Translation Ambiguity Research Articles

Construction of English corpus oral instant translation model based on information security and deep learning

In order to improve the quality of translation, avoid translation ambiguity and accurately present the content of the source language, supported by the concept of deep learning and guaranteed by information security, an instant oral translation model is constructed for English corpus. The aim of this study is to enhance the efficiency and accuracy of oral translation systems through the application of deep learning algorithms. Specifically, we employ a sample training mechanism tailored to the unique characteristics of oral translation, allowing for separate training of system interaction and translation data. Furthermore, by redesigning the interaction hardware, this research comprehensively redefines the hardware structure of the translation system, marking a significant step towards improving the usability and performance of such systems. After obtaining and processing effective security sensitive information, language resources are managed by using database management system, which fundamentally improves the level of network information security. The performance of the existing oral automatic translation system (Test Group 1) and the system designed in this paper (Test Group 2) is tested by experiments, and the results are as follows: (1) The translation system designed here has better interactive performance, and it is better than Test Group 1. (2) The adaptive index value of Test Group 1 is 1, and that of Test Group 2 is 0.5, which proves that the adaptive ability of system algorithm of Test Group 2 is better than that of Test Group 1. (3) When comparing the translation speed, the translation time of Test Group 2 is only 70.7 s, while that of Test Group 1 is 130.6 s, so the proposed translation system is obviously superior to that of Test Group 1.

Exploration on Advanced Intelligent Algorithms of Artificial Intelligence for Verb Recognition in Machine Translation

This article aimed to address the problems of word order confusion, context dependency, and ambiguity in traditional machine translation (MT) methods for verb recognition. By applying advanced intelligent algorithms of artificial intelligence, verb recognition can be better processed and the quality and accuracy of MT can be improved. Based on Neural machine translation (NMT), basic attention mechanisms, historical attention information, dynamically obtain information related to the generated words, and constraint mechanisms were introduced to embed semantic information, represent polysemy, and annotate semantic roles of verbs. This article used the Workshop on MT (WMT), British National Corpus (BNC), Gutenberg, Reuters Corpus, and OpenSubtitles corpus, and enhanced the data in the corpora. The improved NMT model was compared with traditional NMT models, Rule-Based MT (RBMT), and Statistical MT (SMT). The experimental results showed that the average verb semantic matching degree of the improved NMT model in five corpora was 0.85, and the average Bilingual Evaluation Understudy (BLEU) score in five corpora was 0.90. The improved NMT model in this article can effectively improve the accuracy of verb recognition in MT, providing new methods for verb recognition in MT.

A Proteogenomic Pipeline for the Analysis of Protein Biosynthesis Errors in the Human Pathogen Candida albicans

Candida albicans is a diploid pathogen known for its ability to live as a commensal fungus in healthy individuals but causing both superficial infections and disseminated candidiasis in immunocompromised patients where it is associated with high morbidity and mortality. Its success in colonizing the human host is attributed to a wide range of virulence traits that modulate interactions between the host and the pathogen, such as optimal growth rate at 37°C, the ability to switch between yeast and hyphal forms, and a remarkable genomic and phenotypic plasticity. A fascinating aspect of its biology is a prominent heterogeneous proteome that arises from frequent genomic rearrangements, high allelic variation, and high levels of amino acid misincorporations in proteins. This leads to increased morphological and physiological phenotypic diversity of high adaptive potential, but the scope of such protein mistranslation is poorly understood due to technical difficulties in detecting and quantifying amino acid misincorporation events in complex protein samples. We have developed and optimized mass spectrometry and bioinformatics pipelines capable of identifying rare amino acid misincorporation events at the proteome level. We have also analyzed the proteomic profile of an engineered C.albicans strain that exhibits high level of leucine misincorporation at protein CUG sites and employed an invivo quantitative gain-of-function fluorescence reporter system to validate our LC-MS/MS data. C.albicans misincorporates amino acids above the background level at protein sites of diverse codons, particularly at CUG, confirming our previous data on the quantification of leucine incorporation at single CUG sites of recombinant reporter proteins, but increasing misincorporation of Leucine at these sites does not alter the translational fidelity of the other codons. These findings indicate that the C.albicans statistical proteome exceeds prior estimates, suggesting that its highly plastic phenome may also be modulated by environmental factors due to translational ambiguity.

