The Natural Language Processing ( Nlp )

1. Before you begin reading this section use a dictionary to define the following vocabulary:

Summarize: Write a summary of the article that represents its argument and concerns as accurately as possible.

* Speech is vocalised language; it cannot be written or signed. Different children progress with speech in different ways and different stages. Sometimes speech can be slurred or not pronounced in the correct manner.

4 . Wou ld it b e b etter to tra n s m it a ll in voice in form a tion from th e origin to Ta m p a a n d for Ta m p a

You will see these features a lot during your research project, and it is important that you know the purpose of those text features.

SWBAT utilize a Frayer model to generate of Tier 3 government words from a text.

Look at the word and identify the consonant/vowel pattern. Read each letter and then the letters together until you have read the entire

Summarizing – putting a text’s main ideas and main supporting points into one’s own words.

Well, NLP stands for Neuro Linguistic Programming, and it is about how to use the language of the mind to consistently achieve our specific and desired outcomes. It's the visual, auditory, kinaesthetic and olfactory and gustatory that we have and use, and how that plays a part in the Pictures, Sounds, Feelings and Tastes and Smells and Words that we use (Self Talk).

It recognizes the natural speech. Such system is able to handle features of natural language as spontaneous speech may include mispronunciation, false starts and slang

For this section, a video was to be provided to listen to the spoken errors. An attempt to access the video was futile and I made a request for the link to the video to be availed which I haven’t received. Please if the link could be availed I would really appreciate and finish the assignment as soon as possible. So far this is what I have managed to do for the order, part one and part three.

Optical character recognition (OCR) is a technology that allows images of handwritten and typed text to be transferred into machine-encoded text that can then be downloaded into an enterprise data system allowing documents to be edited and searched. OCR technology also allows for processes such as cognitive computing, machine translation, key data entry, and text mining which are other advanced emerging technologies. Beginning versions of OCR technology required computer training of each individual character one at a time. Today, this technology is able to recognize various fonts and support different types of digital images and file inputs. OCR was originally developed to assist those with sight impediments to help them be able to read printed information because when a file is scanned the words

Front-end text processor produces Linguistic representation from the input text. This component does the majority of the text pre-processing and then gives the Linguistic Representation of the text to the Statistical Model. The task of pre-processing varies based on what kind of Front-end it is. There can be two types of front-end.

Highlight extraction/choice distinguishes essential words in a content report. This is done utilizing strategies like TF-IDF (term recurrence opposite report recurrence) [14], LSI (dormant

semantic web and machine learning we can safely say that the age of Intelligent Personal Assistant(IPA) is upon us. A software agent that can do