Results 61 to 70 of about 521,807 (336)

The thioredoxin‐like and one glutaredoxin domain are required to rescue the iron‐starvation phenotype of HeLa GLRX3 knock out cells

FEBS Letters, EarlyView.
Glutaredoxin (Grx) 3 proteins contain a thioredoxin domain and one to three class II Grx domains. These proteins play a crucial role in iron homeostasis in eukaryotic cells. In human Grx3, at least one of the two Grx domains, together with the thioredoxin domain, is essential for its function in iron metabolism.
Laura Magdalena Jordt, Manuela Gellert, Finja Zelms, Sander Bekeschus, Christopher Horst Lillig   +4 more
wiley   +1 more source

Learning to Generate Pseudo-Code from Source Code Using Statistical Machine Translation (T)

International Conference on Automated Software Engineering, 2015
Pseudo-code written in natural language can aid the comprehension of source code in unfamiliar programming languages. However, the great majority of source code has no corresponding pseudo-code, because pseudo-code is redundant and laborious to create ...
Yusuke Oda, Hiroyuki Fudaba, Graham Neubig, Hideaki Hata, S. Sakti, T. Toda, Satoshi Nakamura   +6 more
semanticscholar   +1 more source

Robust Tuning Datasets for Statistical Machine Translation

, 2017
We explore the idea of automatically crafting a tuning dataset for Statistical Machine Translation (SMT) that makes the hyper-parameters of the SMT system more robust with respect to some specific deficiencies of the parameter tuning algorithms.
Nakov, Preslav, Vogel, Stephan
core   +1 more source

Insights into pegRNA design from editing of the cardiomyopathy‐associated phospholamban R14del mutation

FEBS Letters, EarlyView.
This study reveals how prime editing guide RNA (pegRNA) secondary structure and reverse transcriptase template length affect prime editing efficiency in correcting the phospholamban R14del cardiomyopathy‐associated mutation. Insights support the design of structurally optimized enhanced pegRNAs for precise gene therapy.
Bing Yao, Qiangbing Yang, Christian J.B. Snijders Blok, Mark A. Daniels, Pieter A. Doevendans, Raymond Schiffelers, Joost P.G. Sluijter, Zhiyong Lei   +7 more
wiley   +1 more source

Progress in Machine Translation

Engineering, 2022
After more than 70 years of evolution, great achievements have been made in machine translation. Especially in recent years, translation quality has been greatly improved with the emergence of neural machine translation (NMT).
Haifeng Wang, Hua Wu, Zhongjun He, Liang Huang, Kenneth Ward Church   +4 more
doaj  

Terminology Translation in Low-Resource Scenarios

Information, 2019
Term translation quality in machine translation (MT), which is usually measured by domain experts, is a time-consuming and expensive task. In fact, this is unimaginable in an industrial setting where customised MT systems often need to be updated for ...
Rejwanul Haque, Mohammed Hasanuzzaman, Andy Way   +2 more
doaj   +1 more source

A Statistical Machine Translation Primer

, 2008
Series: Neural Information ...
Cancedda, Nicola, Dymetman, Marc, Foster, George, Goutte, Cyril   +3 more
openaire   +3 more sources

Modeling with structures in statistical machine translation [PDF]

Proceedings of the 17th international conference on Computational linguistics -, 1998
Most statistical machine translation systems employ a word-based alignment model. In this paper we demonstrate that word-based alignment is a major cause of translation errors. We propose a new alignment model based on shallow phrase structures, and the structures can be automatically acquired from parallel corpus.
Wang, Ye-Yi, Waibel, Alex
openaire   +2 more sources

Statistically motivated example-based machine translation using translation memory [PDF]

, 2010
In this paper we present a novel way of integrating Translation Memory into an Example-based Machine translation System (EBMT) to deal with the issue of low resources. We have used a dialogue of 380 sentences as the example-base for our system.
Dandapat, Sandipan, Kumar Naskar, Sudip, Morrissey, Sara, Somers, Harold   +3 more
core  

OpenMaTrEx: a free/open-source marker-driven example-based machine translation system [PDF]

, 2010
We describe OpenMaTrEx, a free/open-source example based machine translation (EBMT) system based on the marker hypothesis, comprising a marker-driven chunker, a collection of chunk aligners, and two engines: one based on a simple proof-of-concept ...
Dandapat, Sandipan, Forcada, Mikel, Groves, Declan, Penkale, Sergio, Tinsley, John, Way, Andy   +5 more
core   +1 more source