SketchDream: Sketch-based Text-To-3D Generation and Editing

Existing text-based 3D generation methods generate attractive results but lack detailed geometry control. Sketches, known for their conciseness and expressiveness, have contributed to intuitive 3D modeling but are confined to producing texture-less mesh models within predefined categories. Integrating sketch and text simultaneously for 3D generation promises enhanced control over geometry and appearance but faces challenges from 2D-to-3D translation ambiguity and multi-modal condition integration. Moreover, further editing of 3D models in arbitrary views will give users more freedom to customize their models. However, it is difficult to achieve high generation quality, preserve unedited regions, and manage proper interactions between shape components. To solve the above issues, we propose a text-driven 3D content generation and editing method, SketchDream, which supports NeRF generation from given hand-drawn sketches and achieves free-view sketch-based local editing. To tackle the 2D-to-3D ambiguity challenge, we introduce a sketch-based multi-view image generation diffusion model, which leverages depth guidance to establish spatial correspondence. A 3D ControlNet with a 3D attention module is utilized to control multi-view images and ensure their 3D consistency. To support local editing, we further propose a coarse-to-fine editing approach: the coarse phase analyzes component interactions and provides 3D masks to label edited regions, while the fine stage generates realistic results with refined details by local enhancement. Extensive experiments validate that our method generates higher-quality results compared with a combination of 2D ControlNet and image-to-3D generation techniques and achieves detailed control compared with existing diffusion-based 3D editing approaches.

Multimodal Machine Translation Approaches for Indian Languages: A Comprehensive Survey

Multimodal machine translation (MMT) is a challenging task in the linguistically diverse Indian landscape. Machine translation refers to the task of automatically converting content from one language to another without human involvement. Within the realm of natural language processing, a significant challenge arises from the inherent ambiguity present in human language. Translation ambiguity is a cross-lingual phenomenon that can manifest itself for various reasons, including lexical ambiguity, the occasional need to impute missing words, the presence of gen-der ambiguity, and word-sense ambiguities. These factors can lead to a decrease in translation accuracy. The integration of multiple modalities, such as images, videos, and audio, in addition to text, plays a pivotal role in improving the robustness and precision of translation systems. Over the past five years, extensive research has been dedicated to incorporating secondary modalities alongside text to improve language translation and comprehension. In this comprehensive study, our objective was to identify and explore promising MMT approaches, available corpora, eval-uation metrics, research challenges, and the future direction of research specifically for Indian languages. We evaluated 81 papers, including MMT models, MMT dataset in Indian languages, survey on MMT approach, and the effects of multiple modalities in machine translation. The performance of the different proposed approaches has also been briefly analyzed on the basis of the claimed results and comparative evaluations. Finally, the challenges associated with the MMT task for India and some possible directions for future research in this domain are highlighted.

Learning capabilities to resolve tilt-translation ambiguity in goldfish.

Spatial orientation refers to the perception of relative location and self-motion in space. The accurate formation of spatial orientation is essential for animals to survive and interact safely with their environment. The formation of spatial orientation involves the integration of sensory inputs from the vestibular, visual, and proprioceptive systems. Vestibular organs function as specialized head motion sensors, providing information regarding angular velocity and linear acceleration via the semicircular canals and otoliths, respectively. However, because forces arising from the linear acceleration (translation) and inclination relative to the gravitational axis (tilt) are equivalent, they are indistinguishable by accelerometers, including otoliths. This is commonly referred to as the tilt - translation ambiguity, which can occasionally lead to the misinterpretation of translation as a tilt. The major theoretical frameworks addressing this issue have proposed that the interpretation of tilt versus translation may be contingent on an animal's previous experiences of motion. However, empirical confirmation of this hypothesis is lacking. In this study, we conducted a behavioral experiment using goldfish to investigate how an animal's motion experience influences its interpretation of tilt vs. translation. We examined a reflexive eye movement called the vestibulo-ocular reflex (VOR), which compensatory-rotates the eyes in response to head motion and is known to reflect an animal's three-dimensional head motion estimate. We demonstrated that the VORs of naïve goldfish do not differentiate between translation and tilt at 0.5 Hz. However, following prolonged visual-translation training, which provided appropriate visual stimulation in conjunction with translational head motion, the VORs were capable of distinguishing between the two types of head motion within 3 h. These results were replicated using the Kalman filter model of spatial orientation, which incorporated the variable variance of process noise corresponding to the accumulated motion experience. Based on these experimental and computational findings, we discuss the neural mechanism underlying the resolution of tilt-translation ambiguity within a context analogous to, yet distinct from, previous cross-axis VOR adaptations.

