Global ETD Search
Search theses and dissertations gathered from participating repositories worldwide. Every result links back to the library that holds it. No account is needed.
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Showing 1 to 20 of 20 for “"Translation model"”.
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CMT-based translator competence training and suggested curriculum in China
Current translation training research in China has paid relatively little attention to trainees as potential professional translators who need to apply the range of current translation theories and concepts to practical translation assignments. This thesis focuses on the application and …
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Improving Low-Resource Translation with Finite State Grammars
… a problem for the development of neural machine translation systems for low-resource languages. This study develops a method for the incorporation of linguistic information into the training of neural machine translation models for low-resource languages, using morphological grammars created …
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Multimodal machine translation
… has been a lot of progress being made in machine translation through deep learning networks. But there is relatively lesser progress made in using images to catalyze the translation tasks. In this study, we explore various models to incorporate the image features in the machine translation models. …
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Learning Morphology for Open-Vocabulary Neural Machine Translation
State-of-the-art neural machine translation systems typically have low accuracy in translating rare or unseen words due to the requirement of using a fixed-size word vocabulary during training. In addition to controlling the model complexity, this limitation is also related to the difficulty of …
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Word alignment and smoothing methods in statistical machine translation: Noise, prior knowledge and overfitting
… paraphrases, lexical semantics (or non-literal translations), named-entities, coreferences, and transliterations. The first discussion is about word alignment where we propose a MWE-sensitive word aligner. The second discussion is about the smoothing methods for a language model and a translation …
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Scalable Model for Reaction Outcome Prediction and One-step Retrosynthesis with a Graph-to-Sequence Architecture
… have emerged. Natural language approaches that model each problem as a SMILESto-SMILES translation lead to a simple end-to-end formulation, reduce the need for data preprocessing, and enable the use of well-optimized machine translation model architectures. However, SMILES representations are …
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Methodism and public life in Zimbabwe : an analysis of the Wesleyan Methodist Church in Zimbabwe's impact on politics from 1891-1980
… archival and oral data as primary sources, the translation model of contextual theology, holistic framework for analysing history, the principle of the overriding right and the conflict transformation model as part of the methodology. Through the use of the translation model of contextual …
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Deep Syntax in Statistical Machine Translation
Statistical Machine Translation (SMT) via deep syntactic transfer employs a three-stage architecture, (i) parse source language (SL) input, (ii) transfer SL deep syntactic structure to the target language (TL), and (iii) generate a TL translation. The deep syntactic transfer architecture achieves a …
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Constructing Low Resource Approaches to Improve Speech-to-text Translation from Modern Standard Arabic to English
… approaches to the Arabic-English speech-to-text translation task. First, we construct a novel Modern Standard Arabic speech and English text parallel dataset. Second, we propose a novel framework for leveraging unsupervised machine translation to improve speech-to-text translation, and apply this …
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Lexical syntax for statistical machine translation
Statistical Machine Translation (SMT) is by far the most dominant paradigm of Machine Translation. This can be justified by many reasons, such as accuracy, scalability, computational efficiency and fast adaptation to new languages and domains. However, current approaches of Phrase-based SMT lacks …
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Generating Paraphrases with Greater Variation Using Syntactic Phrases
… problem can be formulated in the machine translation paradigm; instead of translation of English to a foreign language, the system translates an English sentence (for example) to another English sentence. Quirk et al. (2004) demonstrated this approach to generate almost 90% acceptable …
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A Formal Model of Ambiguity and its Applications in Machine Translation
… and resolve ambiguity. In this dissertation, a model of language processing is advocated in which multiple inputs and multiple analyses of inputs are considered concurrently and a single analysis is only a last resort. Compared to conventional models, this approach can be understood as replacing …
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The Rat as a Translational Model of Neurotrauma: Primary Somatosensory Input and Imaging Biomarker Validation Following Spinal Cord and Peripheral Nerve Injuries
… and difficult to study, necessitating the use of translational models that provide standardizable and quantifiable models of injury. Rats are the most commonly used models of spinal cord (SCI) and peripheral nerve (PNI) injuries because their anatomy and physiology approximates that of humans, …
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Film Dialogue Translation And The Intonation Unit : Towards Equivalent Effect In English And Chinese
… thesis proposes a new approach to film dialogue translation (FDT) with special reference to the translation process and quality of English-to-Chinese dubbing. In response to the persistent translation failures that led to widespread criticism of dubbed films and TV plays in China for their …
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Soft matching for question answering
… both soft matching schemes using statistical models and apply them to two components in a QA system. Such a QA system is designed to fulfill the information need of advanced users who search for information in a systematic way. Taking a search target as input, the QA system can produce a …
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Toward reliable localization: exploring infrared fiducial markers and multi-imu fusion as alternative sensor modalities
… detection accuracy, a Pix2Pix image-to-image translation model is used as a pre-processing step to remove thermal reflections from infrared imagery. This pre-processing improves input quality and supports a variety of marker designs. Separately, this work investigates the fusion of …
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Refinements in hierarchical phrase-based translation systems
… recently proposed hierarchical phrase-based translation model for statistical machine translation (SMT) has achieved state-of-the-art performance in numerous recent translation evaluations. Hierarchical phrase-based systems comprise a pipeline of modules with complex interactions. In this …
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Vision-Based automatic translation for South African Sign Language (SASL)
… the first vision-based Neural Sign Language Translation model for SASL as a first step towards bridging the communication gap. To this end, we recorded a sizeable parallel SASL and English corpus with the help of six sign language interpreters, three of which are native signers and constitute …
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Vision-Based automatic translation for South African Sign Language (SASL)
… the first vision-based Neural Sign Language Translation model for SASL as a first step towards bridging the communication gap. To this end, we recorded a sizeable parallel SASL and English corpus with the help of six sign language interpreters, three of which are native signers and constitute …
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UNCERTAINTY QUANTIFICATION IN DOWNSCALING OF PRECIPITATION EXTREMES AND ITS APPLICATION TO NEW ENGLAND
… uncertainty arising from parametric distribution modeling for precipitation extremes and uncertainty due to the particular predictive model employed for estimation of their return levels. Both sources were examined and quantified using credibility intervals of downscaled 25-year return levels of …