Results 51 to 60 of about 574,173 (343)
FEBS Letters, EarlyView.This study reveals how the mitochondrial protein Slm35 is regulated in Saccharomyces cerevisiae. The authors identify stress‐responsive DNA elements and two upstream open reading frames (uORFs) in the 5′ untranslated region of SLM35. One uORF restricts translation, and its mutation increases Slm35 protein levels and mitophagy.
Hernán Romo‐Casanueva +5 more
wiley +1 more source
Machine translation using natural language processing [PDF]
MATEC Web of Conferences, 2019 Machine Translation is the translation of text or speech by a computer with no human involvement. It is a popular topic in research with different methods being created, like rule-based, statistical and examplebased machine translation.
Rishita Middi Venkata Sai +2 more
doaj +1 more source
Treatment of Markup in Statistical Machine Translation
DiscoMT@EMNLP, 2017 We present work on handling XML markup in Statistical Machine Translation (SMT). The methods we propose can be used to effectively preserve markup (for instance inline formatting or structure) and to place markup correctly in a machine-translated segment.
Mathias Müller
semanticscholar +1 more source
Molecular Oncology, EarlyView.CDK11 inhibition stabilises the tumour suppressor p53 and triggers the production of an alternative p21WAF1 splice variant p21L, through the inactivation of the spliceosomal protein SF3B1. Unlike the canonical p21WAF1 protein, p21L is localised in the cytoplasm and has reduced cell cycle‐blocking activity.
Radovan Krejcir +12 more
wiley +1 more source
A syntactic skeleton for statistical machine translation [PDF]
, 2006 We present a method for improving statistical machine translation performance by using linguistically motivated syntactic information. Our algorithm recursively decomposes source language sentences into syntactically simpler and shorter chunks, and ...
Groves, Declan +4 more
core +2 more sources
Target-Side Context for Discriminative Models in Statistical Machine Translation [PDF]
, 2016 Discriminative translation models utilizing source context have been shown to help statistical machine translation performance. We propose a novel extension of this work using target context information.
Bojar, Ondřej +3 more
core +2 more sources
Molecular Oncology, EarlyView.Clinical trials on PARP inhibitors in urothelial carcinoma (UC) showed limited efficacy and a lack of predictive biomarkers. We propose SLFN5, SLFN11, and OAS1 as UC‐specific response predictors. We suggest Talazoparib as the better PARP inhibitor for UC than Olaparib.
Jutta Schmitz +15 more
wiley +1 more source
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 +2 more
doaj +1 more source
F-structure transfer-based statistical machine translation [PDF]
, 2009 In this paper, we describe a statistical deep syntactic transfer decoder that is trained fully automatically on parsed bilingual corpora. Deep syntactic transfer rules are induced automatically from the f-structures of a LFG parsed bitext corpus by ...
Bryl, Anton +2 more
core
Findings of the 2014 Workshop on Statistical Machine Translation
WMT@ACL, 2014 This paper presents the results of the WMT14 shared tasks, which included a standard news translation task, a separate medical translation task, a task for run-time estimation of machine translation quality, and a metrics task.
Ondrej Bojar +12 more
semanticscholar +1 more source