On Ambiguity in the Arabic Language: Scrutinizing Translation Issues through Machine Translation from English and French into Arabic

Ambiguity in some syntactic structures of the same language has always posed problems to the human translator and to machine translation. These problems become more complex for the Machine Translation of genetically unrelated languages such as Arabic, English and French. Arabic Lexical ambiguity in Natural Language Processing (NLP) also poses problems when the semantic fields of Arabic words differ from those of English for instance. This often occurs when two or more words from Arabic equate to a single word in English. Semantic gaps between the two languages are also a source of ambiguity in Natural Language Processing. We shall deal with some cases of ambiguity in machine translation from Arabic to English and French and vice versa. The questions addressed in this paper relate to segmentation, determination / non-determination, coordination and the issue of the word as a meaningful and functional unit. Some aspects of the segmentation of constituents into grammatical categories and their comparison with structures of Arabic English and French are addressed in this paper.

Automatic Fingerprint Data Labeling Using WiFi Signal and Smartphone Camera for Indoor Positioning

WiFi fingerprinting has been one of the most practical approaches for implementing an indoor positioning system. However, the need to measure location labels for fingerprint data has hindered the deployment of WiFi fingerprint‐based positioning systems. To reduce the cost of location labeling, several methods for automatically labeling locations or bypassing location labeling have been proposed. However, these methods still need to measure location labels for partial fingerprint data, or the estimated location labels are inaccurate. In this paper, we propose Heimdall, an automatic fingerprint data labeling method using a smartphone camera and WiFi signal for an indoor positioning system. Since Heimdall utilizes camera geometry for accurate automatic labeling, it aims to find the location labels of unlabeled fingerprint data composed of WiFi received signal strengths (RSSs) and photos collected using smartphones in multiple reference points (RPs). Using structure from motion (SfM) with all photos in the unlabeled fingerprint dataset, the location and orientation of the cameras can be recovered on an arbitrary world coordinate system. However, the world coordinate system derived by SfM is warped. In other words, it is different from the real‐world coordinate system where we express the location labels since SfM has similarity ambiguity, including scale, rotation, and translation ambiguity. Heimdall finds the location labels by estimating and applying an unwarping transformation that removes those ambiguities. We use two types of geometric constraints for estimating the unwarping transformation. First, several geometric entities in the warped‐world coordinates and real‐world coordinates are extracted from the photos and prior information about the indoor layout. The unwarping transformation transforms the geometric entities in warped coordinates to those in real‐world coordinates. Second, we utilize the log‐distance pathloss model with RSSs to derive the constraint about distances from the location label to the access points. We construct the optimization problem subject to those constraints to estimate the unwarping transformation. To evaluate the performance of Heimdall, we performed several experiments. Heimdall yields a mean location labeling error of 0.12 m and a standard deviation of location labeling error of 0.06 m for the best case in the experiment. These results demonstrate that a fingerprint‐based indoor positioning system can use the location labels estimated by Heimdall without performance degradation.

How Machine Translation Helps Foreign Language Students?

Objective: The objective of this study is to examine to what extent machine translation (MT) helps Chinese students who study Spanish language. Methods: Our study employed the following methods, Chinese students participated in an experiment consisting of two main tasks. The first was a short translation test measuring whether students can translate with better accuracy, fluency and complexity if they use MT. In the second task, those students had to translate without MT. In this article, we focus primarily on the translation task. Results: All participants obtained higher scores in accuracy, fluency and complexity when using MT. Conclusion: This online tool helped students complete their translation task with better spelling, terminology, mistranslation, overly literal, style guide, ambiguous translation, part of speech, addition and typography. Unfortunately, MT did not help them to avoid unit conversion errors, word order errors, functions words errors, omission errors and punctuation errors. Identifying these types of errors can help students better recognize their mistakes while learning Spanish as a second language.

