NLP301c SP26 NO1 PE RE

NLP301c PE INSTRUCTIONS
Student preparation:

Before proceeding, install Python 3.8 or higher.

Install NLTK (nltk-3.6.2), downloadable from [

Run cmd with administrator role, change the current path in prompt to the nltk-3.6.2 folder, and type the following command to set up.

Once installed, start up the Python interpreter and install the data required for the book by typing:

>>> import nltk

>>> nltk.download()

(Note: The image shows the NLTK Downloader window with the "book" collection installed).

Instructions for completing PE:

For submission: Create a folder named in the format: YourName_YourRollNumber_NLP301c

Example: Nguyễn Thế Hùng with roll number SE09234 will submit: HungNT_SE09234_NLP301c

Create separate files named Q1.py, Q2.py, Q3.py, Q4.py and place them in the folder.

Submit the folder to the server. Incorrect submissions will receive a ZERO.

Questions
Question 1: (2 marks)
Write a program to process a system log message by removing all timestamps (digits) and returning a clean message.

Requirements:

Remove all digits from the text.

Normalize spaces (no extra spaces between words).

Input: A string representing a system log.

Desired Output: A cleaned string without digits.

Example:

Input: "Error404 occurred at 10:45 on server123"

Output: "Error occurred at: on server"

Question 2: (2 marks)
Write a program to compute the number of unique bigrams (two-word sequences) in a product description.

Input: A string containing a product description.

Desired Output: An integer representing the number of unique bigrams.

Example:

Input: "smart phone with smart features and smart design"

Output: 7

Explanation: (smart phone, phone with, with smart, smart features, features and, and smart, smart design) → unique = 7.

Question 3: (3 marks)
Write a program to extract all forum tags from a post.

A tag:

Starts with $

Followed by letters only (no digits, no punctuation).

Input: A string containing a forum post.

Desired Output: A list of valid tags in the order they appear.

Example:

Input: "Discussing $AI and $Machine Learning in $2025 trends and $DataScience!"

Output: ['$AI', '$Machine Learning', '$DataScience']

Question 4: (3 marks)
Write a program that checks whether two chatbot responses are semantically identical in terms of word usage.

Rules:

Ignore case.

Ignore punctuation.

Ignore word order.

Compare based on word frequency.

Input: Two strings (two sentences).

Desired Output: True or False.

Example 1:

Sentence 1: "AI will change the world"

Sentence 2: "the world will change AI"

Output: True

Example 2:

Sentence 1: "AI is powerful"

Sentence 2: "AI is very powerful"

Output: False

NLP301c PE INSTRUCTIONS​

Student preparation:​

Instructions for completing PE:​

Questions​

Question 1: (2 marks)​

Question 2: (2 marks)​

Question 3: (3 marks)​

Question 4: (3 marks)​

NLP301c PE INSTRUCTIONS

Student preparation:

Instructions for completing PE:

Questions

Question 1: (2 marks)

Question 2: (2 marks)

Question 3: (3 marks)

Question 4: (3 marks)

Đang tải dữ liệu

Đang tải dữ liệu

Đang tải dữ liệu