scholarly journals Translation Quality Of Tourism Transportation In Website Of Solocity.Travel (Accuracy And Acceptability)

2021 ◽  
Vol 4 (2) ◽  
pp. 98
Author(s):  
Rachwanti Rachwanti ◽  
Ika Oktaria Cahyaningrum
Keyword(s):  
Babel ◽  
2015 ◽  
Vol 61 (2) ◽  
pp. 283-303 ◽  
Author(s):  
Lily Lim ◽  
Kwok Ying Loi

Slogans play an important role in conveying information to targeted audiences, and the translation of slogans tends to be studied under the rubric of public-notice translation. Previous research mainly uses researchers’ expertise to evaluate the quality of this type of translation. Yet, little is known about what the targeted readers think about the translation, although their opinions present key information that helps to determine whether the translation has achieved the intended effect. This paper elicits and systematically analyzes readers’ responses. We investigate the case of Macao, a rapidly growing economy where the demand for English translation has markedly increased in recent decades. Public administration bodies in Macao have commissioned Chinese-to-English translation in varied areas such as tourism, social security and welfare, cultural and sports events. We sampled ten translated slogans that were used in the public sector, and administered survey questionnaires (n=130) to both source-text and target-text readers. The two groups of readers’ evaluations, based on the criteria of fluency, conciseness, persuasiveness and mnemonic effect, reveal that the translations are perceived significantly less favorably than the originals are. Readers most strongly disliked word-for-word translations, and pointed out numerous problems with the translations such as ungrammaticality, inappropriate word use, lack of appeal, and unintelligibility due to insufficient background knowledge. This research demonstrates the tangible value of using readers’ responses to evaluate translation quality. It also has implications for translator training, and recommends that public authorities should institute a rigorous quality assurance system.


Target ◽  
2021 ◽  
Author(s):  
Silvia Parra-Galiano

Abstract This article proposes a hierarchy of translator and reviser competences in prototypical scenarios in legal translation with a view to determining the most appropriate revision foci to ensure translation quality. Built on a prior characterisation of the most common professional translator profiles in legal translation, the proposal for a hierarchy of competences derives from two premises: (1) The professional profile of those who translate and revise legal documents is very diverse in terms of competence and qualifications (training and experience), and (2) translation competence and specialist knowledge in legal fields (i.e., domain competence) are fundamental when revising to guarantee the quality of legal translations. The proposal is framed by quality assurance in legal translation through a revision process based on (1) the coherent management of the work of the translators and revisers involved in the translation project, and (2) the appropriate methodology for revision applied to legal translation by adapting the revision mode’s focus to ensure its effectiveness. Six common scenarios are identified in light of the translators’ profiles, for which revisers’ profiles are then proposed in order to detect any legal translation competence deficiencies among translators, and thus ensure quality.


Author(s):  
Raj Dabre ◽  
Atsushi Fujita

In encoder-decoder based sequence-to-sequence modeling, the most common practice is to stack a number of recurrent, convolutional, or feed-forward layers in the encoder and decoder. While the addition of each new layer improves the sequence generation quality, this also leads to a significant increase in the number of parameters. In this paper, we propose to share parameters across all layers thereby leading to a recurrently stacked sequence-to-sequence model. We report on an extensive case study on neural machine translation (NMT) using our proposed method, experimenting with a variety of datasets. We empirically show that the translation quality of a model that recurrently stacks a single-layer 6 times, despite its significantly fewer parameters, approaches that of a model that stacks 6 different layers. We also show how our method can benefit from a prevalent way for improving NMT, i.e., extending training data with pseudo-parallel corpora generated by back-translation. We then analyze the effects of recurrently stacked layers by visualizing the attentions of models that use recurrently stacked layers and models that do not. Finally, we explore the limits of parameter sharing where we share even the parameters between the encoder and decoder in addition to recurrent stacking of layers.