All Colours Of Translation Matthew Reynolds (ed.), 2019. Prismatic Translation, Cambridge: Legenda

This article discusses the volume of essays Prismatic Translation, edited by Matthew Reynolds (Cambridge: Legenda, 2019) in light of the history of optical metaphors for translation and recent modernist studies. Tracing the conceptual genealogy of the term and the subtleties of its theoretical usage, the author argues that “prismatic translation” remains an impressive though still excessively ambiguous translation studies metaphor that has not yet solidified into a precise and operative theoretical tool. Notwithstanding these objections, Prismatic Translation can be considered an excellent reference volume for professionals and students engaged in literary and cultural translation studies, as well as comparative modernist studies.

THE NOTIONS OF XIE-SHI («WRITING REALITY»), XIE-YI («WRITING IDEA») AND THEIR RELATIONSHIP TO REALISM

This article discusses terminological problems in the context of contemporary art practice and theory in China. Contemporary Chinese sculpture criticism has evolved in the context of certain influence of Western theories of art. Against the background of the integration of Western theories and terminology system of sculpture in the present stage, the Chinese sculpture community has perceived and internalized terms such as realism, depiction, figurative, abstract, and so on. This has greatly enriched the theory and practice of Chinese sculpture. At the same time, there are sculptural terms rooted in the Chinese national art practice, such as “xie-shi” and “xie-yi”. Unfortunately, limited by the cultural and linguistic contexts of China and the West, and by the fact that most Chinese sculptors still preserve the creative habit of relying on traditional experience and personal judgment, these terms lead to vagueness and speculation in defining the type of sculptural artwork. This situation can very easily lead to ambiguity and misinterpretation in interlingual translation, which becomes an obstacle to the understanding of Chinese sculptural art in other countries and limits the development of Chinese sculptural criticism. This is an important academic problem that requires long-term research. The author would like to express his gratitude to Prof. Maria Burganova for drawing his attention to this problem. According to the results of the author's search in the Chinese full-text database of periodicals, master's theses and doctoral dissertations CNKI, there are still no papers on Chinese art history specifically dealing with this relevant topic, which remains to be explored.

MarQO: A query optimizer in multilingual environment for information retrieval in Marathi language

Information retrieval is a crucial component of modern information systems. A significant portion of the vast amount of information stored worldwide is in local languages. While most information retrieval systems are designed primarily for English, there is a growing need for these systems to work with data in languages other than English. Cross Language Information Retrieval (CLIR) systems play a pivotal role in enabling information retrieval across multiple languages. However, these systems often face challenges due to ambiguities in query translation, impacting retrieval accuracy. This paper introduces "MarQO," a query optimizer designed to address these challenges in the context of Marathi language. MarQO employs a multi-stage approach, including lexical processing, extraction of multi-word terms, synonym addition, phrasal translations, utilization of word co-occurrence statistics, and more. By disambiguating query keyword translations, MarQO significantly improves the accuracy of translations, thereby leading to more relevant document retrieval results.

Ambiguity in Literary Translation: A Semantic Approach of “Ibn Arabi's Small Death” by Mohamed Hasan Alwan

Ambiguity in Literary Translation: A Semantic Approach of “Ibn Arabi's Small Death” by Mohamed Hasan Alwan

A window into the academic term control mechanism: a thorough presentation of processed terms in the process of completing an environmental science dictionary

