Sentence-Level Paraphrasing for Machine Translation System Combination

In this paper, we propose to enhance machine translation system combination (MTSC) with a sentence-level paraphrasing model trained by a neural network. This work extends the number of candidates in MTSC by paraphrasing the whole original MT translation sentences. First we train a neural paraphrasing model of Encoder-Decoder, and leverage the model to paraphrase the MT system outputs to generate synonymous candidates in the semantic space. Then we merge all of them into a single improved translation by a state-of-the-art system combination approach (MEMT) adding some new paraphrasing features. Our experimental results show a significant improvement of 0.28 BLEU points on the WMT2011 test data and 0.41 BLEU points without considering the out-of-vocabulary (OOV) words for the sentence-level paraphrasing model.

WORD BASED MACHINE TRANSLATION SYSTEM

This paper compared several methods of machine translation(MT) design, drew lessons from the idea of phrase structure, GPSG, HPSG and Corpus, took words as the core, built a set of word rules, and developed an English Chinese Machine Translation System based on it. The paper also discussed some technical problems on building MT system, and provided an estimation principle for using rules. With this principle the syntax ambiguities in MT system are solved better.

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.

Effective extraction of polyribosomes from astrocytes enables future discoveries on translation regulation

Translation regulation is an important layer of gene expression:Generation of genome-wide expression datasets at multi-omics levels in spatial,temporal,and cell-type resolution is essential for deciphering brain complexity.Regulation of gene expression is a highly dynamic process aiming at the production of precise levels of gene products to guarantee optimal cellular function,in response to physiological cues.Speedy advances in next-generation sequencing enabled the understanding of epigenomic and transcriptomic dynamic landscapes of different brain regions along development,aging,and disease progression.However,the correlation of the“transcriptome”with protein levels is poor because numerous mRNAs are subjected to manipulation of their translation efficiency,to warrant a favorable result under certain conditions.Hence,it is widely accepted that regulation at the translation level is a vital layer of gene expression.Quantification of actively translated mRNA populations(i.e.,“translatome”)is a more reliable predictor of the“proteome”(Wang et al.,2020).

Toward efficient multiple-site incorporation of unnatural amino acids using cell-free translation system

Amber suppression has been widely used to incorporate unnatural amino acids(UNAAs)with unique structures or functional side-chain groups into specific sites of the target protein,which expands the scope of protein-coding chemistry.However,this traditional strategy does not allow multiple-site incorporation of different UNAAs into a single protein,which limits the development of unnatural proteins.To address this challenge,the suppression method using multiple termination codons(TAG,TAA or TGA)was proposed,and cell-free unnatural protein synthesis(CFUPS)system was employed.By the analysis of incorporating 3 different UNAAs(p-propargyloxy-L-phenylalanine,p-azyl-phenylalanine and L-4-Iodophenylalanine)and mass spectrometry,the simultaneous usage of the codons TAG and TAA were suggested for better multiple-site UNAA incorporation.The CFUPS conditions were further optimized for better UNAA incorporation efficiency,including the orthogonal translation system(OTS)components,magnesium ions,and the redox environment.This study established a CFUPS approach based on multiple termination codon suppression to achieve efficient and precise incorporation of different types of UNAAs,thereby synthesizing unnatural proteins with novel physicochemical functions.

On educational system of legal translation course in colleges of China

With the broadening of economic and commercial communication between China and the outside world, the market of legal and contract document translation job is blooming harshly in both China and abroad. Accompanying this tendency, the professionalizing forensic development of translation is booming up as well. The request for higher education institutions to establish the education system of forensic translation is shining in human＇s eyes, and the cultivating system for the future, the world and profession is highly regarded. So comprehensive profession-cultivating, socialization and economy-serving should be the direction of the education of foreign languages department, related foreign forensic document translation and professional direction of public foreign language teaching as well are the aims of this reform of education. So the aim of this new education system should be the establishing the system of professional translation, forensic translation, cross-subject education and the cultivation of multi-professionals.

