1. Given a stream of text, Named Entity Recognition determines which pronoun maps to which noun.
Explanation: Given a stream of text, Named Entity Recognition determines which items in the text maps to proper names.
2. Natural Language generation is the main task of Natural language processing.
Explanation: Natural Language Generation is to Convert information from computer databases into readable human language.
3. OCR (Optical Character Recognition) uses NLP.
Explanation: Given an image representing printed text, determine the corresponding text.
4. Parts-of-Speech tagging determines
a) part-of-speech for each word
b) part-of-speech for each word dynamically as per sentence structure and meaning
c) all part-of-speech for a specific word given as input
d) all of the mentioned
Explanation: A Bayesian network provides a complete description of the domain.
5. Parsing determines Parse Trees (Grammatical Analysis) for a given sentence.
Explanation: Determine the parse tree (grammatical analysis) of a given sentence. The grammar for natural languages is ambiguous and typical sentences have multiple possible analyses. In fact, perhaps surprisingly, for a typical sentence there may be thousands of potential parses (most of which will seem completely nonsensical to a human).
6. IR (information Retrieval) and IE (Information Extraction) are the two same thing.
Information retrieval (IR)
This is concerned with storing, searching and retrieving information. It is a separate field within computer science (closer to databases), but IR relies on some NLP methods (for example, stemming). Some current research and applications seek to bridge the gap between IR and NLP.
Information extraction (IE)
This is concerned in general with the extraction of semantic information from text. This covers tasks such as named entity recognition, Coreference resolution, relationship extraction, etc.
7. Many words have more than one meaning; we have to select the meaning which makes the most sense in context. This can be resolved by
a) Fuzzy Logic
b) Word Sense Disambiguation
c) Shallow Semantic Analysis
d) All of the mentioned
Explanation: Shallow Semantic Analysis doesn’t cover word sense disambiguation.
8. Given a sound clip of a person or people speaking, determine the textual representation of the speech.
Explanation: NLP is required to linguistic analysis.
9. Speech Segmentation is a subtask of Speech Recognition.
10. In linguistic morphology, _____________ is the process for reducing inflected words to their root form.
d) Both a & b
Sanfoundry Global Education & Learning Series – Artificial Intelligence.