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Questions and Answers
What is the study of language at the level of sounds?
Which category of knowledge concerns word-formation?
What does the syntax level study in NLP?
What does semantics in NLP concern?
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What is the core task of Natural Language Processing (NLP)?
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Which of the following is NOT a common NLP task?
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How are natural languages different from computer programming languages?
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What does the term 'Corpus' refer to in the context of NLP?
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What is the focus of the Discourse Integration analysis?
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Which stage of the NLP system pipeline involves extracting features and structured numerical data from natural language text?
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What does Pragmatic Analysis in NLP system explain?
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What can be done once structured numerical data has been extracted from natural language in the NLP system?
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NPL are intended to be translated into a finite set of mathematical operations, like programming languages are
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The study of language at the level of sounds
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The study of the combination of sounds into organized units of speech
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often separated from each other by whitespace, or other symbols
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Text Normalization are also refers to Chatbot
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converting it to a more convenient, standard form
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used to understand and generate human language, utilizing Inferences, or logical extrapolations from a set of conditions
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Corpora is a Collection of text often used as datasets in NLP methods
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Collection of words or sequences that are indexed
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is the extension of the meanings or semantics
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It concerns connected sentences. It includes the study of chunks of language which are bigger than a single sentence.
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is nothing but everyday knowledge that all the speakers share about the world
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This analysis involves identifying and analyzing the structure of words
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Phonological analysis tries to understand distinct words according to their morphemes, which are defined as the smallest units of meaning
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This level is applicable only if the text is generated from the speech and deals with the interpretation of speech sounds within and across different words
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In Syntactic Analysis, words of a sentence are analyzed so as to uncover the grammatical structure of the sentence
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the possible meanings of a sentence are determined based on the interactions among word-level meanings in the sentence
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The focus on this analysis is on the properties of the text as a whole that convey meaning by making connections between the different components of the sentences.
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In this analysis, we explain how extra meaning is read into texts without actually being encoded in them. This analysis requires to have an idea of World knowledge, Understanding of intentions, plans, and goals, etc.
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NPL system is often referred to as a _______
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Pipeline for a Chatbot:
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Extract features, structured numerical data, from natural language text
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Plan statements based on conversation history and objectives, and select the next response.
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Generate and combine features by scoring text for sentiment, grammaticality, and semantics.
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Parse - compose possible responses using templates, search, or language models
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It involves several stages of processing where natural language flows in one end and the process output flows out of the other.
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It means a sense of the context.
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Words can be broken down into three morphemes named
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concerns inter-sentential links that is how the immediately preceding sentences affect the interpretation of the next sentence
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deals with the contextual aspects of meaning in particular situations.
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Natural languages can’t be directly translated into a precise set of mathematical operations
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This involves translating natural language into ______ that a computer can use to learn about the world.
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Natural languages can be directly translated into a precise set of mathematical operations.
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Study Notes
Language and Sound
- Phonological analysis studies language at the sound level, focusing on distinct words identified by their morphemes, the smallest units of meaning.
- Syntax in NLP examines the grammatical structure of sentences by analyzing how words are arranged and interact to form meaning.
Word Formation and Semantics
- Morphology relates to word formation, encompassing the combination of sounds into organized speech units.
- Semantics focuses on the meaning of sentences derived from interactions among word-level meanings and the overall context they create.
Core NLP Tasks
- Core tasks in Natural Language Processing (NLP) include converting natural language text into structured numerical data.
- Common NLP tasks may exclude those such as basic string manipulation, which doesn't involve complex language processing.
Natural vs. Computer Languages
- Natural languages differ from computer programming languages due to their complexity and ambiguity; they can't be directly translated into mathematical operations.
- The term 'Corpus' refers to a collection of texts used as datasets in NLP methods.
Discourse and Pragmatic Analysis
- Discourse Integration analyzes interconnected sentences and the context that shapes their interpretation.
- Pragmatic Analysis explains how additional meaning is inferred from text beyond the literal content, incorporating world knowledge and contextual intentions.
NLP System Pipeline
- The NLP system pipeline involves several stages, including feature extraction from natural language, planning responses, and generating text based on conversation history.
- Once structured data is extracted, it can be used for various applications, including machine learning for language understanding.
Contextual Understanding
- Understanding contextual aspects of meaning is crucial in NLP, as it takes into account how previous sentences influence the interpretation of current sentences.
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Description
Learn about the basic concepts and paradigms of Natural Language Processing (NLP) in Computer Science and AI. Understand how NLP involves processing natural languages and translating them into data that computers can use to learn about the world.
