AI News, NLP Fundamentals: Where Humans Team Up With Machines To Help ItSpeak

NLP Fundamentals: Where Humans Team Up With Machines To Help ItSpeak

It involves intelligent analysis of written language using NLP techniques to get insights from set of textual data like Sentiment Analysis Information Extraction & Retrieval Smart Search etc… NLP Components Types : NLP is classified basically into two major components Natural Language Understanding (NLU) Mapping the given input in natural language into useful representations.

Steps Involved In NLP Implementation : Image Source It covers 5 major steps like − Lexical Analysis − It identifies and analyzes the structure of the given word, here the whole chunk of text data is broken down to paragraphs, sentences and words in lexical analysis.

Any sentences which is not grammatically correct gets rejected at this stage for example, “ building lives in sita “ will not be accepted by the syntactic analyzer Semantic Analysis − It analyses the given text to extract the meaning from it.

The semantic analyzer rejects the irrelevant sentence like “hot banana” Discourse Integration − As we know that each sentence is interconnected to its previous sentence and any sentence becomes meaningful based on the meaning of the penultimate sentence.Similarly it also makes the succeeding sentence meaningful Pragmatic Analysis − During this, what was said is re-interpreted on what it actually meant.

Artificial Intelligence Tutorial AI - Home AI - Overview AI - Intelligent Systems AI - Research Areas AI - Agents and Environments AI - Popular Search Algorithms AI - Fuzzy Logic Systems AI - Natural Language Processing AI - Expert Systems AI - Robotics AI - Neural Networks AI - Issues AI - Terminology Artificial Intelligence Resources Artificial Intelligence - Quick Guide AI - Useful Resources Artificial Intelligence - Discussion Selected Reading Developer's Best Practices Questions and Answers Effective Resume Writing HR Interview Questions Computer Glossary Who is Who AI - Natural Language Processing Advertisements Previous Page Next Page Natural Language Processing (NLP) refers to AI method of communicating with an intelligent systems using a natural language such as English.

Processing of Natural Language is required when you want an intelligent system like robot to perform as per your instructions, when you want to hear decision from a dialogue based clinical expert system, etc.

The input and output of an NLP system can be − Speech Written Text Components of NLP There are two components of NLP as given − Natural Language Understanding (NLU) Understanding involves the following tasks − Mapping the given input in natural language into useful representations.

Implementation Aspects of Syntactic Analysis There are a number of algorithms researchers have developed for syntactic analysis, but we consider only the following simple methods − Context-Free Grammar Top-Down Parser Let us see them in detail − Context-Free Grammar It is the grammar that consists rules with a single symbol on the left-hand side of the rewrite rules.

In order for the parsing algorithm to construct this parse tree, a set of rewrite rules, which describe what tree structures are legal, need to be constructed.

For example, “The grains peck the bird”, is a syntactically correct according to parser, but even if it makes no sense, parser takes it as a correct sentence.

It may require a completely different sets of rules for parsing singular and plural variations, passive sentences, etc., which can lead to creation of huge set of rules that are unmanageable.

Top-Down Parser Here, the parser starts with the S symbol and attempts to rewrite it into a sequence of terminal symbols that matches the classes of the words in the input sentence until it consists entirely of terminal symbols.

Lecture 2 | Word Vector Representations: word2vec

Lecture 2 continues the discussion on the concept of representing words as numeric vectors and popular approaches to designing word vectors. Key phrases: Natural Language Processing. Word...

Syntactical Analysis - Programming Languages

This video is part of an online course, Programming Languages. Check out the course here:

Memoization For Parsing - Programming Languages

This video is part of an online course, Programming Languages. Check out the course here:

Mod-02 Lec-02 Lexical Analysis - Part 1

Principles of Compiler Design by Prof. Y.N. Srikanth,Department of Computer Science and Engineering,IISc Bangalore.For more details on NPTEL visit

Google Developer Days Europe 2017 - Day 1 (Auditorium)

Check in to the livestream to watch day 1 of GDD Europe '17! This livestream will cover all sessions taking place on the Auditorium stage of the ICE Congress Center here in Krakow, Poland....

Search for Rio: NBC Olympics and Azure Search

Microsoft Azure Search is a platform-as-a-service offering that enables scalable, streamlined, and flexible search in the cloud. NBC Sports uses Azure Search to surface articles, athlete data,...

Phishing

Phishing is the attempt to acquire sensitive information such as usernames, passwords, and credit card details (and sometimes, indirectly, money) by masquerading as a trustworthy entity in...