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112832

A Pilot Study of Biber's Model for Language Variation Detection: A Language Engineering Approach

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Last updated: 24 Dec 2024

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Tags

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Abstract

Abstract — this paper is primarily a translation analysis of Tramp's speech and a letter sent to President Trump regarding family separation on “The Leadership Conference on Civil and Human Rights" to locate the differences in translation found between written and speech texts. Google translate is the engine used to translate these two texts into Arabic. The data selected for this analysis is 1000 words in each script. Biber's model (1988) used 67 features to prove that writing is more complicated than speech. The study enforces Biber's claim that writing is more complicated than speech. The findings assure Biber's claim as there were lots of problems in the translation of the speech text into Arabic in comparison to the translated written texts. Our findings strongly support the view that academic writing and conversation have dramatically different linguistic characteristics .The Results clarify the fact that google translate has to be adapted and equipped with a new grammar for speech that is different than the one used for writing to achieve the best outcome for both translations in the same language. This paper is a pioneer in its application as there is no research paper adapted such approach in the field of translation.

DOI

10.21608/ejle.2020.37903.1009

Keywords

translation, Computational, Linguistic variations, Speech, writing

Authors

First Name

Maram

Last Name

Elsaadany

MiddleName

-

Affiliation

English ,Faculty of Arts, Alexandria University

Email

maram.elsaadany@gmail.com

City

-

Orcid

0000-0001-5526-8205

First Name

Sameh

Last Name

Alansary

MiddleName

-

Affiliation

Faculty of Arts, Alexandria University

Email

sameh.alansary@bibalex.org

City

Alexandria

Orcid

-

Volume

7

Article Issue

2

Related Issue

17123

Issue Date

2020-09-01

Receive Date

2020-08-03

Publish Date

2020-09-15

Page Start

32

Page End

40

Print ISSN

2356-8208

Online ISSN

2356-8216

Link

https://ejle.journals.ekb.eg/article_112832.html

Detail API

https://ejle.journals.ekb.eg/service?article_code=112832

Order

3

Type

Original Article

Type Code

1,039

Publication Type

Journal

Publication Title

The Egyptian Journal of Language Engineering

Publication Link

https://ejle.journals.ekb.eg/

MainTitle

A Pilot Study of Biber's Model for Language Variation Detection: A Language Engineering Approach

Details

Type

Article

Created At

22 Jan 2023