Using this Ukrainian transliteration service you can solve a few tasks. The transliterator is optimized to consume less resources and perform the translation faster than most of the other similar Web applications. Our online Ukrainian Cyrillic converter is a powerful and easy to use tool at the same time. The project UA.TRANSLIT.CC has been created to support both international Ukrainian community spreaded around the World and people who learn Ukrainian. If you are interested in our multilingual transliteration project and want to be up to date about the latest developments and features, then you can either visit our Transliteration Blog or subscribe to our RSS Feed with your favorite feed reader or enter your email below for the newsletter subscription. : Today we are expanding our multilingual transliteration service with Bulgarian Transliteration converter and spell checker.
Any feedback from the users is greatly welcome. : Just after the Bulgarian version, the Belarusian Transliteration converter follows. : Now the Greek community and Greek learners are provided with the Greeklish translator, which converts between Greek and Latin scripts. Greek Transliteration and Greeklish Translation
: To those who need to type in Georgian, we are happy to offer our virtual Georgian keyboard.
With governments and financial institutions mandating inclusion and content creators being more used to the Latin letter keypad, a tool like Transliteration can be very handy to make it easy to create local language content.Report this adTranslit News Georgian Transliteration and Virtual Keyboard Something as simple as typing can be extremely challenging when we talk about languages spoken in the Middle East, Africa, India and South East Asia.
TRANSLITERATION MANUAL
This can potentially save thousands of dollars on manual translation efforts. It can be indexed using popular frameworks like Elasticsearch, or other similar tools and instantly made accessible in multiple languages. Transliteration can be a handy tool to convert such content on the fly to other languages that don’t use the Latin (or English) alphabet. Internationalization/Translation can be extremely expensive when your databases are in English and dynamic, ever-expanding with content like songs, albums, or addresses. Accessibility Usecases - Low-Cost Content Accessibility in Multiple Languages Transliteration-powered typing tools can help accelerate the dataset creation process for chatbots in languages that don’t use the Latin (or English) alphabet. While this can work well for simple FAQ chatbots, contextual chatbots require well-structured/meaningful data in the local languages. Creating NLU Data for Chatbots Ī common practice is to create a dataset in English and translate it to another language using Google Translate or similar APIs. in your local language and convert them into the Latin (or English) alphabet to fully utilize APIs from Google Maps, Spotify and others. With Transliteration, you can extract entities like names, addresses, songs, etc. If you have tried integrating Google Maps or Spotify APIs with your chatbots in, e.g., Tamil, Arabic, Chinese or Greek, you know they rarely produce acceptable results. Use-cases: Chatbot Use Cases - Integrating with Google Maps, Spotify, and other APIs This will start a feedback-driven learning cycle and you should retrain your models to keep them up to date.
The Feedback page lets you browse through everything that has passed through your models and you can directly add sentences that were translated incorrectly back to your dataset. Once deployed, test your models using our interactive model testing and feedback mechanism, by clicking on Test model and Feedback page, respectively. Just click on the Deploy button next to the trained model that achieved the best performance and let AutoMLOps handle the rest for you. NeuralSpace’s in-house developed AutoMLOps feature allows you to use your custom-trained models with throughput rates of up to 30 requests per second. After your training is completed after a couple of minutes, you can place your model in production. Training a custom Transliteration model using AutoNLP is as easy as clicking on the Train with AutoNLP button once your dataset is uploaded and prepared in the Data Studio. You can upload your existing datasets or create your own in the Data Studio - NeuralSpace’s data preparation and annotation tool which is designed to make dataset creation and modification much faster. Just like other Apps on NeuralSpace, Transliteration takes care of the entire AI modeling lifecycle, which is
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