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 24 for “"Machine translating"”.
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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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-ing words in RBMT: multilingual evaluation and exploration of pre- and post-processing solutions
This PhD dissertation falls within the domain of machine translation and it specifically focuses on the machine translation of IT-domain -ing words into four target languages: French, German, Japanese and Spanish. Claimed to be problematic due to their linguistic flexibility, i.e. -ing words can …
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A novel dependency-based evaluation metric for machine translation
… (2002)) are indispensable in the development of Machine Translation (MT) systems, because they allow MT developers to conduct frequent, fast, and cost-effective evaluations of their evolving translation models. However, most of the automatic evaluation metrics rely on a comparison of word …
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Data-driven machine translation for sign languages
… thesis explores the application of data-driven machine translation (MT) to sign languages (SLs). The provision of an SL MT system can facilitate communication between Deaf and hearing people by translating information into the native and preferred language of the individual. We begin with an …
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TransBooster:black box optimisation of machine translation systems
Machine Translation (MT) systems tend to underperform when faced with long, linguistically complex sentences. Rule-based systems often trade a broad but shallow linguistic coverage for a deep, fine-grained analysis since hand-crafting rules based on detailed linguistic analyses is time-consuming, …
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Hybrid data-driven models of machine translation
Corpus-based approaches to Machine Translation (MT) dominate the MT research field today, with Example-Based MT (EBMT) and Statistical MT (SMT) representing two different frameworks within the data-driven paradigm. EBMT has always made use of both phrasal and lexical correspondences to produce …
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Grammatical feature data-oriented parsing
LFG-DOP is a powerful, hybrid model of language processing where the tree representations of Data-Oriented Parsing (DOP) are augmented with the functional representations of Lexical Functional Grammar (LFG). The result is a robust parsing model which generates linguistically informed output. …
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Using EMBT to produce foreign language subtitles
… inroads made in natural language processing and machine translation could go a long way to alleviating some of this pressure. In this thesis, we set out to establish how example-based machine translation (EBMT) can be used to speed up the subtitling process, thus improving the throughput of the …
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Recycling texts: human evaluation of example-based machine translation subtitles for DVD
This project focuses on translation reusability in audiovisual contexts. Specifically, the project seeks to establish (1) whether target language subtitles produced by an EBMT system are considered intelligible and acceptable by viewers of movies on DVD, and (2)whether a relationship exists between …
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The integration of machine translation and translation memory
… and evaluate several models for integrating Machine Translation (MT) output into a Translation Memory (TM) environment to facilitate the adoption of MT technology in the localization industry. We begin with the integration on the segment level via translation recommendation and translation …
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Resourcing machine translation with parallel treebanks
… of syntax-based approaches to data-driven machine translation (MT) are clear: given the right model, a combination of hierarchical structure, constituent labels and morphological information can be exploited to produce more fluent, grammatical translation output. This has been demonstrated …
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Automatic generation of parallel treebanks: an efficient unsupervised system
… boost research in the field of syntaxaugmented machine translation and lead to advancements in other fields where parallel treebanks can be employed.
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Word alignment and smoothing methods in statistical machine translation: Noise, prior knowledge and overfitting
This thesis discusses how to incorporate linguistic knowledge into an SMT system. Although one important category of linguistic knowledge is that obtained by a constituent / dependency parser, a POS / super tagger, and a morphological analyser, linguistic knowledge here includes larger domains than …
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An automatic machine translation system for English-Maltese
Machine Translation is a research field in Computer Science whose aim is to automate the process of translating text from one language to another using computers. This field is of social, political, commercial, scientific, intellectual and even philosophical interest. Research in MT has been going …
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An Investigation into Automatic Translation of Prepositions in IT Technical Documentation from English to Chinese
Machine Translation (MT) technology has been widely used in the localisation industry to boost the productivity of professional translators. However, due to the high quality of translation expected, the translation performance of an MT system in isolation is less than satisfactory due to various …
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Integrating source-language context into log-linear models of statistical machine translation
… typically used in state-of-the-art statistical machine translation (SMT) model dependencies between the source and target phrases, but not among the phrases in the source language themselves. A swathe of research has demonstrated that integrating source context modelling directly into log-linear …
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Incorporating translation quality-oriented features into log-linear models of machine translation
The current state-of-the-art approach to Machine Translation (MT) has limitations which could be alleviated by the use of syntax-based models. Although the benefits of syntax use in MT are becoming clear with the ongoing improvements in string-to-tree and tree-to-string systems, tree-to-tree …
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Constrained word alignment models for statistical machine translation
… fundamental and crucial component in Statistical Machine Translation (SMT) systems. Despite the enormous progress made in the past two decades, this task remains an active research topic simply because the quality of word alignment is still far from optimal. Most state-of-the-art word alignment …
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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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Investigating the effects of controlled language on the reading and comprehension of machine translated texts: a mixed-methods approach
… support documentation produced by a statistical machine translation system. Readability is operationalised here as the extent to which a text can be easily read in terms of formal linguistic elements; while comprehensibility is defined as how easily a text’s content can be understood by the …
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