repodiac/german_transliterate
Python module to clean and transliterate (i.e. normalize) German text including abbreviations, numbers, timestamps etc. It can be used to clean messy text (e.g. map peculiar Unicode encodings to ASCII) or replace common abbreviations in text in combination with various text mining tasks.
This tool helps German content creators and linguists prepare German text for applications like Text-To-Speech (TTS). It takes raw, potentially messy German text, including abbreviations, numbers, and timestamps, and converts it into a clean, normalized version suitable for automated processing. It is especially useful for anyone working with German language data that needs to be consistently formatted.
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Use this if you need to clean and standardize German text for Text-To-Speech systems or other text mining tasks, ensuring consistent pronunciation and processing of various elements like dates, money, and abbreviations.
Not ideal if your primary need is for highly accurate, context-aware linguistic analysis that goes beyond text normalization and simple phonemic encoding.
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36
Forks
19
Language
Python
License
CC-BY-4.0
Category
Last pushed
Jan 16, 2021
Commits (30d)
0
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