AbstractThe evaluation and improvement of scientific terminology translation plays a crucial role in consistently and accurately communicating knowledge at an academic level as well as in applying this theoretical knowledge in practice. This becomes even more important in countries such as Greece where the majority of scientific innovations originate from other, predominately English-speaking, countries. Consequently, the dissemination of this knowledge must go through a translation process. Within this context, the author is conducting postdoctoral research in the academic field of Environmental Engineering and Hydraulics in the School of Engineering of the AUTh, Department of Civil Engineering. The research focuses on evaluating English to Greek handbooks in the academic field of Environmental Engineering and Hydraulics by using a translation control mechanism based on seven variables firstly derived from the studies of Belgian translatologist Dirk Delabastita. The outcomes so far highlighted the quality of academic and translation work, but also identified a number of translation ambiguities, different semantic variations of terms within the source text in relation to their context, the complete absence of certain terms in the translated text, and the use of an incorrect term’s translation. The evaluation of all these cases constitutes a comprehensive decision-making process that can be applied by any translator of technical texts. This process involves first evaluating the translated texts in their mother tongue and then suggesting enhanced term translations, ultimately contributing to the establishment of a more cohesive scientific consensus in Environmental Engineering terminology to implement the optimal utilization of scientific environmental methods by the Greek academic community to protect the environment, particularly in the highly sensitive Eastern Mediterranean region. Moreover, this process represents an initial step toward creating a state-of-the-art tool in teaching technical translation and lexicography to Environmental Engineering students as well as introducing foreign terminology to students in the faculty of engineering and the schools of English language and literature in the department of translation and intercultural studies, with specialization in technical translation.

Systematic Review of Translation and Cultural Adaptations of Autism Spectrum Disorder’s Screening Tool: The Modified Checklist for Autism in Toddlers, Revised (M-CHAT-R)

In recent years, the Modified Checklist for Autism in Toddlers, Revised (M-CHAT-R), a screening tool for autism spectrum disorder (ASD), has been translated into various languages and made accessible for the assessment of children globally. This study aims to systematically review and identify the available translations of the M-CHAT-R that have been adapted for use in different cultures, to evaluate the translation and cultural adaptation process, to report on the methodologies and psychometric properties of the adaptations of the M-CHAT-R and to critically discuss the implications for clinical practice and future research. An electronic search was performed through four main databases, EBSCOhost, Google Scholar, PubMed and Elsevier, to identify eligible articles. The PRISMA guidelines were employed as the primary search strategy and reporting system, while the COSMIN checklist was used to evaluate the selected studies' psychometric properties and cultural validity. Thirteen studies were included in this systematic review. The evaluation of screening accuracy properties for all studies showed that the M-CHAT-R translations achieved reasonable to good screening accuracy and further highlighted that sensitivity and specificity values, which are not dependent on the prevalence rate, are more appropriate measures than other psychometric properties to reflect the validity of the M-CHAT-R. The review of methodologies and results showed that the M-CHAT-R might be equally effective as the original tool in screening children aged up to 48 months, but future research is required to obtain more normative data. The large discrepancies among sample sizes and differences in population settings with ambiguous translations and adaptations highlighted the need for a more in-depth adaptation process for future cross-cultural validation studies.

Philosophical Interpretation of Lexical and Sentential Ambiguity in English-Arabic Translation

Translation debates have continued to be passionately argued. The study of the connection between philosophy and translation on the one hand and ambiguity in translation on the other hand have both been growing. The connection between philosophy and translation is unavoidable and inevitable. Notwithstanding, philosophers have not tackled the question of translation directly; translation in general has been tackled indirectly by some philosophers. Ambiguity in translation is a fertile field to investigate. Translation of some written sentences is problematic since they are translated from different contexts in culture. This paper aims to (1) study the connection between philosophy and translation on the one hand, and then (2) connect the philosophical interpretation of ambiguous sentences and their effect on the translation from English into Arabic. This paper also aims at (3) discussing the question that is hissing in the translator’s mind in order to translate an ambiguous sentence: whether to lean on syntactic or semantic dis-ambiguation. As a result, this paper hypothesizes that lexemes meaning, interpretation, and thus translation is not only sentence bound but clear cotext and context bound. Therefore, to test this hypothesis, in my research, the study selects some sentences from some research and dictionaries which are believed to be ambiguous. The examples I have selected may not cover all ambiguous English sentences, for ambiguous sentences are still turning up, however, I have tried to cover frequently used sentences. I will look at some common difficulties in the interpretation of lexical items. Then, the ambiguity of these sentences will be removed by using these sentences with the same ambiguous lexemes in clear cotext and context. After removing the ambiguity, the sentences will be translated into Arabic to show the impact of both cotext and context on translation.

