AI Medical Compendium Topic:
Language

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Perspectives on Speech Timing: Coupled Oscillator Modeling of Polish and Finnish.

Phonetica
This stud y was ai med at analyzing empirical duration data for Polish spoken at different tempos using an updated version of the Coupled Oscillator Model of speech timing and rhythm variability (O'Dell and Nieminen, 1999, 2009). We use Bayesian infe...

Treating conduct disorder: An effectiveness and natural language analysis study of a new family-centred intervention program.

Psychiatry research
This paper reports on a new family-centred, feedback-informed intervention focused on evaluating therapeutic outcomes and language changes across treatment for conduct disorder (CD). The study included 26 youth and families from a larger randomised, ...

Evaluating semantic similarity between Chinese biomedical terms through multiple ontologies with score normalization: An initial study.

Journal of biomedical informatics
BACKGROUND: Semantic similarity estimation significantly promotes the understanding of natural language resources and supports medical decision making. Previous studies have investigated semantic similarity and relatedness estimation between biomedic...

Extractive text summarization system to aid data extraction from full text in systematic review development.

Journal of biomedical informatics
OBJECTIVES: Extracting data from publication reports is a standard process in systematic review (SR) development. However, the data extraction process still relies too much on manual effort which is slow, costly, and subject to human error. In this s...

Improving Feature Representation Based on a Neural Network for Author Profiling in Social Media Texts.

Computational intelligence and neuroscience
We introduce a lexical resource for preprocessing social media data. We show that a neural network-based feature representation is enhanced by using this resource. We conducted experiments on the PAN 2015 and PAN 2016 author profiling corpora and obt...

Why Are There Developmental Stages in Language Learning? A Developmental Robotics Model of Language Development.

Cognitive science
Most theories of learning would predict a gradual acquisition and refinement of skills as learning progresses, and while some highlight exponential growth, this fails to explain why natural cognitive development typically progresses in stages. Models...

Gaining insights from social media language: Methodologies and challenges.

Psychological methods
Language data available through social media provide opportunities to study people at an unprecedented scale. However, little guidance is available to psychologists who want to enter this area of research. Drawing on tools and techniques developed in...

A Character Level Based and Word Level Based Approach for Chinese-Vietnamese Machine Translation.

Computational intelligence and neuroscience
Chinese and Vietnamese have the same isolated language; that is, the words are not delimited by spaces. In machine translation, word segmentation is often done first when translating from Chinese or Vietnamese into different languages (typically Engl...

Identifying thematic roles from neural representations measured by functional magnetic resonance imaging.

Cognitive neuropsychology
The generativity and complexity of human thought stem in large part from the ability to represent relations among concepts and form propositions. The current study reveals how a given object such as rabbit is neurally encoded differently and identifi...

Optimizing annotation resources for natural language de-identification via a game theoretic framework.

Journal of biomedical informatics
OBJECTIVE: Electronic medical records (EMRs) are increasingly repurposed for activities beyond clinical care, such as to support translational research and public policy analysis. To mitigate privacy risks, healthcare organizations (HCOs) aim to remo...