The Polysystem and the Translation of Children' s Literature

Polysystem Theory was developed in 1970s by Israeli scholar Itamar Even-Zohar,and was well known for its three circumstances.Children' literature,as a special branch of literature,attracts more and more research nowadays.This paper explores the process of translation of Children' s Literature in China under polysystem.

NICT/ATR Chinese-Japanese-English Speech-to-Speech Translation System

This paper describes the latest version of the Chinese-Japanese-English handheld speech-tospeech translation system developed by NICT/ATR, which is now ready to be deployed for travelers. With the entire speech-to-speech translation function being implemented into one terminal, it realizes real-time, location-free speech-to-speech translation. A new noise-suppression technique notably improves the speech recognition performance. Corpus-based approaches of speech recognition, machine translation, and speech synthesis enable coverage of a wide variety of topics and portability to other languages. Test results show that the character accuracy of speech recognition is 82%-94% for Chinese speech, with a bilingual evaluation understudy score of machine translation is 0.55-0.74 for Chinese-Japanese and Chinese-English

A human translational model based on neuroplasticity for pharmacological agents potentially effective in Treatment-Resistant Depression: focus on dopaminergic system

Major depressive disorder(MDD)is a common psychiatric condition characterized by two main symptoms,low mood and anhedonia.About 15–30%of people suffering from MDD do not respond to standard-of-care antidepressants,e.g.,the serotonin re-uptake inhibitors(SSRI),and are considered affected by Treatment-Resistant Depression(TRD).The neurobiology of this condition is presently unknown.Recent attempts of developing novel treatments for TRD have been driven by four major breakthroughs:(1)Increasing dopaminergic neurotransmission improves TRD symptoms;(2)Anhedonia occurs when central dopaminergic neurotransmission is low;(3)Enhanced neuroplasticity is critical for the action of antidepressants;(4)Ketamine shows antidepressant properties in TRD patients and triggers neuroplasticity in preclinical animal models.These breakthroughs are at the basis of a putative human translational cellular model for antidepressant agents that we are proposing in this article.The rationale is briefly described here.

Integrative multi-omics and systems bioinformatics in translational neuroscience:A data mining perspective

Bioinformatic analysis of large and complex omics datasets has become increasingly useful in modern day biology by providing a great depth of information,with its application to neuroscience termed neuroinformatics.Data mining of omics datasets has enabled the generation of new hypotheses based on differentially regulated biological molecules associated with disease mechanisms,which can be tested experimentally for improved diagnostic and therapeutic targeting of neurodegenerative diseases.Importantly,integrating multi-omics data using a systems bioinformatics approach will advance the understanding of the layered and interactive network of biological regulation that exchanges systemic knowledge to facilitate the development of a comprehensive human brain profile.In this review,we first summarize data mining studies utilizing datasets from the individual type of omics analysis,including epigenetics/epigenomics,transcriptomics,proteomics,metabolomics,lipidomics,and spatial omics,pertaining to Alzheimer's disease,Parkinson's disease,and multiple sclerosis.We then discuss multi-omics integration approaches,including independent biological integration and unsupervised integration methods,for more intuitive and informative interpretation of the biological data obtained across different omics layers.We further assess studies that integrate multi-omics in data mining which provide convoluted biological insights and offer proof-of-concept proposition towards systems bioinformatics in the reconstruction of brain networks.Finally,we recommend a combination of high dimensional bioinformatics analysis with experimental validation to achieve translational neuroscience applications including biomarker discovery,therapeutic development,and elucidation of disease mechanisms.We conclude by providing future perspectives and opportunities in applying integrative multi-omics and systems bioinformatics to achieve precision phenotyping of neurodegenerative diseases and towards personalized medicine.

