Assessing sentence scoring techniques for extractive text summarization

R Ferreira, L de Souza Cabral, RD Lins… - Expert systems with …, 2013 - Elsevier
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 …

[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 …

A unified framework for multilingual speech recognition in air traffic control systems

Y Lin, D Guo, J Zhang, Z Chen… - IEEE Transactions on …, 2020 - ieeexplore.ieee.org
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 …

Continuous space translation models with neural networks

LH Son, A Allauzen, F Yvon - … of the North American Chapter of the …, 2012 - hal.science
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 …

View n-gram network for 3d object retrieval

X He, T Huang, S Bai, X Bai - Proceedings of the IEEE/CVF …, 2019 - openaccess.thecvf.com
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 …

[PDF][PDF] A joint sequence translation model with integrated reordering

N Durrani, H Schmid, A Fraser - … of the 49th annual meeting of the …, 2011 - aclanthology.org
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 …

Statistical machine translation enhancements through linguistic levels: A survey

MR Costa-Jussá, M Farrús - ACM Computing Surveys (CSUR), 2014 - dl.acm.org
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 …

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 …

Early-warning prediction of student performance and engagement in open book assessment by reading behavior analysis

B Flanagan, R Majumdar, H Ogata - International Journal of Educational …, 2022 - Springer
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 …

Study and comparison of rule-based and statistical catalan-spanish machine translation systems

MR Costa-Jussà, M Farrús, JB Marino… - Computing and …, 2012 - cai.sk
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 …