Increasing SMT and NMT Performance by Corpus Extension with Free Online Machine Translation Services

2020 ◽  
Author(s):  
Zar Zar Hlaing ◽  
Ye Kyaw Thu ◽  
Thepchai Supnithi ◽  
Ponrudee Netisopakul
Keyword(s):  
Machine Translation ◽  
Translation Services

scholarly journals Is automation changing the translation profession?

2021 ◽  
Vol 0 (0) ◽  
Author(s):  
Anthony Pym ◽  
Ester Torres-Simón
Keyword(s):  
Machine Translation ◽  
Communication Skills ◽  
Service Providers ◽  
Time Data ◽  
Market Segments ◽  
Interactive Communication ◽  
Neural Machine Translation ◽  
History Of ◽  
Translation Services ◽  
Translation Systems

Abstract As a language-intensive profession, translation is of frontline interest in the era of language automation. In particular, the development of neural machine translation systems since 2016 has brought with it fears that soon there will be no more human translators. When considered in terms of the history of automation, however, any such direct effect is far from obvious: the translation industry is still growing and machine translation is only one instance of automation. At the same time, data on remuneration indicate structural wage dispersion in professional translation services, with some signs that this dispersion may increase in certain market segments as automated workflows and translation technologies are adopted more by large language-service providers more than by smaller companies and individual freelancers. An analysis of recent changes in discourses on and in the translation profession further indicates conceptual adjustments in the profession that may be attributed to growing automation, particularly with respect to expanding skills set associated with translation, the tendency to combine translation with other forms of communication, and the use of interactive communication skills to authorize and humanize the results of automation.

scholarly journals Raising Student Consciousness About Machine Translation

2021 ◽  
Vol 2020 (1) ◽  
pp. 386
Author(s):  
Tim Newfields ◽  
Ivan Botev
Keyword(s):  
Foreign Language ◽  
Machine Translation ◽  
Structured Interviews ◽  
Consciousness Raising ◽  
Learning Framework ◽  
Language Classes ◽  
Efl Students ◽  
Speed Up ◽  
Translation Services

With the rise of virtual assistants and the proliferation of digital translation software, such as Google Translate and Weblio that speed up the translator’s work, it is time to question what role, if any, machine translation services should have in foreign language classes. In this paper, the authors describe some activities designed to raise awareness about the use and misuse of machine translation within a task-based learning framework. Inspired by Sharwood-Smith’s 1981 notion of “consciousness-raising”, we outline three activities highlighting the benefits and problems of machine translation. An analysis of two translation exercises by 86 tertiary students in Japan indicated how many felt uncertain of the quality of their translations. Moreover, semi-structured interviews with six respondents following these activities underscored how students felt ambivalent about their translations. We conclude the paper with a discussion of some resources for EFL students seeking to improve their translation skills. デジタル翻訳ソフトの普及に伴い、外国語の授業で機械翻訳サービスが、もしあるとしたらどのような役割を担うべきかを問う時期にきている。本稿では、タスクベース学習の枠組みの中で、機械翻訳の使用と誤用についての認識を高めるためにデザインされたいくつかの活動について説明する。 本稿では、機械翻訳の利点と欠点を強調する三つのアクティビティーを概説する。日本の高等教育機関で学ぶ86人の学生によるふたつの翻訳演習の分析から、多くの学生が自らの翻訳の質に不安を感じていることがわかった。、さらに、これらのアクティビティーの後に実施した6人の学部生への半構造化面接から、多くの学生が翻訳の質を判断するのに苦労していることが明らかになった。締めくくりとして、翻訳スキルの向上を目指すEFLの学生向けのリソースについて考察した。

scholarly journals Can Machine Translation meet the needs of official language minority communities in Canada? A recipient evaluation

2021 ◽  
Vol 8 ◽  
Author(s):  
Lynne Bowker
Keyword(s):  
Machine Translation ◽  
Effective Means ◽  
Cost Effective ◽  
Language Minority ◽  
Official Language ◽  
Minority Communities ◽  
Municipal Governments ◽  
Minimum Requirement ◽  
Official Language Minority ◽  
Translation Services

Canada is an officially bilingual country, but the only legal requirement is for federal services to be offered in both official languages. Therefore, services provided by provincial and municipal governments are typically offered only in the language of the majority, with cost being cited as the main obstacle to providing translation. This paper presents a recipient evaluation designed to determine whether machine translation could be used as a cost-effective means of increasing translation services in Canadian official language minority communities. The results show that not all communities have the same needs, and that raw or rapidly post-edited MT output is more suitable for information assimilation, while maximally post-edited MT output is a minimum requirement when translation is intended as a means of cultural preservation and promotion. The survey also suggests that average recipients are more receptive to MT than are language professionals.

