DE eng

Search in the Catalogues and Directories

Page: 1 2 3 4 5...27
Hits 1 – 20 of 526

1
How much context span is enough? Examining context-related issues for document-level MT
In: Castilho, Sheila orcid:0000-0002-8416-6555 (2022) How much context span is enough? Examining context-related issues for document-level MT. In: 13th Language Resources and Evaluation Conference, 21-23 June 2022, Marseille, France. (In Press) (2022)
BASE
Show details
2
An investigation into multi-word expressions in machine translation
Han, Lifeng. - : Dublin City University. School of Computing, 2022. : Dublin City University. ADAPT, 2022
In: Han, Lifeng orcid:0000-0002-3221-2185 (2022) An investigation into multi-word expressions in machine translation. PhD thesis, Dublin City University. (2022)
BASE
Show details
3
An investigation of English-Irish machine translation and associated resources
Dowling, Meghan. - : Dublin City University. School of Computing, 2022. : Dublin City University. ADAPT, 2022
In: Dowling, Meghan orcid:0000-0003-1637-4923 (2022) An investigation of English-Irish machine translation and associated resources. PhD thesis, Dublin City University. (2022)
BASE
Show details
4
The role of machine translation in translation education: A thematic analysis of translator educators’ beliefs
In: Translation and Interpreting : the International Journal of Translation and Interpreting Research, Vol 14, Iss 1, Pp 177-197 (2022) (2022)
BASE
Show details
5
DELA Corpus - A Document-Level Corpus Annotated with Context-Related Issues
In: Castilho, Sheila orcid:0000-0002-8416-6555 , Cavalheiro Camargo, João Lucas orcid:0000-0003-3746-1225 , Menezes, Miguel and Way, Andy orcid:0000-0001-5736-5930 (2021) DELA Corpus - A Document-Level Corpus Annotated with Context-Related Issues. In: Sixth Conference on Machine Translation (WMT21), 10-11 Nov 2021, Punta Cana, Dominican Republic (Online). ISBN 978-1-954085-94-7 (2021)
BASE
Show details
6
Can Google Translate Rewire Your L2 English Processing?
In: Resende, Natália orcid:0000-0002-5248-2457 and Way, Andy orcid:0000-0001-5736-5930 (2021) Can Google Translate Rewire Your L2 English Processing? Digital, 1 (1). pp. 66-85. ISSN 2673-6470 (2021)
BASE
Show details
7
Chinese character decomposition for neural MT with multi-word expressions
In: Han, Lifeng orcid:0000-0002-3221-2185 , Jones, Gareth J.F. orcid:0000-0003-2923-8365 , Smeaton, Alan F. orcid:0000-0003-1028-8389 and Bolzoni, Paolo (2021) Chinese character decomposition for neural MT with multi-word expressions. In: 23rd Nordic Conference on Computational Linguistics (NoDaLiDa 2021), 31 May- 2 June 2021, Reykjavik, Iceland (Online). (In Press) (2021)
BASE
Show details
8
Translation quality assessment: a brief survey on manual and automatic methods
In: Han, Lifeng orcid:0000-0002-3221-2185 , Jones, Gareth J.F. orcid:0000-0003-2923-8365 and Smeaton, Alan F. orcid:0000-0003-1028-8389 (2021) Translation quality assessment: a brief survey on manual and automatic methods. In: MoTra21: Workshop on Modelling Translation: Translatology in the Digital Age, 31 May- 2 Jun 2021, Rejkjavik, Iceland (Online). (In Press) (2021)
BASE
Show details
9
Towards document-level human MT evaluation: On the Issues of annotator agreement, effort and misevaluation
In: Castilho, Sheila orcid:0000-0002-8416-6555 (2021) Towards document-level human MT evaluation: On the Issues of annotator agreement, effort and misevaluation. In: 16th Conference of the European Chapter of the Association for Computational Linguistics - EACL 2021., 19-23 April 2021, Online. (In Press) (2021)
BASE
Show details
10
Meta-evaluation of machine translation evaluation methods
In: Han, Lifeng orcid:0000-0002-3221-2185 (2021) Meta-evaluation of machine translation evaluation methods. In: Workshop on Informetric and Scientometric Research (SIG-MET), 23-24 Oct 2021, Online. (2021)
BASE
Show details
11
Unsupervised Morphological Segmentation and Part-of-Speech Tagging for Low-Resource Scenarios
Eskander, Ramy. - 2021
BASE
Show details
12
Wittgenstein in the Machine
Liu, Lydia H.. - 2021
BASE
Show details
13
Wittgenstein in the Machine ...
Liu, Lydia H.. - : Columbia University, 2021
BASE
Show details
14
Unsupervised Morphological Segmentation and Part-of-Speech Tagging for Low-Resource Scenarios ...
Eskander, Ramy. - : Columbia University, 2021
BASE
Show details
15
