Incorrect Citrinet transcription
**Describe the bug**
I am trying to transcribe an audio file with following ground truth:
**in the late 1980s switzerland witnessed a huge increase**
and getting the following prediction by Citrinet:
**in the late one thousand nine hundred eighty seconds switzerland witnessed a huge increase**

**Steps/Code to reproduce bug**
NeMo version : 1.0.0rc1
Enviroment: Nvidia-docker
Inference script: https://github.com/NVIDIA/NeMo/blob/v1.0.0rc1/examples/asr/transcribe_speech.py

**Expected behavior**
Seems like a bug in text-normalization that wrongly normalizes 1980s to one thousand nine hundred eighty seconds

**Environment overview (please complete the following information)**

 - Environment location:  Nvidia-Docker
 
 - Docker run command: docker run -it  nvcr.io/nvidia/nemo:1.0.0b1, installed nemo-1.0.0rc1 using reinstall.sh

**Additional context**
GPU model: RTX 2080