Results 61 to 70 of about 3,192,470 (291)
A Systematic Comparison of Data Selection Criteria for SMT Domain Adaptation
Data selection has shown significant improvements in effective use of training data by extracting sentences from large general-domain corpora to adapt statistical machine translation (SMT) systems to in-domain data.
Longyue Wang +4 more
doaj +1 more source
Antonymy In Space And Other Strictly Ordered Domains
Natural language references different types of entities. Some of these entities (e.g. degrees, locations, times) are strictly ordered with respect to one another; others (e.g. individuals, possible worlds) are not.
Jessica Rett
doaj +1 more source
The argument in this paper is that there exist a very large number of well-formed sentences which do not seem natural to a sensitive native speaker; therefore these sentences must violate some restrictions which are not among the criteria for well-formedness. It is important to examine what the further restrictions might be, for at least three reasons:
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Neuroeconomics, Naturalism, and Language [PDF]
Neuroeconomics stays in the center of the ongoing naturalistic turn in economics. It portrays the individual as a complex system of decision making mechanisms and modules. This results into a conceptual tension with the standard economic notion of the unity of the actor that is a systemic property of economic coordination.
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Functional Connectivity Linked to Cognitive Recovery After Minor Stroke
ABSTRACT Objective Patients with minor stroke exhibit slowed processing speed and generalized alterations in functional connectivity involving frontoparietal cortex (FPC). The pattern of connectivity evolves over time. In this study, we examine the relationship of functional connectivity patterns to cognitive performance, to determine ...
Vrishab Commuri +7 more
wiley +1 more source
With the rapid development of machine translation (MT), the MT evaluation becomes very important to timely tell us whether the MT system makes any progress.
Aaron L.-F. Han +4 more
doaj +1 more source
Characterizing Phishing Threats with Natural Language Processing
Spear phishing is a widespread concern in the modern network security landscape, but there are few metrics that measure the extent to which reconnaissance is performed on phishing targets.
Kotson, Michael C., Schulz, Alexia
core +1 more source
Diagnostic Utility of the ATG9A Ratio in AP‐4–Associated Hereditary Spastic Paraplegia
ABSTRACT Adaptor protein complex 4–associated hereditary spastic paraplegia (AP‐4‐HSP), a childhood‐onset neurogenetic disorder and frequent mimic of cerebral palsy, is caused by biallelic variants in the adaptor protein complex 4 (AP‐4) subunit genes (AP4B1 [for SPG47], AP4M1 [for SPG50], AP4E1 [for SPG51], and AP4S1 [for SPG52]).
Habibah A. P. Agianda +12 more
wiley +1 more source
Sentiment Analysis with Machine Learning Methods on Social Media
Social media has become an important part of our everyday life due to the widespread use of the Internet. Of the social media services, Twitter is among the most used ones around the world.
Muhammet Sinan Basarslan, Fatih Kayaalp
doaj +1 more source
Can Natural Language Processing Become Natural Language Coaching? [PDF]
How we teach and learn is undergoing a revolution, due to changes in technology and connectivity. Education may be one of the best application areas for advanced NLP techniques, and NLP researchers have much to contribute to this problem, especially in the areas of learning to write, mastery learning, and peer learning.
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