Describe the bug
in es/taggers/tokenize_and_classify.py it set privilege more on dicimal TN rules, so that no telephone rule will hit during TN processing.
and another unknown bug: My input llama al 819982812 into telephone rule, it will return:
telephone { contry_code: " llama al echo" number_part: ... which means the first number 8 is translated into the contry_code part.
A clear and concise description of what the bug is.
Steps/Code to reproduce bug
Please list minimal steps or code snippet for us to be able to reproduce the bug.
A helpful guide on on how to craft a minimal bug report http://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports.
Expected behavior
A clear and concise description of what you expected to happen.
Environment overview (please complete the following information)
- Environment location: [Bare-metal, Docker, Cloud(specify cloud provider - AWS, Azure, GCP, Collab)]
- Method of NeMo install: [pip install or from source]. Please specify exact commands you used to install.
- If method of install is [Docker], provide
docker pull & docker run commands used
Environment details
If NVIDIA docker image is used you don't need to specify these.
Otherwise, please provide:
- OS version
- PyTorch version
- Python version
Additional context
Add any other context about the problem here.
Example: GPU model
Describe the bug
in es/taggers/tokenize_and_classify.py it set privilege more on
dicimalTN rules, so that no telephone rule will hit during TN processing.and another unknown bug: My input
llama al 819982812into telephone rule, it will return:telephone { contry_code: " llama al echo" number_part: ...which means the first number8is translated into thecontry_codepart.A clear and concise description of what the bug is.
Steps/Code to reproduce bug
Please list minimal steps or code snippet for us to be able to reproduce the bug.
A helpful guide on on how to craft a minimal bug report http://matthewrocklin.com/blog/work/2018/02/28/minimal-bug-reports.
Expected behavior
A clear and concise description of what you expected to happen.
Environment overview (please complete the following information)
docker pull&docker runcommands usedEnvironment details
If NVIDIA docker image is used you don't need to specify these.
Otherwise, please provide:
Additional context
Add any other context about the problem here.
Example: GPU model