Innovations in machine learning: a case study of the Fabricius Workbench
Kelly, Bree. - : Sydney, Australia : Macquarie University, 2021
BASE
Show details
16
Meaning and translation : theory and practice of machine translation as exemplified by applicative and cognitive grammars
Guerecheau, Chantal. - : University of St Andrews, 2021. : The University of St Andrews, 2021
BASE
Show details
17
Machine Translation: Linguistic challenges that arise in the translation of journalistic texts ; Traducción Automática: Retos Lingüisticos que se Presentan en la Traducción de Textos Periodísticos
BASE
Show details
18
Real-time New Zealand sign language translator using convolution neural network
Jayasekera, Mathes Kankanamge Chami. - : The University of Waikato, 2021
Abstract: Over the past quarter of a century, machine Learning performs an essential role in information technology revolution. From predictive internet web browsing to autonomous vehicles; machine learning has become the heart of all intelligence applications in service today. Image classification through gesture recognition is sub field which has benefited immensely from the existence of this machine learning method. In particular, a subset of Machine Learning known as deep learning has exhibited impressive performance in this regard while outperforming other conventional approaches such as image processing. The advanced Deep Learning architectures come with artificial neural networks particularly convolution neural networks (CNN). Deep Learning has dominated the field of computer vision since 2012; however, a general criticism of this deep learning method is its dependence on large datasets. In order to overcome this criticism, research focusing on discovering data- efficient deep learning methods have been carried out. The foremost finding of the data-efficient deep learning function is a transfer learning technique, which is basically carried out with pre-trained networks. In this research, the InceptionV3 pre trained model has been used to perform the transfer learning method in a convolution neural network to implement New Zealand sign language translator in real-time. The focus of this research is to introduce a vision-based application that offers New Zealand sign language translation into text format by recognizing sign gestures to overcome the communication barriers between the deaf community and hearing-unimpaired community in New Zealand. As a byproduct of this research work, a new dataset for New Zealand sign Language alphabet has been created. After training the pre-trained InceptionV3 network with this captured dataset, a prototype for this New Zealand sign language translating system has been created.
Keyword: Artificial intelligence; Computer vision; Convolution Neural Network; Machine learning; Neural networks (Computer science); New Zealand Sign Language -- Translating -- Data processing; Sign language -- Translating -- Data processing; Sign Language Translator; Transfer Learning; Transfer learning (Machine learning); Translating and interpreting -- Data processing
URL: https://hdl.handle.net/10289/14251
BASE
Hide details
19
Modelling source- and target-language syntactic Information as conditional context in interactive neural machine translation
In: Gupta, Kamal Kumar, Haque, Rejwanul orcid:0000-0003-1680-0099 , Ekbal, Asif, Bhattacharyya, Pushpak and Way, Andy orcid:0000-0001-5736-5930 (2020) Modelling source- and target-language syntactic Information as conditional context in interactive neural machine translation. In: Proceedings of the 22nd Annual Conference of the European Association for Machine Translation, 2-6 Nov 2020, Lisboa, Portugal. (2020)
BASE
Show details
20
AlphaMWE: construction of multilingual parallel corpora with MWE annotations
In: Han, Lifeng orcid:0000-0002-3221-2185 , Jones, Gareth J.F. orcid:0000-0003-2923-8365 and Smeaton, Alan F. orcid:0000-0003-1028-8389 (2020) AlphaMWE: construction of multilingual parallel corpora with MWE annotations. In: Joint Workshop on Multiword Expressions and Electronic Lexicons (MWE-LEX 2020), 13 Dec 2020, Barcelona, Spain (Online). (2020)
BASE
Show details

Page: 1 2 3 4 5...27

Catalogues
0
0
0
0
0
0
2
Bibliographies
0
0
0
0
0
0
0
6
4
Linked Open Data catalogues
0
Online resources
0
0
0
0
Open access documents
514
0
0
0
0
© 2013 - 2024 Lin|gu|is|tik | Imprint | Privacy Policy | Datenschutzeinstellungen ändern