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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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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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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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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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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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Abstract:
We invent referential translation machines (RTMs), a computational model for identifying the translation acts between any two data sets with respect to a reference corpus selected in the same domain, which can be used for judging the semantic similarity between text. RTMs make quality and semantic similarity judgments possible by using retrieved relevant training data as interpretants for reaching shared semantics. An MTPP (machine translation performance predictor) model derives features measuring the closeness of the test sentences to the training data, the difficulty of translating them, and the presence of acts of translation involved. We view semantic similarity as paraphrasing between any two given texts. Each view is modeled by an RTM model, giving us a new perspective on the binary relationship between the two. Our prediction model is the $15$th on some tasks and $30$th overall out of $89$ submissions in total according to the official results of the Semantic Textual Similarity (STS 2013) challenge.
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Keyword:
Artificial intelligence; Computational linguistics; computational semantics; Information retrieval; Machine learning; Machine translating; machine translation
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URL: http://doras.dcu.ie/18564/
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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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Identifying high-impact sub-structures for convolution kernels in document-level sentiment classification
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In: Tu, Zhaopeng, He, Yifan, Foster, Jennifer orcid:0000-0002-7789-4853 , van Genabith, Josef orcid:0000-0003-1322-7944 , Liu, Qun and Shouxun, Lin (2012) Identifying high-impact sub-structures for convolution kernels in document-level sentiment classification. In: Annual Meeting of the Association for Computational Linguistics (ACL 2012), 9-11 Jul 2012, Jelu, Korea. (2012)
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Judging grammaticality: experiments in sentence classification
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In: Wagner, Joachim orcid:0000-0002-8290-3849 , Foster, Jennifer orcid:0000-0002-7789-4853 and van Genabith, Josef orcid:0000-0003-1322-7944 (2009) Judging grammaticality: experiments in sentence classification. CALICO Journal, 26 (3). pp. 474-490. ISSN 0742-7778 (2009)
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Towards a machine-learning architecture for lexical functional grammar parsing
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In: Chrupała, Grzegorz (2008) Towards a machine-learning architecture for lexical functional grammar parsing. PhD thesis, Dublin City University. (2008)
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Using machine-learning to assign function labels to parser output for Spanish
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In: Chrupała, Grzegorz and van Genabith, Josef (2006) Using machine-learning to assign function labels to parser output for Spanish. In: COLING/ACL 2006 - 21st International Conference on Computational Linguistics and 44th Annual Meeting of the Association for Computational Linguistics, 17-21 July 2006, Sydney, Australia. (2006)
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