you also wish to write text in the script. Amharic/Ge'ez based languages Keyboard online (and offline too) type 1 and type 2; Android Keyboards for Amharic and other Ge'ez based languages. FynGeez (Fynግዕዝ) keyboard; Ethiopic keyboard; Keyboard drivers
With more than 41.7 million speakers [13] making up 33.8% of the total Ethiopian population, [14] Oromo has the largest number of native speakers in Ethiopia, and ranks as the second most widely spoken language in Ethiopia by total number of speakers (including second-language speakers) following Amharic. [15]
eSpeak is a free and open-source, cross-platform, compact, software speech synthesizer.It uses a formant synthesis method, providing many languages in a relatively small file size. eSpeakNG (Next Generation) is a continuation of the original developer's project with more feedback from native speakers.
There are multiple ways to write some letters in Amharic as some of the sounds that were once used in Geʽez are non-existent in modern Amharic. At the cost of redundancy, Amharic speakers retain the archaic letters in their orthography to preserve the Geʽez origins of many of their words. Also, the English approximations are sometimes very ...
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]
A number of Ethiopian sign languages have been used in various Ethiopian schools for the deaf since 1971, and at the primary level since 1956. Ethiopian Sign Language, presumably a national standard, is used in primary, secondary, and—at Addis Ababa University—tertiary education, and on national television.
Users can click any phrase to repeat it as needed. Users can also download audio files (MP3) containing one or two languages. There are no pauses in the audio files to listen and repeat, so learners need to speak along with the recording (shadowing). [8] [9] In the app, learners can record their own voice for comparison with the recorded voice.
Whisper is a machine learning model for speech recognition and transcription, created by OpenAI and first released as open-source software in September 2022. [2]It is capable of transcribing speech in English and several other languages, and is also capable of translating several non-English languages into English. [1]
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