Chapter 8: Natural Language Processing
A. Fill in the blanks.
1. Natural Language Processing
2. AI
3. Tokenisation
4. NLG
5. Sentence Segmentation
B. State True or False.
1. True
2. False
3. False
4. True
5. False
C. Select the correct option.
1. b. Topic Analysis
2. a. Speech Recognition
3. c. Face Recognition
4. b. Stemming
5. c. NLO
D. Competency-based question.
Shruti should recommend Speech Recognition or a digital assistant with strong speech-to-text capabilities, such as Google Assistant or Apple's Siri.
E. Answer the following questions.
1. NLP stands for Natural Language Processing. It is the process of making computers understand human languages.
2. Stemming simplifies the word into its root word by removing any affixes in it. For example, "playing" will be simplified to "play". Whereas lemmatisation reduces the word to its base word while keeping the context of the word. For example, the words, sings, singing, and sung are all from the base word 'sing'. So, 'sing' is the lemma word for all these words.
3. Two applications of NLP are:
● Digital assistants: Digital assistants, such as Alexa, Siri, Google Assistant, or Cortana, all make use of NLP to interpret the voice commands and convert them into text.
● Chatbots: Chatbots use NLP to understand user queries and provide relevant responses.
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