Development Process of Machine Translation during 1930s-1970s

Machine Translation are increasingly welcomed and used during recent years with the commonly application of Internet and the acceleration of the integration of world economy. To know about the history and development process of Machine Translation during 1930s-1970 s could help researchers gain new insights through restudying old material.

Neural Machine Translation Models with Attention-Based Dropout Layer

In bilingual translation,attention-based Neural Machine Translation(NMT)models are used to achieve synchrony between input and output sequences and the notion of alignment.NMT model has obtained state-of-the-art performance for several language pairs.However,there has been little work exploring useful architectures for Urdu-to-English machine translation.We conducted extensive Urdu-to-English translation experiments using Long short-term memory(LSTM)/Bidirectional recurrent neural networks(Bi-RNN)/Statistical recurrent unit(SRU)/Gated recurrent unit(GRU)/Convolutional neural network(CNN)and Transformer.Experimental results show that Bi-RNN and LSTM with attention mechanism trained iteratively,with a scalable data set,make precise predictions on unseen data.The trained models yielded competitive results by achieving 62.6%and 61%accuracy and 49.67 and 47.14 BLEU scores,respectively.From a qualitative perspective,the translation of the test sets was examined manually,and it was observed that trained models tend to produce repetitive output more frequently.The attention score produced by Bi-RNN and LSTM produced clear alignment,while GRU showed incorrect translation for words,poor alignment and lack of a clear structure.Therefore,we considered refining the attention-based models by defining an additional attention-based dropout layer.Attention dropout fixes alignment errors and minimizes translation errors at the word level.After empirical demonstration and comparison with their counterparts,we found improvement in the quality of the resulting translation system and a decrease in the perplexity and over-translation score.The ability of the proposed model was evaluated using Arabic-English and Persian-English datasets as well.We empirically concluded that adding an attention-based dropout layer helps improve GRU,SRU,and Transformer translation and is considerably more efficient in translation quality and speed.

What Is Going on in the Minds of Translators？ A Review of Studies on Translation Process

Border areas have provided significant new research questions as well as fruitful insights and hypotheses. The cognitive and neuropsychologic study of translation process is a good example of this kind. This paper has surveyed various researches on translation process. Studies related to ＂the black box of translation＂ are divided into two categories, i.e., studies adopting think-aloud protocols, and studies from the physiology and neuroscientific perspectives. It has been noted that those studies on translation process have made some progress in the past years Firstly, the participants have undergone a change from language learners to professional translators or interpreters Secondly, the purposes of the studies have a tendency of gradually becoming specific. Thirdly, more rigorous methodologies have been developed, with more and more new technological approaches being applied

The Analysis on the Translation Process of Chapter Two in A Bite of China

Taking Chapter Two in A Bite of China as research subject, the purpose of the present paper is to analyze the writing and stylistic characteristics, and to introduce the translation process of the text as well as to introduce Chinese cuisine culture to the English world. Based on Skopos Theory and the English translation of the text, this paper analyzes different strategies and methods in the process of translation, including domesticating, foreignizing, inversion, division and so on. This paper also analyzes the difficult problems and the solutions in translation. The author hopes the strategies and specific methods mentioned in this paper can make contribution to practical translation work and chinese food culture in A Bite of China can be better presented in the English world

A Critique of Eye-Tracking Approach in Translation Process Research

With the rapid growth of eye-tracking studies in translation process research, concomitant methodologicalproblems have become increasingly prominent. This paper starts with the discussion of the controversial “eye-mindassumption”, and then focuses on various threats to experimental validity in research design and problems witheye-tracking data filtering and analysis. It is hoped that this discussion would be beneficial to those who are now orwill be engaged in eye-tracking based translation studies.

Research on the Processing Methods of the Computer Format Information Flow in the Network English Translation System

The development o f the network technology, and especially the web search engine, has brought great changes to the field of the English translation. Translators can acquire the background information of the translated texts by using the web search engine correctly, inquire about the correct translation methods of the rare professional terms, apply the fixed sentence patterns, and check the correctness of the translation, so as to improve the translation speed and quality.

