NATURAL LANGUAGE PROCESSING
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Natural Language Processing (CS4990). Top Exam Questions and answers, 100% Accurate, verified 
 
 
Why Python? 
- Shallow learning curve 
- Good string handling 
- Combines OO, aspect-oriented and FP paradigms 
- Extensive standard libraries (e.g. NLTK) 
- Great support for Deep Learning 
Human language 
Ultimate interface for interaction and communication. 
But something to understand, because it's: 
- highly ambiguous at all level 
- complex and a subtle use of context to convey meaning 
- fu...
- Exam (elaborations)
- • 46 pages's •
-
Natural Language Processing•Natural Language Processing
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Natural Language Processing (CS4990). Top Exam Questions and answers, 100% Accurate, verified 
 
 
Why Python? 
- Shallow learning curve 
- Good string handling 
- Combines OO, aspect-oriented and FP paradigms 
- Extensive standard libraries (e.g. NLTK) 
- Great support for Deep Learning 
Human language 
Ultimate interface for interaction and communication. 
But something to understand, because it's: 
- highly ambiguous at all level 
- complex and a subtle use of context to convey meaning 
- fu...
Natural Language Processing, Top Exam Questions & Answers, 100% Accurate. 
 
 
What is Natural language processing (NLP)?-This is a field of computer science, artificial intelligence and computational linguistics concerned with the interactions between computers and human (natural) languages, and, in particular, concerned with programming computers to fruitfully process large natural language corpora. 
 
Computers_______-Analyze, understand, generate, natural language. 
 
These are the steps to ...
- Exam (elaborations)
- • 4 pages's •
-
Natural Language Processing•Natural Language Processing
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Natural Language Processing, Top Exam Questions & Answers, 100% Accurate. 
 
 
What is Natural language processing (NLP)?-This is a field of computer science, artificial intelligence and computational linguistics concerned with the interactions between computers and human (natural) languages, and, in particular, concerned with programming computers to fruitfully process large natural language corpora. 
 
Computers_______-Analyze, understand, generate, natural language. 
 
These are the steps to ...
Natural Language Processing, Top Exam Questions and answers, 100% Accurate. 
 
 
NLP Challenge 1 - -Part-of-speech tagging 
 
NLP Challenge 2 - -Text segmentation 
 
NLP Challenge 3 - -Word sense disambiguation 
 
NLP Challenge 4 - -Syntax ambiguity 
 
NLP Challenge 5 - -Imperfect or irregular input 
 
NLP Challenge 6 - -Speech acts 
 
WordNet - -A laboriously hand-coded database of English 
words, their definitions, sets of synonyms, and 
various semantic relations between synonym 
sets 
- A ma...
- Exam (elaborations)
- • 5 pages's •
-
Natural Language Processing•Natural Language Processing
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Natural Language Processing, Top Exam Questions and answers, 100% Accurate. 
 
 
NLP Challenge 1 - -Part-of-speech tagging 
 
NLP Challenge 2 - -Text segmentation 
 
NLP Challenge 3 - -Word sense disambiguation 
 
NLP Challenge 4 - -Syntax ambiguity 
 
NLP Challenge 5 - -Imperfect or irregular input 
 
NLP Challenge 6 - -Speech acts 
 
WordNet - -A laboriously hand-coded database of English 
words, their definitions, sets of synonyms, and 
various semantic relations between synonym 
sets 
- A ma...
Natural language processing, Top Questions and answers, 100% Accurate. Verified. 
 
 
Natural language processing - -Getting computers to process and produce language 
 
Ultimate goal of nlp - -Getting computers to understand/converse with humans 
 
Transitive - -'John read the book' 
 
Intransitive - -'The book reads well' 
 
Information Retrieval - -Type in a word and get huge list of websites containing that word 
 
Websites ranked in order of...(information retrieval) - -Keywords, morpho...
- Exam (elaborations)
- • 2 pages's •
-
Natural language processing•Natural language processing
Preview 1 out of 2 pages
Natural language processing, Top Questions and answers, 100% Accurate. Verified. 
 
 
Natural language processing - -Getting computers to process and produce language 
 
Ultimate goal of nlp - -Getting computers to understand/converse with humans 
 
Transitive - -'John read the book' 
 
Intransitive - -'The book reads well' 
 
Information Retrieval - -Type in a word and get huge list of websites containing that word 
 
Websites ranked in order of...(information retrieval) - -Keywords, morpho...