We are creating various corpus data with high response rates through a standardized process.
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Corpus Service
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Create speech and text corpus data
Create corpus data by language/gender/region
After selecting Entity, we achieve diversity through the creation of
a thesaurus (dictionary)
Achieve diversity through root transformation
Corpus Service
Corpus Generation Process
Intent (representative utterance) creation
- Intent Creator:
Client or scriptwriter - Response Creator:
Client or scriptwriter
Refine intents and final responses
- Simplify the main and sub intents
Choose entity with intents and tag them
Create thesaurus(dictionary) per chosen entity
Specify/select essential words to include in the utterance if necessary
Utterance: Corpus Creator
- Achieve diversity through root transformation, not just changes in postpositions or endings
- Achieve diversity through changing word order
- Ensure conciseness
- Refined sentence completion
(no slang words or colloquialisms)
Final check
- Response induction accuracy check
- Entity and dictionary check
- Spelling and grammar check
Enter corpus data /
Deep Learning
Response rate test
Edit and re-enter utterances with low response rates