transformers pytorch jax tensorboard t5 text2text-generation translation no license:cc-by-4.0 autotrain_compatible text-generation-inference endpoints_compatible region:us
---
language: false
license: cc-by-4.0
tags:
- translation
widget:
- text: tirsdag var travel for ukrainas president volodymyr zelenskyj på morgenen
    tok han imot polens statsminister mateusz morawiecki
- text: tirsdagvartravelforukrainaspresidentvolodymyrzelenskyjpåkveldentokhanimotpolensstatsministermateuszmorawiecki
- text: deterikkelettåholderedepåstoreogsmåbokstavermanmåforeksempelhuskestorforbokstavnårmanskriveromkrimhalvøyamenkunbrukelitenforbokstavnårmanhenvisertilenkrimroman
- text: detteerenlitendemosomerlagetavperegilkummervoldhanerenforskersomtidligerejobbetvednasjonalbiblioteketimoirana
---

# DeUnCaser
The purpose of the DeUnCaser is to fix text that lacks punctation. It is particulary targeted towards the output from Automated Speak Recognition software. In addition to the lack of casing and punctation, it also often lacks pauses between words. Try this demo, and you will understand. 

The DeUnCaser is based on North-T5. It is a sequence-to-sequence mT5 model. It will make an attempt to add punctation, spaces and capitalisation to any text that is thrown at it. It is primarily trained to fix Norwegian text. 