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Huffman and linear scanning methods with statistical language models.

Augmentative and alternative communication (Baltimore, Md. : 1985)
Current scanning access methods for text generation in AAC devices are limited to relatively few options, most notably row/column variations within a matrix. We present Huffman scanning, a new method for applying statistical language models to binary...

Aber-OWL: a framework for ontology-based data access in biology.

BMC bioinformatics
BACKGROUND: Many ontologies have been developed in biology and these ontologies increasingly contain large volumes of formalized knowledge commonly expressed in the Web Ontology Language (OWL). Computational access to the knowledge contained within t...

Do lemmas speak German? A verb position effect in German structural priming.

Cognitive science
Lexicalized theories of syntax often assume that verb-structure regularities are mediated by lemmas, which abstract over variation in verb tense and aspect. German syntax seems to challenge this assumption, because verb position depends on tense and ...

Frame-by-frame language identification in short utterances using deep neural networks.

Neural networks : the official journal of the International Neural Network Society
This work addresses the use of deep neural networks (DNNs) in automatic language identification (LID) focused on short test utterances. Motivated by their recent success in acoustic modelling for speech recognition, we adapt DNNs to the problem of id...

The Dostoevsky Machine in Georgetown: scientific translation in the Cold War.

Annals of science
Machine Translation (MT) is now ubiquitous in discussions of translation. The roots of this phenomenon - first publicly unveiled in the so-called 'Georgetown-IBM Experiment' on 9 January 1954 - displayed not only the technological utopianism still as...

A Mixed-Methods Evaluation of LLM-Based Chatbots for Menopause.

Studies in health technology and informatics
The integration of Large Language Models (LLMs) into healthcare settings has gained significant attention, particularly for question-answering tasks. Given the high-stakes nature of healthcare, it is essential to ensure that LLM-generated content is ...

Transformer-Based Multilabel NER Using Wikipedia Corpora in Multiple Languages.

Studies in health technology and informatics
The high cost of manual data labeling and privacy concerns result in a considerable dearth of medical annotations in non-English texts. Recent work by Frank and Kramer [1] introduces an unsupervised approach for constructing an ontology-annotated cor...

The linguistic feedback of tourism robots significantly influences visitors' ecotourism behaviors.

Scientific reports
With the extensive application of artificial intelligence technology in the tourism industry, robot-assisted tourism has become a vital strategy for enhancing tourist experiences and promoting sustainable tourism practices. This study aims to explore...

Impact of large language model (ChatGPT) in healthcare: an umbrella review and evidence synthesis.

Journal of biomedical science
BACKGROUND: The emergence of Artificial Intelligence (AI), particularly Chat Generative Pre-Trained Transformer (ChatGPT), a Large Language Model (LLM), in healthcare promises to reshape patient care, clinical decision-making, and medical education. ...

GP or ChatGPT? Ability of large language models (LLMs) to support general practitioners when prescribing antibiotics.

The Journal of antimicrobial chemotherapy
INTRODUCTION: Large language models (LLMs) are becoming ubiquitous and widely implemented. LLMs could also be used for diagnosis and treatment. National antibiotic prescribing guidelines are customized and informed by local laboratory data on antimic...