Exploring Translation Process and Sociolinguistic Perspective:A Case Study of Figurative Speech

In a large sense,cultural factors interfere in the translation process:Social language is a part of the culture.Based on the light,this study aims at translation and sociolinguistic aspects through figurative speech.The analysis of the translation result from the college students of B-University in the translation class hints that the correlation between translation and cultural interferences should be educated.The result shows that most of the college students put importance on the readability of the translation,less paying attention to the value of figurative speech in context.

The PAD Class Teaching of Business English Translation

The author is constantly thinking of a problem that what kind of teaching method of Business English translation teaching should take in the course of teaching.In this paper,a new kind of teaching mode"PAD class"has been applied to explore the teaching of business English translation course,and to analyse the effect of classroom teaching.

On Model of Translation Beginners' Mechanism of Mental Translation

Translation process is a process of information processing, and also a process of translators' thinking activity. During the process of translation or bilingual communication, translators or bilingual users employ mental translation. To expound how beginners communicate or translate in the bilingual environment, the model of mechanism of mental translation, i.e. match-making mechanism of mental translation, is theoretically constructed.

Emotion,Metaphor and Translation: A Case Study on the English Version of A Dream of Red Mansions

Emotional metaphors abound in the original works and translations of A Dream of Red Mansions. Based on statistical analysis,a combination of qualitative and quantitative research methods are utilized from the perspective of cognitive linguistics to study the emotional metaphors appearing in the first 50 chapters of the novel and their corresponding English translations by Hawkes and the Yang couple.To generalize rules in the translation of emotional metaphors,the emotional metaphor of “Qi” is taken as an example by calculating the ratios of each kind of emotional metaphors and the frequencies of translation methods adopted.The findings suggest that when translating emotional metaphors,translators have selected their strategies from cognitive perspectives to achieve equivalence between the source language and the target language despite some challenges and restrictions.It is thus concluded that the emotional metaphor in the novel cannot be translated directly but can be approached through selection of appropriate translation methods including meaning transfer,meaning deviation and metaphor omission.

Towards On-line Automated Semantic Scoring of English-Chinese Translation

Described and exemplified a semantic scoring system of students' on-line English-Chinese translation. To achieve accurate assessment, the system adopted a comprehensive method which combines semantic scoring with keyword matching scoring. Four kinds of words-verbs, adjectives, adverbs and "the rest" including nouns, pronouns, idioms, prepositions, etc., are identified after parsing. The system treats different words tagged with different part of speech differently. Then it calculated the semantic similarity between these words of the standard versions and those of students' translations by the distinctive differences of the semantic features of these words with the aid of HowNet. The first semantic feature of verbs and the last semantic features of adjectives and adverbs are calculated. "The rest" is scored by keyword matching. The experiment results show that the semantic scoring system is applicable in fulfilling the task of scoring students' on-line English-Chinese translations.

An On-line Assessment System for English-Chinese Translation

On-line assessment of English-Chinese translation is a challenging task as it involves natural language processing.YanFa,an on-line assessment system for English-Chinese translation,is a pilot research project into scoring student's translation on-line.Based on the theory of translation equivalence,an algorithm called "conceptual similarity matching" was developed.YanFa can assess students' translation on-line timely,generate test papers automatically,offer standard versions of translation,and the scores of each sentence to students.The evaluation proves that YanFa is practical compared with the scores given by experts.

Graph-based Lexicalized Reordering Models for Statistical Machine Translation

Lexicalized reordering models are very important components of phrasebased translation systems.By examining the reordering relationships between adjacent phrases,conventional methods learn these models from the word aligned bilingual corpus,while ignoring the effect of the number of adjacent bilingual phrases.In this paper,we propose a method to take the number of adjacent phrases into account for better estimation of reordering models.Instead of just checking whether there is one phrase adjacent to a given phrase,our method firstly uses a compact structure named reordering graph to represent all phrase segmentations of a parallel sentence,then the effect of the adjacent phrase number can be quantified in a forward-backward fashion,and finally incorporated into the estimation of reordering models.Experimental results on the NIST Chinese-English and WMT French-Spanish data sets show that our approach significantly outperforms the baseline method.

A Discussion on Translation of Investment Materials

Due to the accelerating development of China's economy and globalization, the English translation of investment projects becomes more and more important. This thesis discusses the translation process, which includes preparation before translation and translation process control. This thesis analyzes the following problems such as translation of terminology and long sentence, textual characteristics and cohesion, etc. through case study and tries to discuss translation strategies and skills on the basis of Skopos Theory, and at last the author summarizes what has learnt from the translation.

