3 data from adverb to noun

Oct 13, 2025 by magicalceylontours.com 14 views

The Translation Shift of Google Translate in Translating Sports News on CNN: A Descriptive Qualitative Analysis

Introduction

In today's digital age, translation tools have become an essential part of our daily lives. Google Translate, in particular, has revolutionized the way we communicate across languages. However, the accuracy and reliability of these tools are often questioned, especially in contexts that require high precision, such as sports news. This study aims to investigate the types of class shifts applied by Google Translate when translating sports news from CNN into Indonesian. By using a descriptive qualitative approach, this research collects data from a number of news articles in English written by George Ramsay and Ben Church in CNN in 2021.

Background

Google Translate is a machine translation tool that uses artificial intelligence to translate text from one language to another. While it has become an indispensable tool for many, its limitations and potential biases have been a subject of debate among linguists and translation scholars. In the context of sports news, accuracy and precision are crucial, as even a small mistake can change the meaning of a sentence or convey a different message altogether. This study seeks to identify the types of class shifts applied by Google Translate when translating sports news from CNN into Indonesian.

Methodology

This study uses a descriptive qualitative approach to collect data from a number of news articles in English written by George Ramsay and Ben Church in CNN in 2021. The articles used as the source of data include:

'I Felt My Body Was Still Capable': Meet The Moms Hoping to Shine at the Olympics (7 April 2021)
Paul Pogba Follows Cristiano Ronaldo's Lead by Removing Display Drink During a Press Conference (June 17, 2021)
Cristiano Ronaldo Makes History At Euro 2020 as Portugal Beats Hungary (June 16, 2021)

The translation produced by Google Translate was identified using Catford's theory, which explains the types of class shifts in translation. The data collected were then analyzed to identify the types of class shifts applied by Google Translate.

Analysis of Research Results

Based on the analysis, the types of class shifts found consist of:

3 data from adverb to noun: This type of shift can make sentences more straightforward, but can sacrifice certain nuances contained in the original expression.
2 data from noun to verb: This type of shift can change the meaning of a sentence or convey a different message altogether.
1 Data from Preposition to Adverb: This type of shift can affect the overall meaning of a sentence.
3 data from adverb to verb: This type of shift can change the meaning of a sentence or convey a different message altogether.
1 data from verb to preposition: This type of shift can affect the overall meaning of a sentence.
2 data from noun to adjective: This type of shift can change the meaning of a sentence or convey a different message altogether.
1 data from phrasal verb to verb: This type of shift can affect the overall meaning of a sentence.
4 data from adjective to noun: This type of shift can make sentences more straightforward, but can sacrifice certain nuances contained in the original expression.
1 data from adjective to adverb: This type of shift can affect the overall meaning of a sentence.
1 data from adjective to verb: This type of shift can change the meaning of a sentence or convey a different message altogether.

These findings indicate that the translation process by Google Translate not only considers the meaning of the word, but also how the class change can affect the overall meaning in the news context.

Added Value for Readers

It is essential to note that although Google Translate is a useful tool, the results of the translation must be checked and not fully reliable, especially in contexts that require high precision such as sports news. The reader is expected to understand the potential for deficiencies in automatic translation tools, as well as aware of changes that may occur in sentence structure when translated. In a fast and dynamic news context, a deep understanding of this class shift is very important to interpret information precisely.

With this analysis, it is expected that readers can better appreciate the translation process and use Google Translate in a wiser way. The article not only includes the delivery of news, but also the wealth of the language in it which may be lost in the translation process. Therefore, active participation and understanding of the context and culture related to sports news becomes very important.

Conclusion

In conclusion, this study has identified the types of class shifts applied by Google Translate when translating sports news from CNN into Indonesian. The findings indicate that the translation process by Google Translate not only considers the meaning of the word, but also how the class change can affect the overall meaning in the news context. It is essential to note that although Google Translate is a useful tool, the results of the translation must be checked and not fully reliable, especially in contexts that require high precision such as sports news. The reader is expected to understand the potential for deficiencies in automatic translation tools, as well as aware of changes that may occur in sentence structure when translated.
Q&A: Understanding the Translation Shift of Google Translate in Translating Sports News on CNN

Introduction

In our previous article, we discussed the translation shift of Google Translate in translating sports news on CNN. We analyzed the types of class shifts applied by Google Translate when translating sports news from CNN into Indonesian. In this article, we will answer some of the most frequently asked questions about the translation shift of Google Translate in translating sports news on CNN.

Q: What is the purpose of this study?

A: The purpose of this study is to investigate the types of class shifts applied by Google Translate when translating sports news from CNN into Indonesian. We aim to identify the potential biases and limitations of Google Translate in translating sports news and to provide insights on how to use this tool more effectively.

Q: What are the types of class shifts applied by Google Translate?

A: The types of class shifts applied by Google Translate include:

Adverb to noun
Noun to verb
Preposition to adverb
Adverb to verb
Verb to preposition
Noun to adjective
Phrasal verb to verb
Adjective to noun
Adjective to adverb
Adjective to verb

Q: How do these class shifts affect the meaning of a sentence?

A: The class shifts applied by Google Translate can affect the meaning of a sentence in various ways. For example, a shift from adverb to noun can make a sentence more straightforward, but can sacrifice certain nuances contained in the original expression. A shift from noun to verb can change the meaning of a sentence or convey a different message altogether.

Q: Why is it essential to understand the translation shift of Google Translate in translating sports news on CNN?

A: It is essential to understand the translation shift of Google Translate in translating sports news on CNN because sports news requires high precision and accuracy. Even a small mistake can change the meaning of a sentence or convey a different message altogether. By understanding the translation shift of Google Translate, readers can better appreciate the translation process and use this tool more effectively.

Q: What are the limitations of Google Translate in translating sports news on CNN?

A: The limitations of Google Translate in translating sports news on CNN include:

Potential biases and limitations in translating certain words or phrases
Inability to capture nuances and subtleties of language
Inability to understand context and culture related to sports news
Inability to translate idiomatic expressions and colloquialisms

Q: How can readers use Google Translate more effectively in translating sports news on CNN?

A: Readers can use Google Translate more effectively in translating sports news on CNN by:

Understanding the potential biases and limitations of Google Translate
Being aware of changes that may occur in sentence structure when translated
Checking the results of the translation for accuracy and precision
Using additional resources, such as dictionaries and thesauruses, to verify the accuracy of the translation

Q: What are the implications of this study for the use of Google Translate in translating sports news on CNN?

A: The implications of this study for the use of Google Translate in translating sports news on CNN are:

Google Translate should be used with caution and careful consideration of its limitations and potential biases
Readers should be aware of changes that may occur in sentence structure when translated
Additional resources, such as dictionaries and thesauruses, should be used to verify the accuracy of the translation
The use of Google Translate should be complemented with human translation and editing to ensure accuracy and precision.

Conclusion

In conclusion, this Q&A article provides insights on the translation shift of Google Translate in translating sports news on CNN. We hope that this article will help readers better understand the potential biases and limitations of Google Translate and use this tool more effectively in translating sports news on CNN.