2018 ◽  
Vol 30 (2) ◽  
pp. 176 ◽  
Author(s):  
Ria Aresta

Translating the implied meanings in utterances is one of the trickiest situations translators may confront. One example is in translating utterances that flout the maxim of quality. When a speaker flouts the maxim of quality, they are implying further information that is not represented in the utterance. Translators use various translation techniques in order to convey the meaning of the original text in the most appropriate and acceptable form in the target text. This study investigates how translation techniques may affect the quality of a translation. The approach implemented in this study is pragmatics in translation. This study belongs to the field of descriptive qualitative research with an embedded case study. For data, we look at all the utterances which may be said to be flouting the maxim of quality in the source text and its translation. Content analysis and focus group discussion were applied as the methods to collect and analyze the data. A focus group discussion was used to assess translation quality. The majority of the data was classified as accurate and acceptable, while the rest was considered less accurate and inaccurate due to the application of the translation technique amplification (addition), discursive creation and literal translation. Some data was also found to be less acceptable due to literal translation and pure borrowing.


2018 ◽  
Vol 8 (6) ◽  
pp. 3512-3514
Author(s):  
D. Chopra ◽  
N. Joshi ◽  
I. Mathur

Machine translation (MT) has been a topic of great research during the last sixty years, but, improving its quality is still considered an open problem. In the current paper, we will discuss improvements in MT quality by the use of the ensemble approach. We performed MT from English to Hindi using 6 MT different engines described in this paper. We found that the quality of MT is improved by using a combination of various approaches as compared to the simple baseline approach for performing MT from source to target text.


2017 ◽  
Vol 7 (7) ◽  
pp. 31 ◽  
Author(s):  
Andrejs Veisbergs

The period of German occupation in Latvia came after twenty years of Latvian independence and a year of Soviet occupation. The shifts in the translation policies at these critical junctions were incredibly fast. The independence period was marked by a developed translation industry, a variety of the source languages, a variety of kinds of literature, with a broad scope in the quality of the translations. When the Soviets came, they quickly nationalized the publishers, ideologised the system and reshaped the pattern of what was translated. Russian was made the main source language, and other languages were minimized. The share of ideological literature grew exponentially, reaching one third of all books. Soon after the German invasion, the publishers regained their printing houses and publishing was renewed. The percentage of translations was similar to that of the independence period, with German literature making up 70% of the source texts. Most of the other source texts were Nordic and Estonian. Translation quality of fiction was generally high and the print runs grew. There are surprisingly few ideologically motivated translations. The official policies of the regime as regards publishing in Latvia appear to be uncoordinated and vague, with occasional decisions taken by “gate-keepers” in the Ostministerium and other authorities according to their own preferences. There was a nominal pre-censorship, but the publishers were expected to know and sense what was acceptable. In turn the latter played it safe, sticking to classical and serious works to translate and publish. Some high class translations of Latvian classics into German were also published during the period.


2020 ◽  
Vol 15 (2) ◽  
pp. 253-260
Author(s):  
Moh. Zawawi ◽  
Devi Laila Maghfiroh

Sarcasm is a harsher style of satire in hurtful jokes with a specific purpose. Sarcasm is the dominant language style used in Mark Manson's The Subtle Art of Not Giving A Fuck. This study aims to identify sentence forms of sarcasm and analyze the translation quality of sarcastic expressions. This translation study employs a qualitative descriptive design. The research data takes the form of sentences containing sarcasm and its translation. The data is collected through document analysis, interviews, and focus group discussions. The results showed four types of sarcasm in the book The Subtle Art of Not Giving A Fuck, including ridicule, satire, proximity, and humor. Besides, the translation quality of the book The Subtle Art of Not Giving A Fuck has a high level of accuracy, acceptability, and readability, evidenced by the proper use of eleven translation techniques applied by the translator to 145 data. The frequent techniques contributing to the quality of translation are compensation, adaptation, transposition, and modulation techniques.


Author(s):  
Yang Zhao ◽  
Jiajun Zhang ◽  
Yu Zhou ◽  
Chengqing Zong

Knowledge graphs (KGs) store much structured information on various entities, many of which are not covered by the parallel sentence pairs of neural machine translation (NMT). To improve the translation quality of these entities, in this paper we propose a novel KGs enhanced NMT method. Specifically, we first induce the new translation results of these entities by transforming the source and target KGs into a unified semantic space. We then generate adequate pseudo parallel sentence pairs that contain these induced entity pairs. Finally, NMT model is jointly trained by the original and pseudo sentence pairs. The extensive experiments on Chinese-to-English and Englishto-Japanese translation tasks demonstrate that our method significantly outperforms the strong baseline models in translation quality, especially in handling the induced entities.


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