Results 101 to 110 of about 753,855 (301)
Non-Autoregressive Machine Translation with Auxiliary Regularization
, 2019 As a new neural machine translation approach, Non-Autoregressive machine Translation (NAT) has attracted attention recently due to its high efficiency in inference.
He, Di +5 more
core +1 more source
Molecular Oncology, EarlyView.Meta‐transcriptome analysis identified FGF19 as a peptide enteroendocrine hormone associated with colorectal cancer prognosis. In vivo xenograft models showed release of FGF19 into the blood at levels that correlated with tumor volumes. Tumoral‐FGF19 altered murine liver metabolism through FGFR4, thereby reducing bile acid synthesis and increasing ...
Jordan M. Beardsley +5 more
wiley +1 more source
Molecular Oncology, EarlyView.Aldehyde dehydrogenase 1A1 (ALDH1A1) is a cancer stem cell marker in several malignancies. We established a novel epithelial cell line from rectal adenocarcinoma with unique overexpression of this enzyme. Genetic attenuation of ALDH1A1 led to increased invasive capacity and metastatic potential, the inhibition of proliferation activity, and ultimately ...
Martina Poturnajova +25 more
wiley +1 more source
Mapping The Landscape of Machine Translation Error Research: A Bibliometric Review (1980-2023)
Buletin Al-TurasPurpose Despite machine translation enhances communication process, it faces problems to guarantee accurate translation. Efforts to address these problems have been done by many researchers.
Sri Dewi Priwarti Siregar +2 more
doaj +1 more source
The polylogue project: part 2: errors: lots in translation [PDF]
, 2012 This collective piece [edited by F. Senn, E. Mihalycsa and J. Wawrzycka], the work of nine authors and covering some ten languages, examines the creative possibilities of translation to invent analogous forms to the broad range of (volitional) errors ...
Bindervoet, Erik +8 more
core +1 more source
Attention Focusing for Neural Machine Translation by Bridging Source and Target Embeddings
, 2018 In neural machine translation, a source sequence of words is encoded into a vector from which a target sequence is generated in the decoding phase. Differently from statistical machine translation, the associations between source words and their possible
Branco, António +4 more
core +1 more source
Targeted modulation of IGFL2‐AS1 reveals its translational potential in cervical adenocarcinoma
Molecular Oncology, EarlyView.Cervical adenocarcinoma patients face worse outcomes than squamous cell carcinoma counterparts despite similar treatment. The identification of IGFL2‐AS1's differential expression provides a molecular basis for distinguishing these histotypes, paving the way for personalized therapies and improved survival in vulnerable populations globally.
Ricardo Cesar Cintra +6 more
wiley +1 more source
ERRORS IN THE PROCESS OF SIMULTANEOUS INTERPRETING
Вестник Кемеровского государственного университета, 2017 The article is devoted to investigation of the specifics of simultaneous interpretation as a top of the translation skills, which determines high demands to the level of development of translation competence.
E. E. Mikhaylova, A. G. Fomin
doaj +1 more source
An Analysis Of Students' Grammatical Errors In Indonesian-english Translation [PDF]
, 2015 The purpose of this research is to find out the grammatical errors most frequently made by the fifth semester students of English Education Study Program, regular A, at Teacher Training and Education Faculty of Tanjungpura University in academic year ...
Arifin, Z. (Zainal) +2 more
core
, 2014 Inspired by embedded programming languages, an embedded CNL (controlled natural language) is a proper fragment of an entire natural language (its host language), but it has a parser that recognizes the entire host language.
Ranta, Aarne
core +1 more source