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Final Portfolio Abstract

Final Portfolio Abstract

Order Description

As you prepare this week to submit your Final Portfolio on your corpus analysis, it is time to think about presenting it professionally with the help of an abstract. The idea of experimenting with different methods and tools in computational linguistics in this course was to encourage you to conduct academic research and to take with you beyond the classroom. The first step in that regard would be a conference presentation. Abstract writing is the single most important art that will help you get approved to present at a conference.

Write all information about your paper down by going to the introduction, methods, results, analysis, and conclusion sections of the paper. However, if you find it hard to decide what information to delete and what to keep go to the website, Writing Abstracts, and scroll down to see the section where informative abstract is explained through the purpose, methodology, results, and conclusion sections. For sample abstracts, you can also look at Multiple Abstracts that precede papers in the Computational Linguistics journal.

When we do a library search for our research, we don’t have time to read each and every article in the search results. Instead, we look at the abstract of the article and decide whether we want to read it or not. Therefore, your abstract is a complete, thorough, but quick snapshot of your paper. The hardest thing to do is to write richly and in the fewest possible words. Your abstract must cover all the main points of your paper and must be packed with information. However, it should be clear and also free of superfluous adjectives and descriptions that take the reader into too much detail. The abstract must begin with an introduction, a sentence or so that broadly lays the context of your research and narrows it down to the main points, and should end with a cohesive concluding sentence or two that ties all points together.

Discussion 2

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Final Portfolio Abstract

Final Portfolio Abstract

Order Description

As you prepare this week to submit your Final Portfolio on your corpus analysis, it is time to think about presenting it professionally with the help of an abstract. The idea of experimenting with different methods and tools in computational linguistics in this course was to encourage you to conduct academic research and to take with you beyond the classroom. The first step in that regard would be a conference presentation. Abstract writing is the single most important art that will help you get approved to present at a conference.

Write all information about your paper down by going to the introduction, methods, results, analysis, and conclusion sections of the paper. However, if you find it hard to decide what information to delete and what to keep go to the website, Writing Abstracts, and scroll down to see the section where informative abstract is explained through the purpose, methodology, results, and conclusion sections. For sample abstracts, you can also look at Multiple Abstracts that precede papers in the Computational Linguistics journal.

When we do a library search for our research, we don’t have time to read each and every article in the search results. Instead, we look at the abstract of the article and decide whether we want to read it or not. Therefore, your abstract is a complete, thorough, but quick snapshot of your paper. The hardest thing to do is to write richly and in the fewest possible words. Your abstract must cover all the main points of your paper and must be packed with information. However, it should be clear and also free of superfluous adjectives and descriptions that take the reader into too much detail. The abstract must begin with an introduction, a sentence or so that broadly lays the context of your research and narrows it down to the main points, and should end with a cohesive concluding sentence or two that ties all points together.

Discussion 2

Responses are currently closed, but you can trackback from your own site.

Comments are closed.

Final Portfolio Abstract

Final Portfolio Abstract

Order Description

As you prepare this week to submit your Final Portfolio on your corpus analysis, it is time to think about presenting it professionally with the help of an abstract. The idea of experimenting with different methods and tools in computational linguistics in this course was to encourage you to conduct academic research and to take with you beyond the classroom. The first step in that regard would be a conference presentation. Abstract writing is the single most important art that will help you get approved to present at a conference.

Write all information about your paper down by going to the introduction, methods, results, analysis, and conclusion sections of the paper. However, if you find it hard to decide what information to delete and what to keep go to the website, Writing Abstracts, and scroll down to see the section where informative abstract is explained through the purpose, methodology, results, and conclusion sections. For sample abstracts, you can also look at Multiple Abstracts that precede papers in the Computational Linguistics journal.

When we do a library search for our research, we don’t have time to read each and every article in the search results. Instead, we look at the abstract of the article and decide whether we want to read it or not. Therefore, your abstract is a complete, thorough, but quick snapshot of your paper. The hardest thing to do is to write richly and in the fewest possible words. Your abstract must cover all the main points of your paper and must be packed with information. However, it should be clear and also free of superfluous adjectives and descriptions that take the reader into too much detail. The abstract must begin with an introduction, a sentence or so that broadly lays the context of your research and narrows it down to the main points, and should end with a cohesive concluding sentence or two that ties all points together.

Discussion 2

Responses are currently closed, but you can trackback from your own site.

Comments are closed.

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