181 research outputs found
UCAM Biomedical Translation at WMT19: Transfer Learning Multi-domain Ensembles
The 2019 WMT Biomedical translation task involved translating Medline
abstracts. We approached this using transfer learning to obtain a series of
strong neural models on distinct domains, and combining them into multi-domain
ensembles. We further experiment with an adaptive language-model ensemble
weighting scheme. Our submission achieved the best submitted results on both
directions of English-Spanish
An Operation Sequence Model for Explainable Neural Machine Translation
We propose to achieve explainable neural machine translation (NMT) by
changing the output representation to explain itself. We present a novel
approach to NMT which generates the target sentence by monotonically walking
through the source sentence. Word reordering is modeled by operations which
allow setting markers in the target sentence and move a target-side write head
between those markers. In contrast to many modern neural models, our system
emits explicit word alignment information which is often crucial to practical
machine translation as it improves explainability. Our technique can outperform
a plain text system in terms of BLEU score under the recent Transformer
architecture on Japanese-English and Portuguese-English, and is within 0.5 BLEU
difference on Spanish-English
LOWER BODY MUSCULOTENDON UNIT FUNCTION DURING BOUNDING, HURDLE JUMPING AND RUNNING
To facilitate exercise prescription, this study compared the function of six lower limb musculotendon units during plyometric exercises with running. Fourteen distance runners performed overground running (3.89 m/s), bounding, and hurdle jumps. Computational simulations were used to compare musculotendon unit function, peak powers, and total work. Compared to running, the hurdle jumps had greater gluteus maximus peak power absorption (12.1%; SMD 0.65), and gluteus maximus (15.7%; SMD 0.51) and soleus (16.5%; SMD 0.92) total negative work. Hurdle jumps may be an appropriate exercise when higher eccentric loads of the gluteus maximus and soleus are required. Compared to running, bounding had increased gastrocnemius total negative work (63.8%; SMD 0.81) and may be suitable when eccentric overload of the gastrocnemius is desired
Neuromuscular control and running economy is preserved in elite international triathletes after cycling
Running is the most important discipline for Olympic triathlon success. However, cycling impairs running muscle recruitment and performance in some highly trained triathletes; though it is not known if this occurs in elite international triathletes. The purpose of this study was to investigate the effect of cycling in two different protocols on running economy and neuromuscular control in elite international triathletes. Muscle recruitment and sagittal plane joint angles of the left lower extremity and running economy were compared between control (no preceding cycle) and transition (preceded by cycling) runs for two different cycle protocols (20-minute low-intensity and 50-minute high-intensity cycles) in seven elite international triathletes. Muscle recruitment and joint angles were not different between control and transition runs for either cycle protocols. Running economy was also not different between control and transition runs for the ow-intensity (62.4 ^ 4.5 vs. 62.1 ^ 4.0 ml/min/kg, p . 0.05) and high-intensity (63.4 ^ 3.5 vs. 63.3 ^ 4.3 ml/min/kg, p . 0.05) cycle protocols. The results of this study demonstrate that both low- and high-intensity cycles do not adversely influence neuromuscular control and running economy in elite international triathletes.<br /
Density and Velocity Fields from the PSCz Survey
We present the results for the predicted density and peculiar velocity fields
and the dipole from the PSCz survey of 15,000 IRAS galaxies over 84% of the
sky. We find a significant component to the dipole arising between 6000 and
15,000 km/s, but no significant component from greater distances. The
misalignment with the CMB is 20 degrees. The most remarkable feature of the
PSCz model velocity field is a coherent large-scale flow along the baseline
connecting Perseus-Pisces, the Local Supercluster, Great Attractor and the
Shapley Concentration. We have measured the parameter beta using the amplitude
of the dipole, bulk flow and point by point comparisons between the individual
velocities of galaxies in the MarkIII and SFI datasets, and the large-scale
clustering distortion in redshift space.All our results are consistent with
beta = 0.6 +- 0.1.Comment: 8 pages, 8 figures. To appear in 'Towards an Understanding of Cosmic
Flows', Victoria, July 1999, eds Courteau,S., Strauss,M., Willick,J. PAS
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