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Predicting sentence translation quality using extrinsic and language independent features
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In: Bicici, Ergun, Groves, Declan and van Genabith, Josef orcid:0000-0003-1322-7944 (2013) Predicting sentence translation quality using extrinsic and language independent features. Machine Translation, 27 (3-4). pp. 171-192. ISSN 0922-6567 (2013)
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Working with a small dataset - semi-supervised dependency parsing for Irish
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In: Lynn, Teresa, Foster, Jennifer orcid:0000-0002-7789-4853 , Dras, Mark orcid:0000-0001-9908-7182 and van Genabith, Josef orcid:0000-0003-1322-7944 (2013) Working with a small dataset - semi-supervised dependency parsing for Irish. In: Fourth Workshop on Statistical Parsing of Morphologically Rich Languages, 18 Oct 2013, Seattle, WA. USA. (2013)
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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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Abstract:
The growing popularity of Statistical Machine Translation (SMT) techniques in recent years has led to the development of multiple domain-specic resources and adaptation scenarios. In this thesis we address two important and industrially relevant adaptation scenarios, each suited to different kinds of content. Initially focussing on professionally edited `enterprise-quality' corporate content, we address a specic scenario of data translation from a mixture of different domains where, for each of them domain-specific data is available. We utilise an automatic classifier to combine multiple domain-specific models and empirically show that such a configuration results in better translation quality compared to both traditional and state-of-the-art techniques for handling mixed domain translation. In the second phase of our research we shift our focus to the translation of possibly `noisy' user-generated content in web-forums created around products and services of a multinational company. Using professionally edited translation memory (TM) data for training, we use different normalisation and data selection techniques to adapt SMT models to noisy forum content. In this scenario, we also study the effect of mixture adaptation using a combination of in-domain and out-of-domain data at different component levels of an SMT system. Finally we focus on the task of optimal supplementary training data selection from out-of-domain corpora using a novel incremental model merging mechanism to adapt TM-based models to improve forum-content translation quality.
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Keyword:
Computational linguistics; Machine learning; Machine translating; SMT; Statistical Machine Translation
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URL: http://doras.dcu.ie/17722/
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CNGL: Grading student answers by acts of translation
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In: Bicici, Ergun orcid:0000-0002-2293-2031 and van Genabith, Josef orcid:0000-0003-1322-7944 (2013) CNGL: Grading student answers by acts of translation. In: SEMEVAL, 14-15 Jun 2013, Atlanta, Georgia. (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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CNGL-CORE: Referential translation machines for measuring semantic similarity
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In: Bicici, Ergun orcid:0000-0002-2293-2031 and van Genabith, Josef orcid:0000-0003-1322-7944 (2013) CNGL-CORE: Referential translation machines for measuring semantic similarity. In: *SEM, 13-14 Jun 2013, Atlanta, Georgia. (2013)
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Working with a small dataset - semi-supervised dependency parsing for Irish
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A corpus-based finite-state morphological toolkit for contemporary arabic
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