Some Challenges in Using Computer-Aided Translation Tools to Facilitate Second Language Fluency in Education

Excell, Dianne

doi:10.33166/aetic.2019.02.003

Cited by 7 publications

(5 citation statements)

References 5 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In this paper, we discuss the preliminary experiment on the MT for an underresourced language within Malay-Kadazandusun using direct machine translation or DMT. The findings in this paper agree with the study presented in [23], where challenges for e-translation tools, specifically for contextual understanding and translation quality are imminent. This problem is far more difficult for a language with limited resources where the language preservation activities, experienced practitioners, and software development practitioners are still finding the best form of collaboration.…”

Section: Discussionsupporting

confidence: 91%

The Application of Computer-Aided Under-Resourced Language Translation for Malay into Kadazandusun

Sainin,

Sintian,

Alias

et al. 2023

AETiC

View full text Add to dashboard Cite

A computer-aided language translation using a Machine translation (MT) is an application performed by computers (machines) that translates one natural language to another. There are many online language translation tools, but thus far none offers a sequence of text translations for the under-resourced Kadazandusun language. Although there are web-based and mobile applications of Kadazandusun dictionaries available, the systems do not translate more than one word. Hence, this paper aims to present the discussion of the preliminary translation of Malay to Kadazandusun. The basic word-to-word with dictionary alignment translation based on Direct Machine Translation (DMT) is selected to begin the exploration of the translation domain where DMT is one of the earliest translation methods which relies on the word-to-word approach (sequence-to-sequence model). This paper aims to investigate the under-resourced language and the task of translating from the Malay language to the Kadazandusun language or vice versa. This paper presents the application and the process as well as the results of the system according to the basic Kadazandusun word arrangement (Verb-Subject-Object) and its translation quality using the Bilingual Evaluation Understudy (BLEU) score. Several phases are involved during the process, including data collection (word pair translation), preprocessing, text selection, translation procedures, and performance evaluation. The preliminary language translation approach is proven to be capable of producing up to 0.5 BLEU scores which indicate that the translation is readable, however, requires post-editing for better comprehension. The findings are significant for the quality of the under-resourced language translation and as a starting point for other machine translation methodologies such as statistical or deep learning-based translation.

show abstract

Section: Discussionsupporting

confidence: 91%

The Application of Computer-Aided Under-Resourced Language Translation for Malay into Kadazandusun

Sainin,

Sintian,

Alias

et al. 2023

AETiC

View full text Add to dashboard Cite

show abstract

“…Its biggest advantage is that it will be distributed in different places. The translation service human resources are integrated to form a large-scale and standardized translation project management, so as to provide comprehensive services for the development of local business and trade and cultural exchanges [3].…”

Section: Cloud Translation Platform Employed At Home and Abroadmentioning

confidence: 99%

On Neural Machine Translation Based on Cloud Platform in the Context of Artificial Intelligence

Gui¹

2022

Proceedings of the 2022 2nd International Conference on Computer Technology and Media Convergence Design (CTMCD 2022)

View full text Add to dashboard Cite

The research of machine translation has gone through the era of machine translation based on grammar rules, case data and statistical methods.Up to now, it has become a neural machine translation designed with coding and decoding as the basic framework and using neural network to model the translation process. It is illustrated how the human-computer co-translation can be applied based on translation technology cloud platforms so as to greatly enhance the translation productivity.

show abstract

“…A glossary is a list of bilingual or multilingual comparison words, including auxiliary information such as definition, subject, part of speech, etc. [10]. There are cloud corpus data platforms at home and abroad.…”

Section: Computer-aided Translation Technologymentioning

confidence: 99%

Application of Computer-Aided Translation in Interpretation Learning Under the New Liberal Arts Horizon

Gui¹

2022

Proceedings of the 2022 2nd International Conference on Education, Information Management and Service Science (EIMSS 2022)

View full text Add to dashboard Cite

In the context of the development and prosperity of economic globalization, translation, as a means of information transmission in intercultural communication, plays an increasingly important role. The translation market has an increasing demand for talents, which requires higher quality of talents. However, the training speed of translation talents in colleges and universities is relatively slow. This paper mainly studies the application of computer-aided translation in interpreting learning from the perspective of new liberal arts. This paper first introduces the new arts and computer-aided translation related content, and then discusses the application of computer-aided translation in practical teaching. Through the comparison of the results of pre-test and post-test, it can be seen that the experimental class which applied computer-aided translation in interpreting learning has made great progress, showing a difference with the control class.

show abstract

Some Challenges in Using Computer-Aided Translation Tools to Facilitate Second Language Fluency in Education

Cited by 7 publications

References 5 publications

The Application of Computer-Aided Under-Resourced Language Translation for Malay into Kadazandusun

The Application of Computer-Aided Under-Resourced Language Translation for Malay into Kadazandusun

On Neural Machine Translation Based on Cloud Platform in the Context of Artificial Intelligence

Application of Computer-Aided Translation in Interpretation Learning Under the New Liberal Arts Horizon

Contact Info

Product

Resources

About