
NLP 101
Authored by Gemma Norisa Daryono
Computers
Professional Development
Used 1+ times

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8 questions
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1.
MULTIPLE SELECT QUESTION
45 sec • 1 pt
Contoh preprocessing NLP text yaitu ....
Lemmatization
White Noise Reduction
Format Adjustment
Stopwords Removal
2.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Preprocessing dilakukan agar data output rapih dan mudah dibaca.
True
False
3.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Proses Lemmatization lebih cepat daripada Stemming.
True
False
4.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
In an Audio file, the number of samples taken per second is called ....
Model
Channel
White Noise
Sampling Rate
5.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
The flow illustrates how .... works.
AI
Machine Learning
Deep Learning
All answers are correct
6.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
WER adalah metode perhitungan akurasi untuk VTT.
True
False
7.
MULTIPLE CHOICE QUESTION
30 sec • 1 pt
Pada tahap Inference, dilakukan penilaian akurasi NLP.
True
False
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