Language Translator

In our free version we use Phrase Based Machine Translations provided by Google Translate, while in our paid versions use Google Translate Neural Translations which are very accurate for popular language pairs.

In the paid versions you can refine the automatic translations yourself or order professional translations or proofreading of a translated content.

You can get a translation cost estimate by using our Website Translation Cost Calculator

Multilingual SEO is a SEO strategy which uses new content generation technique by translating your original content and making your website multilingual. By translating your website into many languages you are creating many new multilingual keywords targeted for international market. It helps to increase your search appearnce on search engines results pages (SERPs), which can generate more traffic, increase sales and rise the conversion rate.

Language Translator

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You need to go to the language you want to edit, for instance, French: and add ?language_edit=1 to the end of the URL: _edit=1 and you will see the Edit buttons near each text. Read more at How to edit translations?

Identify up to 81 languages for free using our Language Identification API endpoint, which includes all translation languages above with Afrikaans, Albanian, Armenian, Azerbaijani, Bashkir, Belarusian, Burmese, Central Khmer, Chuvash, Esperanto, Georgian, Haitian, Icelandic, Kazakh, Kirghiz, Kurdish, Lao, Mongolian, Norwegian (Nynorsk), Persian, Pushto, Somali, Tagalog

Do note that lots of languages are already supported out of the box - just look in your admin settings for language to enable them. These can live together on the same instance. You set one as the default.

There is also a fairly amazing plugin providing automatic translation so people can translate posts into their own preferred interface language. We use it very actively on our community and it works surprisingly well even if the translations are a bit funny sometimes.

When you give a user ID access to multiple services, use an endpoint URL that includes the service instance ID (for example, -south.language-translator.watson.cloud.ibm.com/instances/6bbda3b3-d572-45e1-8c54-22d6ed9e52c2). You can find the instance ID in two places:

Lists all supported languages for translation. The method returns an array of supported languages with information about each language. Languages are listed in alphabetical order by language code (for example, af, ar). In addition to basic information about each language, the response indicates whether the language is supported_as_source for translation and supported_as_target for translation. It also lists whether the language is identifiable.

Translates the input text from the source language to the target language. Specify a model ID that indicates the source and target languages, or specify the source and target languages individually. You can omit the source language to have the service attempt to detect the language from the input text. If you omit the source language, the request must contain sufficient input text for the service to identify the source language.

The model to use for translation. For example, en-de selects the IBM-provided base model for English-to-German translation. A model ID overrides the source and target parameters and is required if you use a custom model. If no model ID is specified, you must specify at least a target language.

Language code that specifies the language of the input text. If omitted, the service derives the source language from the input text. The input must contain sufficient text for the service to identify the language reliably.

A score between 0 and 1 indicating the confidence of source language detection. A higher value indicates greater confidence. This is returned only when the service automatically detects the source language. ff782bc1db