A data scientist is working on a machine translation system that translates English to French. The system uses a language model to score candidate translations. Why is a language model useful in this context?

It helps select the most fluent and grammatically correct translation among candidates

It translates words directly from English to French

It converts text to speech in French

It aligns English and French sentences

What is the main purpose of smoothing techniques in n-gram language models?

To speed up the training process

To assign non-zero probabilities to unseen n-grams

To increase the order of the n-gram model

To reduce the vocabulary size of the model

How is perplexity related to the probability assigned to a test sequence by a language model?

Perplexity is the sum of the per-word probabilities

Perplexity is the inverse of the geometric mean of the per-word probabilities

Perplexity is the logarithm of the per-word probabilities

Perplexity is the product of the per-word probabilities

What does a lower perplexity score indicate about a language model's performance?

The model is better at predicting the test data

The model has a larger vocabulary

The model is overfitting to the training data

The model is more complex and harder to train

Dell Data Science Optimize

Domain 3Objective 3

Language Modeling DATA-SCIENCE-OPTIMIZE Practice Questions (Page 1)

Part of the Natural Language Processing (NLP) domain, which accounts for 20% of the DATA-SCIENCE-OPTIMIZE exam.

26questions here

6free pages

6concepts

20%of the exam

Questions 1–5

1application · medium
A data scientist is working on a machine translation system that translates English to French. The system uses a language model to score candidate translations. Why is a language model useful in this context?
Select an answer first
2foundation · easy
What is the main purpose of smoothing techniques in n-gram language models?
Select an answer first
3foundation · easy
How is perplexity related to the probability assigned to a test sequence by a language model?
Select an answer first
4foundation · easy
Which of the following NLP tasks directly relies on the ability of a language model to predict the next word in a sequence?
Select an answer first
5foundation · easy
What does a lower perplexity score indicate about a language model's performance?
Select an answer first

Finished these 5 questions?

Review the revealed explanations, or continue through the curriculum.

Next 5 questions →Back to DATA-SCIENCE-OPTIMIZE

Free Basic Practice is a study aid with revealable answers — not a scored exam. Examers.io is independent and not affiliated with or endorsed by Dell Technologies. “DATA-SCIENCE-OPTIMIZE” is a trademark of its owner, used for identification only.