Results 71 to 80 of about 329,381 (313)

Extracting features from text to improve statistical machine translation

Journal of Applied Linguistics and Lexicography, 2019
In this paper we investigate the technique of extending the Moses Statistical Machine Translation (SMT) system default set of features using shallow linguistic information from source and target phrases.
Александр Павлович Молчанов
doaj   +1 more source

MATREX: the DCU MT system for WMT 2009 [PDF]

, 2009
In this paper, we describe the machine translation system in the evaluation campaign of the Fourth Workshop on Statistical Machine Translation at EACL 2009.
Du, Jinhua, He, Yifan, Penkale, Sergio, Way, Andy   +3 more
core   +2 more sources

Edinburgh's Statistical Machine Translation Systems for WMT16 [PDF]

Proceedings of the First Conference on Machine Translation: Volume 2, Shared Task Papers, 2016
This paper describes the University of Edinburgh’s phrase-based and syntax-based submissions to the shared translation tasks of the ACL 2016 First Conference on Machine Translation (WMT16). We submitted five phrase-based and five syntaxbased systems for the news task, plus one phrase-based system for the biomedical task.
Williams, Philip, Sennrich, Rico, Nadejde, Maria, Huck, Matthias, Haddow, Barry, Bojar, Ondřej   +5 more
openaire   +5 more sources

Unveiling unique protein and phosphorylation signatures in lung adenocarcinomas with and without ALK, EGFR, and KRAS genetic alterations

Molecular Oncology, EarlyView.
Proteomic and phosphoproteomic analyses were performed on lung adenocarcinoma (LUAD) tumors with EGFR, KRAS, or EML4–ALK alterations and wild‐type cases. Distinct protein expression and phosphorylation patterns were identified, especially in EGFR‐mutated tumors. Key altered pathways included vesicle transport and RNA splicing.
Fanni Bugyi, Mirjam Balbisi, Simon Sugár, Lóránd Váncza, Eszter Regős, Ilona Kovalszky, Ibolya Laczó, Tünde Harkó, Gábor Kecskeméti, Zoltán Szabó, Judit Moldvay, László Drahos, Lilla Turiák   +12 more
wiley   +1 more source

Towards using web-crawled data for domain adaptation in statistical machine translation [PDF]

, 2011
This paper reports on the ongoing work focused on domain adaptation of statistical machine translation using domain-specific data obtained by domain-focused web crawling.
Giagkou, Maria, Papavassiliou, Vassilis, Pecina, Pavel, Prokopidis, Prokopis, Toral, Antonio, Way, Andy   +5 more
core  

Characterization of WAC interactions with R2TP and TTT chaperone complexes linking glucose and glutamine availability to mTORC1 activity

FEBS Open Bio, EarlyView.
TTT and R2TP chaperone complexes are required for the assembly and activation of mTORC1. WAC directly interacts with components of TTT, R2TP, and mTORC1, and these interactions are affected by the availability of glucose and glutamine, correlating with changes in mTORC1 activity.
Sofía Cabezudo, Natalia Cuervo, Carmen García‐Martín, Andrés López‐Perrote, Clara Reglero, Adrián Maqueda‐Real, Ana González‐Corpas, Marina Serna, Diego Megías, Alejo Efeyan, Solip Park, Oscar Llorca   +11 more
wiley   +1 more source

Machine Translation as a Complex System: The Role of Esperanto [PDF]

Interdisciplinary Description of Complex Systems, 2015
The history of machine translation and the history of Esperanto have long been connected, as they are two different ways to deal with the same problem: the problem of communication across language barriers.
Federic Gobbo
doaj   +1 more source

Supertagged phrase-based statistical machine translation [PDF]

, 2007
Until quite recently, extending Phrase-based Statistical Machine Translation (PBSMT) with syntactic structure caused system performance to deteriorate.
Hassan, Hany, Sima'an, Khalil, Way, Andy
core   +2 more sources

Data‐driven forecasting of ship motions in waves using machine learning and dynamic mode decomposition

International Journal of Adaptive Control and Signal Processing, EarlyView.
Summary Data‐driven forecasting of ship motions in waves is investigated through feedforward and recurrent neural networks as well as dynamic mode decomposition. The goal is to predict future ship motion variables based on past data collected on the field, using equation‐free approaches.
Matteo Diez, Mauro Gaggero, Andrea Serani   +2 more
wiley   +1 more source

Improving Transformer-Based Neural Machine Translation with Prior Alignments

Complexity, 2021
Transformer is a neural machine translation model which revolutionizes machine translation. Compared with traditional statistical machine translation models and other neural machine translation models, the recently proposed transformer model radically ...
Thien Nguyen, Lam Nguyen, Phuoc Tran, Huu Nguyen   +3 more
doaj   +1 more source