☑ MCQ PRACTICE

Natural Language Processing Unit 1

Practice objective questions for quick revision and examination preparation. Try answering each question before revealing the answer.

📚 Natural Language Processing
📖 Unit 1
🎯 MCQs

Natural Language Processing - Unit-1

1
A morpheme is
Athe smallest sound unit of a language
Ba complete sentence
Cthe smallest meaningful unit of a language
Da group of paragraphs
Correct Answer the smallest meaningful unit of a language
2
A free morpheme is one that
Acan stand alone as a word
Bmust always be attached to another morpheme
Chas no meaning
Dis always a suffix
Correct Answer can stand alone as a word
3
Which of the following is a bound morpheme?
Abook
Brun
C-ing
Dtable
Correct Answer -ing
4
Inflectional morphology
Achanges the grammatical form of a word, such as number or tense
Balways creates a word of a new category
Cremoves all affixes
Dsplits text into sentences
Correct Answer changes the grammatical form of a word, such as number or tense
5
Derivational morphology
Aonly marks the plural
Bonly marks the tense
Cnever changes the meaning
Dcreates new words, often changing the word category
Correct Answer creates new words, often changing the word category
6
The base form to which affixes are attached is called the
Atoken
Bcorpus
Cstem
Dsuffix
Correct Answer stem
7
A lemma is
Athe canonical dictionary form of a word
Bthe last letter of a word
Ca punctuation mark
Da random token
Correct Answer the canonical dictionary form of a word
8
Tokenization is the process of
Atranslating text into another language
Btagging parts of speech
Csplitting text into tokens such as words and punctuation
Dbuilding a parse tree
Correct Answer splitting text into tokens such as words and punctuation
9
A lexeme is
Aa single letter
Ba sentence boundary
Ca type of suffix
Dan abstract unit of meaning that groups together related word forms
Correct Answer an abstract unit of meaning that groups together related word forms
10
Which of the following is an agglutinative language?
AMandarin Chinese
BEnglish
CTurkish
DFrench
Correct Answer Turkish
11
In an agglutinative language, words are formed by
Ajoining many morphemes, each usually carrying one meaning
Busing only single-morpheme words
Cdropping all vowels
Dusing only prefixes
Correct Answer joining many morphemes, each usually carrying one meaning
12
The English past tense form 'went' of the verb 'go' is an example of
Aa regular form
Ba derivational suffix
Can irregular form
Da stop word
Correct Answer an irregular form
13
Finite-state transducers are widely used in morphology for
Aspeech synthesis only
Bimage compression
Cmorphological analysis and generation
Ddatabase indexing
Correct Answer morphological analysis and generation
14
Two-level morphology was proposed by
AChomsky
BPorter
CKoskenniemi
DZipf
Correct Answer Koskenniemi
15
A dictionary lookup approach to morphology
Alearns rules without any data
Buses no stored words
Cstores all the word forms of the language in a lexicon
Dworks only for speech
Correct Answer stores all the word forms of the language in a lexicon
16
Morphology induction is the task of
Alearning the morphological structure of a language from unannotated text
Bwriting the dictionary by hand
Ctranslating words
Ddetecting sentence boundaries
Correct Answer learning the morphological structure of a language from unannotated text
17
Stemming differs from lemmatization because stemming
Aalways returns the dictionary form
Bneeds a full parse tree
Cworks only on sentences
Dusually strips affixes crudely and may not give a real word
Correct Answer usually strips affixes crudely and may not give a real word
18
The Porter stemmer is
Aa neural language model
Ba rule-based suffix-stripping algorithm
Ca parsing algorithm
Da sentence boundary detector
Correct Answer a rule-based suffix-stripping algorithm
19
Sentence boundary detection is difficult mainly because
Asentences never end
Btext has no punctuation at all
Cthe period can also mark abbreviations and decimal numbers
Dwords have no meaning
Correct Answer the period can also mark abbreviations and decimal numbers
20
Topic segmentation divides a document into
Asingle characters
Brandom sentences
Cidentical paragraphs
Dtopically coherent segments
Correct Answer topically coherent segments
21
Hidden Markov Models used for boundary detection are examples of
Adiscriminative local classification
Bunsupervised clustering
Cgenerative sequence classification
Drule-based matching
Correct Answer generative sequence classification
22
In discriminative local classification, each candidate boundary is
Aclassified independently using features of its context
Bignored completely
Cgenerated from a grammar
Dchosen randomly
Correct Answer classified independently using features of its context
23
Conditional Random Fields (CRFs) are
Agenerative language models
Bdiscriminative sequence models
Crule-based stemmers
Ddictionary lookup tables
Correct Answer discriminative sequence models
24
Which of the following is a lexical feature for sentence boundary detection?
AThe word before and after the punctuation mark
BThe colour of the page
CThe size of the file
DThe font of the text
Correct Answer The word before and after the punctuation mark
25
Boundary detection systems are commonly evaluated using
Aprecision, recall and F-measure
Bperplexity only
Ccompression ratio
Dframe rate
Correct Answer precision, recall and F-measure

Fill in the Blanks

26 The smallest meaningful unit of a language is called a __________.
Correct Answer morpheme
27 A morpheme that cannot stand alone as a word is called a __________ morpheme.
Correct Answer bound
28 __________ morphology creates new words, for example happy to happiness.
Correct Answer Derivational
29 __________ morphology expresses grammatical features such as plural and tense.
Correct Answer Inflectional
30 Splitting text into words and punctuation is called __________.
Correct Answer tokenization
31 The dictionary form of a word is called its __________.
Correct Answer lemma
32 Turkish is an __________ language in which many morphemes are joined together.
Correct Answer agglutinative
33 Two-level morphology was proposed by __________.
Correct Answer Koskenniemi
34 __________ is a crude process of removing suffixes from words.
Correct Answer Stemming
35 The __________ stemmer is a well-known suffix-stripping algorithm.
Correct Answer Porter
36 Detecting where sentences end is called sentence __________ detection.
Correct Answer boundary
37 Dividing a document into topically coherent parts is called __________ segmentation.
Correct Answer topic
38 Hidden Markov Models are __________ models of sequences.
Correct Answer generative
39 CRF stands for Conditional __________ Field.
Correct Answer Random
40 Finite-state __________ are used for morphological analysis and generation.
Correct Answer transducers
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