Assessing sentence scoring techniques for extractive text summarization
Text summarization is the process of automatically creating a shorter version of one or more
text documents. It is an important way of finding relevant information in large text libraries or …
text documents. It is an important way of finding relevant information in large text libraries or …
[PDF][PDF] Fast and robust neural network joint models for statistical machine translation
J Devlin, R Zbib, Z Huang, T Lamar… - proceedings of the …, 2014 - aclanthology.org
Recent work has shown success in using neural network language models (NNLMs) as
features in MT systems. Here, we present a novel formulation for a neural network joint …
features in MT systems. Here, we present a novel formulation for a neural network joint …
A unified framework for multilingual speech recognition in air traffic control systems
This work focuses on robust speech recognition in air traffic control (ATC) by designing a
novel processing paradigm to integrate multilingual speech recognition into a single …
novel processing paradigm to integrate multilingual speech recognition into a single …
Continuous space translation models with neural networks
The use of conventional maximum likelihood estimates hinders the performance of existing
phrase-based translation models. For lack of sufficient training data, most models only …
phrase-based translation models. For lack of sufficient training data, most models only …
View n-gram network for 3d object retrieval
How to aggregate multi-view representations of a 3D object into an informative and
discriminative one remains a key challenge for multi-view 3D object retrieval. Existing …
discriminative one remains a key challenge for multi-view 3D object retrieval. Existing …
[PDF][PDF] A joint sequence translation model with integrated reordering
We present a novel machine translation model which models translation by a linear
sequence of operations. In contrast to the “N-gram” model, this sequence includes not only …
sequence of operations. In contrast to the “N-gram” model, this sequence includes not only …
Statistical machine translation enhancements through linguistic levels: A survey
Machine translation can be considered a highly interdisciplinary and multidisciplinary field
because it is approached from the point of view of human translators, engineers, computer …
because it is approached from the point of view of human translators, engineers, computer …
A neural approach to source dependence based context model for statistical machine translation
K Chen, T Zhao, M Yang, L Liu… - … on Audio, Speech …, 2017 - ieeexplore.ieee.org
In statistical machine translation, translation prediction considers not only the aligned source
word itself but also its source contextual information. Learning context representation is a …
word itself but also its source contextual information. Learning context representation is a …
Early-warning prediction of student performance and engagement in open book assessment by reading behavior analysis
Digitized learning materials are a core part of modern education, and analysis of the use can
offer insight into the learning behavior of high and low performing students. The topic of …
offer insight into the learning behavior of high and low performing students. The topic of …
Study and comparison of rule-based and statistical catalan-spanish machine translation systems
Abstract Machine translation systems can be classified into rule-based and corpus-based
approaches, in terms of their core methodology. Since both paradigms have been largely …
approaches, in terms of their core methodology. Since both paradigms have been largely …