POSTEDITING IN MACHINE TRANSLATION

2020 ◽  
Vol 2020 (30) ◽  
pp. 102-119
Author(s):  
Tetiana Korolova ◽  
Natalya Zhmayeva ◽  
Yulia Kolchah
Keyword(s):  
Machine Translation ◽  
Grammatical Structure ◽  
Incorrect Choice ◽  
Neural Machine Translation ◽  
Translation Quality ◽  
Modern Methods ◽  
Translation Services ◽  
Linguistic Units ◽  
Source Message ◽  
Language Pair

Modern industry of translation services singles out two translation quality levels that can be reached as a result of machine translation (MT) post-editing: good enough quality foresees rendering the main information of the source message, admitting stylistic, syntactic and morphological flaws while quality similar or equal to human translation is a full dress version of a post-edited text, ready to be published. The overview of MT systems enables us to consider Google Neural Machine Translation (GNMT) which is based on the most modern methods of training to reach maximum improvements the most powerful one. When analyzing texts translated by means of Google Translate the following problems were identified: distortion of the referential meaning of the source message, incorrect choice of variant equivalences, lack of terms harmonization, lack of abbreviations rendering, inconformity of linguistic units in persons, numbers and cases, incorrect choice of functional correspondings when rendering absolute constructions, gerund and participial constructions, literal translation of phrases, lack of transformations of the grammatical structure of the source message (additions, rearrangements). Taking into account the classified issues of machine translation as well as the levels of post-editing quality post-editing of the texts translated by means of MT is carried out, demands and recommendations applicable to post-editing results of MT within the language pair under analysis with respect to peculiarities of the specific MT system and the type of translated texts are provided.

scholarly journals Machine translation post-editing – Current situation and the future of translator training in Bulgaria

2021 ◽  
Vol 9 (3) ◽  
pp. 63-75
Author(s):  
Irina Stoyanova-Georgieva ◽  
Keyword(s):  
Machine Translation ◽  
Current Situation ◽  
Current Paper ◽  
Neural Machine Translation ◽  
The Future ◽  
Translator Training ◽  
Translation Services

The current paper is an attempt to analyse the situation on the market for specialised translation services, and more precisely for Machine Translation in Bulgaria. It provides an overview of some of the generic MT systems and analyses the results coming from the translation of two types of text. The aim of the paper is to raise awareness about the results of Neural Machine Translation and to reveal the need for MT post-editing courses.

scholarly journals The German EU Council Presidency Translator

2021 ◽  
Author(s):  
Mārcis Pinnis ◽  
Stephan Busemann ◽  
Artūrs Vasiļevskis ◽  
Josef van Genabith
Keyword(s):  
Machine Translation ◽  
Work Environments ◽  
Computer Assisted ◽  
German Version ◽  
Close Collaboration ◽  
Daily Work ◽  
The Public ◽  
Translation Services ◽  
Council Presidency ◽  
Translation Service

AbstractThis contribution describes the German EU Council Presidency Translator (EUC PT), a machine translation service created for the German EU Council Presidency in the second half of 2020, which is open to the general public. Following a series of earlier presidency translators, the German version exhibits important extensions and improvements. The German EUC PT is the first to integrate systems from commercial vendors, public services, and a research center, using a mix of custom and generic translation engines, and to introduce a new webpage translation widget. A further important feature is the close collaboration with human translators from the German ministries, who were provided with computer-assisted translation tool plugins integrating machine translation services into their daily work environments. Uptake by the public reflects a huge interest in the service, showing the need for breaking language barriers.

Sign in / Sign up

Export Citation Format

Share Document