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Natural Language Processing

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Natural language processing is a field of artificial intelligence that deals with reducing the gap between humans and machines. It tries to bridge the gap between human and machine language. There are many different applications in natural language processing some of which include automatic translation, speech understanding, information extraction, question answering, text generation etc. It has proved to be helpful in applications such as optical character recognition systems and ASR systems. Theoretically NLP is “a principled propels range of computational methods for analyzing and presenting naturally getting texts at one or much level of lexical analysis for the design of getting like human language processing for a field of tasks or applications.” …show more content…

The first computer-based application in relation to natural language processing was machine translation. Natural Language Processing has four types of general approaches. They are symbolic, statistical, connectionist and hybrid. While symbolic and statistical approaches have existed since the start, connectionist NLP started from the 1960’s. Statistical approaches transcended in the 1980’s. The tract of natural language processing (NLP) created nearby five decades ago with the machine translation systems. Warren Weaver and Andrew Donald Booth in 1946 discussed the technical feasibility of machine translation. These techniques were developed which were used in the breaking of enemy codes during the 2nd World …show more content…

This kind of Question Answering System has some characteristics which become it distinct from other categories of Question Answering System especially open-domain Question Answering, which performance over a huge document collection, contain the WWW [11].

In closed-domain Question Answering, the database is entirely short and particular to a targeted area so whenever the question is fired accurate response may often be found in only very few documents; the system does not have a huge recovery set abundant of useful candidates for choice.
The close domain Question Answering System necessarily to response for all types of questions whether it is simple or composite in command to usage it as a question answering system for any association or organization. The system should report a complete answer, which can be extended and composite, because it has to, e.g., clarify the context of the problem determined in the question, explain the options of a service, give instructions or procedures,

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However, other constraints can be set as well, e.g., the part-of-speech tag of a specific token in the expression itself or before or after the temporal expression. For the normalization, it use normalization resources containing mappings between an expression and its value in standard format. Furthermore, linguistic clues are applied to normalize ambiguous expressions. For example, the tense of a sentence may indicate the temporal relation between an expression and its reference time.

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6. Bloom’s Taxonomy: • Comprehend • Analyze • Apply 7. Language Requirements: • Tier 2: Analyze, comprehend, apply, infer, draw a conclusion

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Big Idea Comprehension is key when learning what one is reading. Reference to PA and Common Core Standard(s) CC.1.2.3.B:Ask and answer questions about the text and make inferences from text; refer to text to support responses. CC.1.2.3.C: Explain how a series of events, concepts, or steps in a procedure is connected within a text, using language that pertains to time, sequence, and cause/effect.

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In the novel, Jasper Jones, Craig Silvey used a vast range of language and textual features including Symbolism, Allusion, Connotation, Similes and word choice. This is done to construct the character of Charlie as someone that opposes the social norms in the town and supports his close friend, Jasper who is judged and victimised by his race and family history. The town’s people of Corrigan all follow the same path or social norms, that were apparent in the 1960’s and what teenagers should learn, is that you should not let your peers dictate your beliefs and values, making your own choices, like Charlie. When Jasper comes knocking at Charlies window, the audience is lead to believe that Charlie has been given a chance to be reborn and portray

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A language sample analysis (LSA) is a tool that generates the coding and transcriptions of a language sample to document the language used every day in various speaking situations (Miller, Andriacchi, & Nockerts, 2016). Language samples are typically 50-100 words in length and are voice-recorded and then transcribed by the clinician. Language samples are done using spontaneous speech, such as typical conversation, or narrative contexts, such as story or event recalls (Miller, Andriacchi, & Nockerts, 2016). The speech-language pathologist (SLP) will take the recording and write out, in the exact words of the child and clinician, every utterance (Bowen, 2011). The SLP will then "code" the sample.

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In Alan Turing’s paper Computing Machinery and Intelligence, he proposes a thought experiment that would eventually be tested, and even later be beaten. He describes an experiment where a man and a woman are in two different rooms and an outside observer has to guess at the sexes of the participants. He then suggests that one of the participants be replaced with a computer. Once humanity is unable to tell the difference and will guess that the computer is human at the same rate that it will guess that it is a machine will answer Turing’s thesis of, “Can machines think?’ (434).

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Stephen King’s thrilling short story “Word Processor of the Gods” focuses on how technology can affect someone’s sanity. When given the chance to change their life, people take advantage of that and abuse it. Technology has taken over our lives and it could take our sanity if we let it. Some people are strong, but others are weak because they are full of envy. The dynamic character Richard was one of the weak ones because he was envious of his brother Roger.

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