Motor tract reorganization after acute central nervous system injury: a translational perspective

Acute central nervous system injuries are among the most common causes of disability worldwide,with widespread social and economic implications.Motor tract injury accounts for the majority of this disability;therefore,there is impetus to understand mechanisms underlying the pathophysiology of injury and subsequent reorganization of the motor tract that may lead to recovery.After acute central nervous system injury,there are changes in the microenvironment and structure of the motor tract.For example,ischemic stroke involves decreased local blood flow and tissue death from lack of oxygen and nutrients.Traumatic injury,in contrast,causes stretching and shearing injury to microstructures,including myelinated axons and their surrounding vessels.Both involve blood-brain barrier dysfunction,which is an important initial event.After acute central nervous system injury,motor tract reorganization occurs in the form of cortical remapping in the gray matter and axonal regeneration and rewiring in the white matter.Cortical remapping involves one cortical region taking on the role of another.cAMP-response-element binding protein is a key transcription factor that can enhance plasticity in the peri-infarct cortex.Axonal regeneration and rewiring depend on complex cell-cell interactions between axons,oligodendrocytes,and other cells.The RhoA/Rho-associated coiled-coil containing kinase signaling pathway plays a central role in axon growth/regeneration through interactions with myelin-derived axonal growth inhibitors and regulation of actin cytoskeletal dynamics.Oligodendrocytes and their precursors play a role in myelination,and neurons are involved through their voltage-gated calcium channels.Understanding the pathophysiology of injury and the biology of motor tract reorganization may allow the development of therapies to enhance recovery after acute central nervous system injury.These include targeted rehabilitation,novel pharmacotherapies,such as growth factors and axonal growth inhibitor blockade,and the implementation of neurotechnologies,such as central nervous system stimulators and robotics.The translation of these advances depends on careful alignment of preclinical studies and human clinical trials.As experimental data mount,the future is one of optimism.

Bubble translation driven by pulsation in a double-bubble system

The pulsation and translation of two cavitation bubbles are studied numerically in sound field. The results show that bubbles' pulsation driven by the sound makes them translate. Different pulsations lead to different translations. Two bubbles will be mutually attractive to each other if they pulsate in phase, while they will be repulsive if out of phase. Furthermore,the secondary Bjerknes force for small phase difference is attractive, and it becomes repulsive for other phase differences up to π phase difference due to the nonlinear effect, although the attractive strength between two bubbles is much larger than the repulsive strength. Finally, one bubble pulsation and the other bubble stationary make the bubbles repel each other.

On Translation of Chinese Addressing System

In contrast with English,Chinese addressing system is characterized by the great number coupled with cultural connotations,thus adding to the difficulty in Chinese-English translation.In this paper,the author endeavors to locate the source of differences between Chinese & English addressing terms and seek the cultural connotations and pragmatic equivalence of Chinese addressing terms in translation.

RNPS1 stabilizes NAT10 protein to facilitate translation in cancer via tRNA ac^(4)C modification

Existing studies have underscored the pivotal role of N-acetyltransferase 10(NAT10) in various cancers. However, the outcomes of protein-protein interactions between NAT10 and its protein partners in head and neck squamous cell carcinoma(HNSCC) remain unexplored. In this study, we identified a significant upregulation of RNA-binding protein with serine-rich domain 1(RNPS1) in HNSCC, where RNPS1 inhibits the ubiquitination degradation of NAT10 by E3 ubiquitin ligase, zinc finger SWIM domain-containing protein 6(ZSWIM6), through direct protein interaction, thereby promoting high NAT10 expression in HNSCC. This upregulated NAT10 stability mediates the enhancement of specific tRNA ac^(4)C modifications, subsequently boosting the translation process of genes involved in pathways such as IL-6 signaling, IL-8 signaling, and PTEN signaling that play roles in regulating HNSCC malignant progression, ultimately influencing the survival and prognosis of HNSCC patients. Additionally, we pioneered the development of TRMC-seq, leading to the discovery of novel t RNA-ac^(4)C modification sites, thereby providing a potent sequencing tool for tRNAac^(4)C research. Our findings expand the repertoire of tRNA ac^(4)C modifications and identify a role of tRNA ac^(4)C in the regulation of mRNA translation in HNSCC.

