Glossary Support for Messaging

Glossary Support for Messaging


Glossary terms added to your organization on Lingpad will be incorporated into AI-powered translations for customer support messaging as well. 

 

Please find the supported languages list below:

 

Afrikaans

Galician

Latin

Shona

Albanian

Georgian

Latvian

Sindhi

Amharic

German

Lingala

Sinhala (Sinhalese)

Arabic

Greek

Lithuanian

Slovak

Armenian

Guarani

Macedonian

Slovenian

Aymara

Gujarati

Malagasy

Somali

Azerbaijani

Haitian Creole

Malay

Spanish

Bambara

Hausa

Malayalam

Sundanese

Basque

Hawaiian

Maltese

Swahili

Belarusian

Hebrew

Maori

Swedish

Bengali

Hindi

Marathi

Tagalog (Filipino)

Bosnian

Hmong

Mongolian

Tajik

Bulgarian

Hungarian

Myanmar (Burmese)

Tamil

Catalan

Icelandic

Nepali

Tatar

Cebuano

Igbo

Norwegian

Telugu

Chinese

Indonesian

Nyanja (Chichewa)

Thai

Chinese (Simplified)

Irish

Odia (Oriya)

Tigrinya

Chinese (Traditional)

Italian

Oromo

Tsonga

Croatian

Italian

Pashto

Turkish

Czech

Japanese

Persian

Turkmen

Danish

Javanese

Polish

Twi (Akan)

Dutch

Kannada

Portuguese

Ukrainian

English

Kazakh

Portuguese (Brazilian)

Urdu

Esperanto

Khmer

 

Uzbek

Estonian

Kinyarwanda

Quechua

Vietnamese

Ewe

Konkani

Romanian

Welsh

Filipino (Tagalog)

Korean

Russian

Xhosa

Finnish

Kurdish

Samoan

Yiddish

French

Kurdish (Sorani)

Sanskrit

Yoruba

Frisian

Lao

Serbian

Zulu


Note: Glossary will be implemented for the relevant language pairs. For example, your 'EN to Korean' glossary will be implemented even if the project language is EN-US or EN-UK.

For detailed written explanation, scroll down to the section after the video tutorial. 

Video Tutorial



Glossary: How does it work with my customer support channels? 

Here's how glossary will come into implementation while responding to tickets/messages on your relevant customer support platform. 

  • Your support agent types a quick response to the customer. Notice how iPhone is typed as 'iphone' in the text box.


  • Considering that "iPhone" is a term in your glossary, it will automatically be incorporated into the translation. Check the image below to see how the glossary is implemented. The translated message sent to the customer maintains the proper terminology format "iPhone" as mentioned in the glossary terms.


See how easy and effective the AI-powered translation process is when glossary implementation is automated? Say goodbye to manual quality checks!

Have further questions? Send us an email at hello@lingpad.com and we'll be in touch with you soon.

    • Related Articles

    • How to Create Freshdesk Support Translation Project on Lingpad

      The previous article explained, how you can get started and install the Lingpad app from the Freshdesk Marketplace. Now, let's understand how to create an integration project for Freshdesk Support ticket translations: Video Tutorial: How to Integrate ...

    • Glossary Support for AI-powered translations

      Lingpad offers glossary support for AI-powered translations as well. Note: At this stage, Lingpad can only offer Glossary support for AI-powered translations of the following languages with more to be added in the future. Please find the supported ...

    • Glossary Support for Project and Editor

      Now that you have created a Glossary and added relevant terms to it, let's see how the glossary feature will function on a project and editor-level. Go to your specific project and click on the 'Glossary' icon on the left to see the list of ...

    • Pre-configure Your Help Center Article Translation with TM and Glossary

      Adding translation memory and a glossary are prerequisites to begin localizing and translating your help center or knowledge base articles. You can upload or add TM at the project as well as the organization level and create a Glossary to use for all ...

    • How Lingpad's AI Translation Will Work for Freshdesk Support Desk

      Lingpad's AI-powered translation will enable your support agents to translate incoming messages in their preferred language automatically and send translated messages in customers' native language. Let's see how our AI-powered translation automation ...