Ambiguity in Literary Translation: A Semantic Approach of “Ibn Arabi's Small Death” by Mohamed Hasan Alwan

Ambiguity in Literary Translation: A Semantic Approach of “Ibn Arabi's Small Death” by Mohamed Hasan Alwan

SPN2D-GAN: Semantic Prior Based Night-to-Day Image-to-Image Translation

Existing image-to-image translation approaches can deal with simple scenes or styles effectively, such as summer-to-winter, horses-to-zebra, and photo-to-map. Although a great progress has been made by GAN-based methods recently, the performance of night-to-day (N2D) translation remains unsatisfactory due to imbalanced/poor visibility, and thus leading to translation ambiguity. To improve the quality of N2D translation, we propose an unpaired translation scheme based on a semantic prior generator, namely SPN2D-GAN, in a weakly-supervised manner with consideration of both image and semantic information. Specifically, we design a novel N2D generator, which can adopt the semantic information of images as prior knowledge to generate more reasonable and realistic results. Also, we suggest adjusting the brightness of nighttime images to boost the visibility, so that the generator can better extract content information. Moreover, the proposed SPN2D-GAN translates images by enforcing the distribution of daytime images in both image and semantic domains on final outputs. Besides, the cycle consistency is employed to preserve the fidelity between translations from two directions. Extensive experimental results are provided to reveal the effectiveness of our design, and demonstrate its superior performance over other state-of-the-art N2D translation approaches both quantitatively and qualitatively. Our code is available at <uri xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">https://github.com/brightknight177/SPN2DGAN</uri> .

Initiation at AUGUG and GUGUG sequences can lead to translation of overlapping reading frames in E. coli.

During initiation, the ribosome is tasked to efficiently recognize open reading frames (ORFs) for accurate and fast translation of mRNAs. A critical step is start codon recognition, which is modulated by initiation factors, mRNA structure, a Shine Dalgarno (SD) sequence and the start codon itself. Within the Escherichia coli genome, we identified more than 50 annotated initiation sites harboring AUGUG or GUGUG sequence motifs that provide two canonical start codons, AUG and GUG, in immediate proximity. As these sites may challenge start codon recognition, we studied if and how the ribosome is accurately guided to the designated ORF, with a special focus on the SD sequence as well as adenine at the fourth coding sequence position (A4). By in vitro and in vivo experiments, we characterized key requirements for unambiguous start codon recognition, but also discovered initiation sites that lead to the translation of both overlapping reading frames. Our findings corroborate the existence of an ambiguous translation initiation mechanism, implicating a multitude of so far unrecognized ORFs and translation products in bacteria.

Translation norms for Malay and English words: The effects of word class, semantic variability, lexical characteristics, and language proficiency on translation.

Translation equivalents are widely used in bilingual research concerning word processing (e.g., Eddington & Tokowicz, 2013; Jouravlev & Jared, 2020) and second-language vocabulary learning (e.g., Bracken et al., 2017; Degani et al., 2014). Although translation norms exist in several languages, to date there are no Malay-English translation norms. This study presents the first Malay-English translation norms collected with highly proficient Malay-English bilinguals. Furthermore, the study investigates the impact of lexical characteristics on translation ambiguity. The forward translation (FT) task (N = 30) collected English translations for 1004 Malay words selected from the Malay Lexicon Project (Yap et al., 2010), and subsequently the backward translation (BT) task (N = 30) gathered Malay translations for 845 English words obtained from the FT phase. The data revealed a high prevalence of translation ambiguity in both translation directions. Specifically, verbs, adjectives, and class-ambiguous words were more translation-ambiguous than nouns. Furthermore, within-language semantic variability and word length were positively correlated with translation ambiguity, whereas word frequency only correlated with translation ambiguity in FT. Word length and word frequency of the source words and their translations were positively correlated. Intriguingly, only in FT were bilinguals with higher Malay proficiency more likely to provide accurate and dominant translations for the Malay words. These findings contrast with those reported in translation norming studies involving other language pairs. The translation norms provide a useful resource for bilingual language studies involving Malay-English bilinguals.