Translational regulation of DNA repair systems by eIF3a in cancer chemotherapeutic response

OBJECTIVE To investigate the role of e IF3a in the regulation of DNA repair pathways in cancer chemotherapeutic response.METHODS Immunohistochemistry was used to determine the expression of e IF3a in lung and breast cancer tissues followed by association analysis of e IF3a expression with patient′s response to chemotherapy.Ectopic overexpression and RNA interference knockdown of e IF3a were carried out in NIH3T3and H1299 cell lines,respectively,to determine the effect of altered e IF3a expression on cellular response to chemotherapeutic drugs by using MTT assay.The DNA repair capacity of these cells was evaluated by using host-cell reactivation,NHEJ and HR assay.Real-time reverse transcriptase PCR and Western Blot analyses were carried out to determine the effect of e IF3a on the DNA repair genes by using cells with altered e IF3a expression.RESULTS e IF3a expression associates with response of lung and breast cancer patients to platinum and anthracycline.e IF3a knockdown or overexpression,respectively,increased and decreased the cellular resistance to cisplatin and anthracycline anticancer drugs,DNA repair activity,and expression of NER and NHEJ DNA repair proteins.CONCLUSION e IF3a plays an important role in regulating the expression of NER and NHEJ DNA repair proteins which,in turn,contributes to cellular response to DNA-damaging anticancer drugs and patients′response to platinum and anthracycline chemotherapy.

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.

Research on system combination of machine translation based on Transformer

Influenced by its training corpus,the performance of different machine translation systems varies greatly.Aiming at achieving higher quality translations,system combination methods combine the translation results of multiple systems through statistical combination or neural network combination.This paper proposes a new multi-system translation combination method based on the Transformer architecture,which uses a multi-encoder to encode source sentences and the translation results of each system in order to realize encoder combination and decoder combination.The experimental verification on the Chinese-English translation task shows that this method has 1.2-2.35 more bilingual evaluation understudy(BLEU)points compared with the best single system results,0.71-3.12 more BLEU points compared with the statistical combination method,and 0.14-0.62 more BLEU points compared with the state-of-the-art neural network combination method.The experimental results demonstrate the effectiveness of the proposed system combination method based on Transformer.

Translation invariant tensor product states in a finite lattice system

We show that the matrix （or more generally tensor） product states in a finite translation invariant system can be accurately constructed from a same set of local matrices （or tensors） that are determined from an infinite lattice system in one or higher dimensions. This provides an efficient approach for studying translation invariant tensor product states in finite lattice systems. Two methods are introduced to determine the size-independent local tensors.

Network address translation traversal based on Bernoulli laws of large number in P2P streaming system

P2P streaming application must realize network address translation （NAT） traversal. To handle low success ratio of the existing NAT traversal algorithm, UPnP-STUN （UPUN） and port-mapping sample estimation （PMSE） algorithm are recommended in this paper. UPUN is the combination of UPnP and STUN, and PMSE utilizes port mapping samples added by symmetric NAT for different sessions to estimate regularity of port mapping of symmetric NAT, which takes advantage of the Bernoulli law of large numbers. Besides, for the situation that both peers are behind NAT, and to handle heavy relay server load when many inner peers want to communicate with each other, a peer auxiliary-relay （PAR） algorithm is presented. PAR lets outer peers with sufficient bandwidth act as relay servers to alleviate pressure of real server, which could avoid NAT traversal failure caused by single point failure of relay server. Finally, experiments show that the proposed algorithms could improve the success ratio significantly for NAT traversal in P2P streaming application as well as improve P2P streaming application applicability.

Construction of Quality Evaluation System for Translation Majors in Application-Oriented Colleges and Universities

Under the background of“One Belt and One Road Initiative”,China’s internationalization improves greatly,which promotes all-round communication and cooperation between China and foreign countries;the demand for application-oriented translation talents is bound to increase substantially.Therefore,it is of great significance to establish a scientific and reasonable quality evaluation system to train translation professionals.This paper aims to discuss how to construct a quality evaluation system for translation majors in application-oriented colleges and universities for the purpose of promoting the translation talents cultivation.