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1
Transformer-based NMT : modeling, training and implementation
Xu, Hongfei. - : Saarländische Universitäts- und Landesbibliothek, 2021
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2
Deep interactive text prediction and quality estimation in translation interfaces
Hokamp, Christopher M.. - : Dublin City University. School of Computing, 2018
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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3
A Hybrid Machine Translation Framework for an Improved Translation Workflow
Pal, Santanu. - : Saarländische Universitäts- und Landesbibliothek, 2018
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4
Evaluating Evaluation Measures
Rehbein, Ines [Verfasser]; Van Genabith, Josef [Verfasser]; Nivre, Joakim [Herausgeber]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2017
DNB Subject Category Language
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5
Why is it so difficult to compare treebanks? TIGER and TüBa-D
Rehbein, Ines [Verfasser]; Van Genabith, Josef [Verfasser]; De Smedt, Koenraad [Herausgeber]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2017
DNB Subject Category Language
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6
Automatic acquisition of LFG resources for German - as good as it gets
Rehbein, Ines [Verfasser]; Van Genabith, Josef [Verfasser]; Butt, Miriam [Herausgeber]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2017
DNB Subject Category Language
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7
Treebank Annotation Schemes and Parser Evaluation for German
Rehbein, Ines [Verfasser]; van Genabith, Josef van [Verfasser]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2017
DNB Subject Category Language
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8
German particle verbs and pleonastic prepositions
Rehbein, Ines [Verfasser]; Van Genabith, Josef [Verfasser]. - Mannheim : Institut für Deutsche Sprache, Bibliothek, 2017
DNB Subject Category Language
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9
Pluricentric languages : automatic identification and linguistic variation ; Plurizentrische Sprachen : automatische Spracherkennung und linguistische Variation
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10
Statistical post-editing and quality estimation for machine translation systems
Béchara, Hanna. - : Dublin City University. School of Computing, 2014
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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11
Computer assisted (language) learning (CA(L)L) for the inclusive classroom
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
In: Greene, Cara N. (2013) Computer assisted (language) learning (CA(L)L) for the inclusive classroom. PhD thesis, Dublin City University. (2013)
Abstract: Post-Primary Schools in Ireland are inclusive with a mix of students with diverse abilities in the classroom, including students with learning and literacy difficulties, such as dyslexia. This poses a strong challenge: how to create inclusive curricula and materials that cater to the needs of diverse students? The objective of this research is to investigate whether integrating Computer Assisted (Language) Learning (CA(L)L) into the curriculum can produce inclusive curricula that cater to the needs of all students (with and without learning difficulties). The research focuses on students with dyslexia and the Junior Certificate (JC) curriculum. Mainstream and learning support teachers and students in two Irish Post-Primary schools took part in questionnaires to investigate which ICTs they use for class work. Three broad types of ICT were highlighted: general ICT tools, tools designed for students with special needs and online curriculum materials. Teachers and students then undertook a three-month project investigating how they used these ICTs. Teachers and students then took part in focus groups to develop design guidelines for developing curriculum-focused CA(L)L materials for diverse students. These guidelines were used to develop curriculum-focused CA(L)L materials for an inclusive classroom. The materials were integrated into classroom activities in two schools and evaluated through qualitative questionnaires, observation and focus groups. The research shows that (i) a CALL methodology can be successfully used for a project focused on overcoming first language difficulties, (ii) there is a lack of online curriculum-focused materials which cater to the needs of students with learning difficulties, (iii) CA(L)L materials for diverse students can be successfully integrated into an inclusive classroom, and (iv) teachers can develop their own CA(L)L materials successfully.
Keyword: Computational linguistics; Computer Assisted Language Learning (CA(L)L); Education; Educational technology; Language; Linguistics
URL: http://doras.dcu.ie/19119/
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12
Domain adaptation for statistical machine translation of corporate and user-generated content
Banerjee, Pratyush. - : Dublin City University. School of Computing, 2013
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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13
Definition of interfaces
Doherty, Stephen; Bicici, Ergun; Toral, Antonio. - : QTLaunchPad, 2013
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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14
Mapping the industry I: Findings on translation technologies and quality assessment
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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15
Quality metrics for human and machine translation.
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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16
Detecting grammatical errors with treebank-induced, probabilistic parsers
Wagner, Joachim. - : Dublin City University. School of Computing, 2012
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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17
Deep Syntax in Statistical Machine Translation
Graham, Yvette. - : Dublin City University. National Centre for Language Technology (NCLT), 2011. : Dublin City University. School of Computing, 2011
In: Graham, Yvette (2011) Deep Syntax in Statistical Machine Translation. PhD thesis, Dublin City University. (2011)
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18
Treebank-Based Deep Grammar Acquisition for French Probabilistic Parsing Resources
Schluter, Natalie. - : Dublin City University. National Centre for Language Technology (NCLT), 2011. : Dublin City University. School of Computing, 2011
In: Schluter, Natalie (2011) Treebank-Based Deep Grammar Acquisition for French Probabilistic Parsing Resources. PhD thesis, Dublin City University. (2011)
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19
The integration of machine translation and translation memory
He, Yifan. - : Dublin City University. Centre for Next Generation Localisation (CNGL), 2011. : Dublin City University. School of Computing, 2011
In: He, Yifan (2011) The integration of machine translation and translation memory. PhD thesis, Dublin City University. (2011)
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20
Treebank-based automatic acquisition of wide coverage, deep linguistic resources for Japanese
Oya, Masanori. - : Dublin City University. National Centre for Language Technology (NCLT), 2010. : Dublin City University. School of Computing, 2010
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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