There has been increasing demand to develop effective computer-assisted language training (CAPT) systems, which can provide feedback on mispronunciations and facilitate second-language (L2) learners to improve their speaking proficiency through repea
ted practice. Due to the shortage of non-native speech for training the automatic speech recognition (ASR) module of a CAPT system, the corresponding mispronunciation detection performance is often affected by imperfect ASR. Recognizing this importance, we in this paper put forward a two-stage mispronunciation detection method. In the first stage, the speech uttered by an L2 learner is processed by an end-to-end ASR module to produce N-best phone sequence hypotheses. In the second stage, these hypotheses are fed into a pronunciation model which seeks to faithfully predict the phone sequence hypothesis that is most likely pronounced by the learner, so as to improve the performance of mispronunciation detection. Empirical experiments conducted a English benchmark dataset seem to confirm the utility of our method.
This work describes analysis of nature and causes of MT errors observed by different evaluators under guidance of different quality criteria: adequacy and comprehension and and a not specified generic mixture of adequacy and fluency. We report result
s for three language pairs and two domains and eleven MT systems. Our findings indicate that and despite the fact that some of the identified phenomena depend on domain and/or language and the following set of phenomena can be considered as generally challenging for modern MT systems: rephrasing groups of words and translation of ambiguous source words and translating noun phrases and and mistranslations. Furthermore and we show that the quality criterion also has impact on error perception. Our findings indicate that comprehension and adequacy can be assessed simultaneously by different evaluators and so that comprehension and as an important quality criterion and can be included more often in human evaluations.
The failiers in fixed prosthodontics are very dangerous on the health of the periodontics.
This study aims to early diagnose the periodontitis caused by the failiers in the designe and
application of fixed prosthodontics.
The study sample consists
of 15 abutments in 15 patients aged (15-50) years with fixed
prosthodontics aged (1-3) years. (Average 2 years)
The results show the negative effect of bad prosthodontics on the absorbtion of the buccal
cortical plate due to very long margines of the prosthodontics, the leakage of the adhesing
cement and the beveldsholdermargines that play a role in changing the periodontal biofilm.
Medication errors are the most common medical errors, which may cause complications in
patients, nursing staff are the first one who deal with these errors, so the current descriptive
study aim to identify the factors leading to the Medication erro
rs at Tishreen University
Hospital from the Point of view of 48 nurses working at internal department by using
suitable tool for the study object. The study found that the most important factors that lead
to medication errors are the inability to read instructions because of the poor doctor's line,
Inability to interpret physician order correctly, the Heavy workload and fatigue, tension
and Lack of sleep, and interruption and Distract during Work by someone else,
inconvenience during work. The study recommended to establishment of educational
courses for the nursing staff in the hospital on the subject of the factors causing the
Medication errors and ways to prevent their effects, to inform the doctors and nurses
working at hospital about the results of this study, put these results in the consideration of
policy makers of the hospital to develop rules and strategies that exceed the impact of these
factors to include Patient safety, and similar studies in several hospitals to ascertain the
results of the study.
This article aims to the model the influence of geometrical errors
(eccentricity and alignment errors) on static and dynamic behavior
of helical geared transmission by studying its influence on the load
and the transmission errors. For this propos
, a dynamic model is
developed to geared transmission with 36 degree of freedom
(tension –compression , torsion and bending). The equations of
motion are solved by combining a time-step integration algorithms
with several iterative and Newmark's method .
This study aims at determining of cut-off score of the criterionreferenced
test that measures the fifth primary grades ability to solve
verbal problems that require carrying out division and other calculations
in homs by using contrasting groups m
ethod and making sure of it
efficiency of Lessing from the classification errors comparative with the
sample mean with the volume /400/ male and female pupil.
The study concluded that the classification errors yielded by the
cut-off score identified by contrasting groups method /74/ were less than
the sample mean /66/ of which to point out efficiency the used method at
this study.
