A systematic review of the existing literature for the evaluation of sustainable urban projects
From the 21st century to the present (2021), a worldwide awareness that cities' development
must be based on projects for socio-economic growth and environmental protection is …
must be based on projects for socio-economic growth and environmental protection is …
Holmes: Effective statistical debugging via efficient path profiling
Statistical debugging aims to automate the process of isolating bugs by profiling several
runs of the program and using statistical analysis to pinpoint the likely causes of failure. In …
runs of the program and using statistical analysis to pinpoint the likely causes of failure. In …
Towards resilient and smart cities: A real-time urban analytical and geo-visual system for social media streaming data
Cities worldwide are vulnerable to unpredictable extreme events such as disasters and
public health crises. Urban big data and data-driven technologies have played an …
public health crises. Urban big data and data-driven technologies have played an …
Dependency-to-dependency neural machine translation
Recent research has proven that syntactic knowledge is effective to improve the
performance of neural machine translation (NMT). Most previous work focuses on …
performance of neural machine translation (NMT). Most previous work focuses on …
Neural machine translation with dynamic graph convolutional decoder
Existing wisdom demonstrates the significance of syntactic knowledge for the improvement
of neural machine translation models. However, most previous works merely focus on …
of neural machine translation models. However, most previous works merely focus on …
Back to Patterns: Efficient Japanese Morphological Analysis with Feature-Sequence Trie
N Yoshinaga - arXiv preprint arXiv:2305.19045, 2023 - arxiv.org
Accurate neural models are much less efficient than non-neural models and are useless for
processing billions of social media posts or handling user queries in real time with a limited …
processing billions of social media posts or handling user queries in real time with a limited …
Chunk-based decoder for neural machine translation
Chunks (or phrases) once played a pivotal role in machine translation. By using a chunk
rather than a word as the basic translation unit, local (intra-chunk) and global (inter-chunk) …
rather than a word as the basic translation unit, local (intra-chunk) and global (inter-chunk) …
Compressed double-array tries for string dictionaries supporting fast lookup
S Kanda, K Morita, M Fuketa - Knowledge and Information Systems, 2017 - Springer
A string dictionary is a basic tool for storing a set of strings in many kinds of applications.
Recently, many applications need space-efficient dictionaries to handle very large datasets …
Recently, many applications need space-efficient dictionaries to handle very large datasets …
Engineering faster double‐array Aho–Corasick automata
S Kanda, K Akabe, Y Oda - Software: Practice and Experience, 2023 - Wiley Online Library
Multiple pattern matching in strings is a fundamental problem in text processing applications
such as regular expressions or tokenization. This article studies efficient implementations of …
such as regular expressions or tokenization. This article studies efficient implementations of …
A Novel Neural Ensemble Architecture for On-the-fly Classification of Evolving Text Streams
We study on-the-fly classification of evolving text streams in which the relation between the
input data and target labels changes over time—ie,“concept drift.” These variations decrease …
input data and target labels changes over time—ie,“concept drift.” These variations decrease …