**i-NLP**
**Section Id :** 64065382587
**Section Number :** 8
**Section type :** Online
**Mandatory or Optional :** Mandatory
**Number of Questions :** 19
**Number of Questions to be attempted :** 19
**Section Marks :** 50
**Display Number Panel :** Yes
**Section Negative Marks :** 0
**Group All Questions :** No
**Enable Mark as Answered Mark for Review and**
No
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**Section Maximum Duration :** 0
**Section Minimum Duration :** 0
**Section Time In :** Minutes
**Maximum Instruction Time :** 0
A published solution is not available for this question yet.
Consider the given Assertion and Reason. Choose the correct option.
**Assertion (A):** FastText produces word embeddings of variable size, depending on the number of
subword n-grams a word contains.
**Reason (R):** FastText computes the final embedding for a word by summing or averaging the
embeddings of its subword n-grams.
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Both Assertion (A) and Reason (R) are true, and (R) is the correct explanation of
(A).
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Both Assertion (A) and Reason (R) are true, but (R) is not the correct
explanation of (A).
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Assertion (A) is false, but Reason (R) is true.
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Assertion (A) is false, and Reason (R) is false.
A published solution is not available for this question yet.
Suppose TF-IDF is applied to a corpus of medical research papers. In a document discussing
COVID-19 vaccines, which of the following terms is likely to have the highest TF-IDF score?
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"COVID-19"
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"Spike protein"
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"vaccine"
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"treatment"
A published solution is not available for this question yet.
You are using QLoRA to fine-tune a neural network. The weight matrix W has dimensions 1024 x
2048, and LoRA uses rank 8 matrices. Quantization is applied, reducing precision to 4bits.
What is the memory required for storing the parameters introduced by QLoRA?
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12,000 bytes
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13,000 bytes
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12,288 bytes
6406533952767.
24,576 bytes
A published solution is not available for this question yet.
You are comparing rule-based machine translation (RBMT), statistical machine translation(SMT),
and example-based machine translation (EBMT) for translating a set of sentences between English
and Spanish. Based on the characteristics of these techniques, which of the following statements
are correct?
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RBMT heavily relies on linguistic resources such as bilingual dictionaries and
grammar rules, making it less effective for low-resource language pairs.
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EBMT does not rely on explicit linguistic rules but instead retrieves and reuses
translation examples, making it highly dependent on the quality of the example database.
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RBMT has a strong ability to generalize to unseen inputs due to its reliance on
manually crafted linguistic rules.
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SMT can handle unseen words better than RBMT by leveraging subword-level
probabilities for translation.
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EBMT achieves higher translation accuracy than SMT in domain-specific
scenarios if the example database contains relevant matches.
A published solution is not available for this question yet.
You are analyzing a collection of movie reviews using the Bag of Words (BoW) model. Here are
three sample reviews:
The reviews were preprocessed using techniques such as lowercasing and lemmatization,
resulting in 19 unique tokens in the vocabulary. Using the BoW model, you generate BoW vectors
of length 19 for each review. Each BoW vector represents word frequencies without considering
word order or context. Each BoW vector represents word frequencies without considering word
order or context. Calculate the total number of non-zero entries across all three review
vectors.Assume that each unique word from the vocabulary appears in at least one review. A word
that appears in a review contributes one non-zero entry to that review's BoW vector.
A published solution is not available for this question yet.
A simple RNN has 10 hidden units, and the input feature size is 5. If the output size is 8, what is the
total number of trainable parameters in the RNN (excluding biases)?
A published solution is not available for this question yet.
A model has 1,000,000 parameters. LoRA is applied to a 100 x 100 parameter matrix in the model
and results in 400 new LoRA parameters. What will be the rank (r) of the LoRA matrices?
A published solution is not available for this question yet.
