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Transformer-based NMT : modeling, training and implementation
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Xu, Hongfei. - : Saarländische Universitäts- und Landesbibliothek, 2021
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Deep interactive text prediction and quality estimation in translation interfaces
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In: Hokamp, Christopher M. (2018) Deep interactive text prediction and quality estimation in translation interfaces. PhD thesis, Dublin City University. (2018)
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A Hybrid Machine Translation Framework for an Improved Translation Workflow
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Pal, Santanu. - : Saarländische Universitäts- und Landesbibliothek, 2018
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Pluricentric languages : automatic identification and linguistic variation ; Plurizentrische Sprachen : automatische Spracherkennung und linguistische Variation
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Statistical post-editing and quality estimation for machine translation systems
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In: Béchara, Hanna (2014) Statistical post-editing and quality estimation for machine translation systems. Master of Science thesis, Dublin City University. (2014)
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Computer assisted (language) learning (CA(L)L) for the inclusive classroom
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Greene, Cara N.. - : Dublin City University. Centre for Next Generation Localisation (CNGL), 2013. : Dublin City University. National Centre for Language Technology (NCLT), 2013. : Dublin City University. School of Computing, 2013
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In: Greene, Cara N. (2013) Computer assisted (language) learning (CA(L)L) for the inclusive classroom. PhD thesis, Dublin City University. (2013)
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Domain adaptation for statistical machine translation of corporate and user-generated content
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In: Banerjee, Pratyush (2013) Domain adaptation for statistical machine translation of corporate and user-generated content. PhD thesis, Dublin City University. (2013)
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Definition of interfaces
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In: Almaghout, Hala, Bicici, Ergun, Doherty, Stephen orcid:0000-0003-0887-1049 , Gaspari, Federico, Groves, Declan, Toral, Antonio orcid:0000-0003-2357-2960 , van Genabith, Josef orcid:0000-0003-1322-7944 , Popović, Maja orcid:0000-0001-8234-8745 and Piperidis, Stelios (2013) Definition of interfaces. Project Report. QTLaunchPad. (2013)
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Mapping the industry I: Findings on translation technologies and quality assessment
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In: Doherty, Stephen orcid:0000-0003-0887-1049 , Gaspari, Federico, Groves, Declan and van Genabith, Josef orcid:0000-0003-1322-7944 (2013) Mapping the industry I: Findings on translation technologies and quality assessment. Technical Report. GALA. (2013)
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Quality metrics for human and machine translation.
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In: Doherty, Stephen orcid:0000-0003-4864-5986 , Gaspari, Federico, Groves, Declan, Srivastava, Ankit Kumar and van Genabith, Josef orcid:0000-0003-1322-7944 (2013) Quality metrics for human and machine translation. Project Report. UNSPECIFIED. (2013)
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Detecting grammatical errors with treebank-induced, probabilistic parsers
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In: Wagner, Joachim orcid:0000-0002-8290-3849 (2012) Detecting grammatical errors with treebank-induced, probabilistic parsers. PhD thesis, Dublin City University. (2012)
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Deep Syntax in Statistical Machine Translation
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Graham, Yvette. - : Dublin City University. National Centre for Language Technology (NCLT), 2011. : Dublin City University. School of Computing, 2011
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In: Graham, Yvette (2011) Deep Syntax in Statistical Machine Translation. PhD thesis, Dublin City University. (2011)
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Treebank-Based Deep Grammar Acquisition for French Probabilistic Parsing Resources
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Schluter, Natalie. - : Dublin City University. National Centre for Language Technology (NCLT), 2011. : Dublin City University. School of Computing, 2011
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In: Schluter, Natalie (2011) Treebank-Based Deep Grammar Acquisition for French Probabilistic Parsing Resources. PhD thesis, Dublin City University. (2011)
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The integration of machine translation and translation memory
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He, Yifan. - : Dublin City University. Centre for Next Generation Localisation (CNGL), 2011. : Dublin City University. School of Computing, 2011
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In: He, Yifan (2011) The integration of machine translation and translation memory. PhD thesis, Dublin City University. (2011)
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Abstract:
We design 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 reranking. Given an input to be translated, our translation recommendation model compares the output from the MT and the TMsystems, and presents the better one to the post-editor. Our translation reranking model combines k-best lists from both systems, and generates a new list according to estimated post-editing effort. We perform both automatic and human evaluation on these models. When measured against the consensus of human judgement, the recommendation model obtains 0.91 precision at 0.93 recall, and the reranking model obtains 0.86 precision at 0.59 recall. The high precision of these models indicates that they can be integrated into TM environments without the risk of deteriorating the quality of the post-editing candidate, and can thereby preserve TM assets and established cost estimation methods associated with TMs. We then explore methods for a deeper integration of translation memory and machine translation on the sub-segment level. We predict whether phrase pairs derived from fuzzy matches could be used to constrain the translation of an input segment. Using a series of novel linguistically-motivated features, our constraints lead both to more consistent translation output, and to improved translation quality, reflected by a 1.2 improvement in BLEU score and a 0.72 reduction in TER score, both of statistical significance (p < 0.01). In sum, we present our work in three aspects: 1) translation recommendation and translation reranking models that can access high quality MT outputs in the TMenvironment, 2) a sub-segment translation memory and machine translation integration model that improves both translation consistency and translation quality, and 3) a human evaluation pipeline to validate the effectiveness of our models with human judgements.
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Keyword:
Computational linguistics; Machine translating; Translation Memory
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URL: http://doras.dcu.ie/16426/
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Treebank-based automatic acquisition of wide coverage, deep linguistic resources for Japanese
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Oya, Masanori. - : Dublin City University. National Centre for Language Technology (NCLT), 2010. : Dublin City University. School of Computing, 2010
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In: Oya, Masanori (2010) Treebank-based automatic acquisition of wide coverage, deep linguistic resources for Japanese. Master of Science thesis, Dublin City University. (2010)
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