A Study of Idiom Translation in Bonsall’s The Red Chamber Dream

This paper combines quantitative and qualitative methods to analyze the translation characteristics of idioms in B.S.Bonsall’s full English translation of The Red Chamber Dream,starting from George Steiner’s fourfold hermeneutic motion:trust,aggression,incorporation,and restitution.Through data statistics and conclusion analysis,I concluded that the translation strategies of idioms in Bonsall’s English translation are mainly literal translations,supplemented by free translations,and literal translations combined with free translations,which also provides some enlightenment for the English translation of Chinese classics.

On Annotation in Subtitle Translation Under Relevance Translation Theory——A Case Study of The Big Bang Theory Season One to Four

Annotations in the subtitle translation of The Big Bang Theory season one to four can be categorized into cultural and linguistic phenomena.Guided by relevance translation theory,translation should achieve the biggest contextual effects with the least processing efforts by audience.It is argued that annotations intensify contextual effects by providing information and characterization.Nevertheless,it is uncertain whether these annotations reduce the audience’s efforts to comprehend.

Transitivity Analysis on Extract of Autumn in Peiping and Its Three English Translations

Based on Systemic Functional Grammar,it comparatively analyzes an extract of the essay Autumn in Peiping by Yu Dafuand its translated versions from the perspective of transitivity.The appreciation and perception can be better achieved by analyzingthe process of the source text and the target texts.On the other hand,transitivity analysis can provide insight to the study of transla-tion.Finally,it testifies the appliability of systemic functional grammar in discourse analysis and translation studies.

A Robust Model for Translating Arabic Sign Language into Spoken Arabic Using Deep Learning

This study presents a novel and innovative approach to auto-matically translating Arabic Sign Language(ATSL)into spoken Arabic.The proposed solution utilizes a deep learning-based classification approach and the transfer learning technique to retrain 12 image recognition models.The image-based translation method maps sign language gestures to corre-sponding letters or words using distance measures and classification as a machine learning technique.The results show that the proposed model is more accurate and faster than traditional image-based models in classifying Arabic-language signs,with a translation accuracy of 93.7%.This research makes a significant contribution to the field of ATSL.It offers a practical solution for improving communication for individuals with special needs,such as the deaf and mute community.This work demonstrates the potential of deep learning techniques in translating sign language into natural language and highlights the importance of ATSL in facilitating communication for individuals with disabilities.

A Motivation Framework to Promote Knowledge Translation in Healthcare

Globally,there is a great gulf between medical knowledge and clinical practice.Translating knowledge into clinical decision support(CDS) application has become the biggest challenge faced by evidence based medicine.This paper proposed a comprehensive motivation framework to facilitate knowledge translation in healthcare.Based on a unified medical knowledge ontology and knowledge base,the framework provides an infrastructure of fundamental services,such as inference service and data acquisition,to support development of knowledge-driven CDS applications and integration into clinical workflow.The framework has been implemented in a 2600-bed Chinese hospital,and is able to reduce the time and cost of developing typical CDS applications.

基于AI算法的自然语言信息提取-翻译-校对系统设计

自20世纪90年代起,随着人工智能(AI)的飞速发展及其与深度学习等机器学习方法的广泛融合,自然语言处理(NLP)作为人工智能的核心,也取得了令人瞩目的进步。而随着国际学术交流、世界文化交融愈加频繁,人们搜寻、阅读他国网络信息的现实需求也随之增多。当信息搜寻者在搜寻非母语信息时,不仅会出现语言障碍问题,还会因错综复杂、层次不齐的各色信息而产生诸多不便。为了便于信息搜寻者快速高效地获取有用信息,文中基于人工智能算法(PageRank/TextRank)设计一种信息提取-翻译-校对(ETP)系统。系统通过AI自动搜索阅读页面上的重要信息和文本摘取,生成摘要,并基于机器翻译API模块完成翻译;其次,采用智能校对系统完成校对审核后,将信息呈现给搜寻者,以供其对全部信息高效且准确地进行预筛选,从而节省阅读时间和精力。最后对系统算法所实现的功能进行实验测试,结果达到预期。