Results 71 to 80 of about 1,323,874 (288)
Word-Context Character Embeddings for Chinese Word Segmentation [PDF]
Proceedings of the 2017 Conference on Empirical Methods in Natural
Language Processing, 2017 Neural parsers have benefited from automatically labeled data via dependency-context word embeddings. We investigate training character embeddings on a word-based context in a similar way, showing that the simple method improves state-of-the-art neural word segmentation models significantly, beating tri-training baselines for leveraging auto-segmented ...
Hao Zhou 0012 +5 more
openaire +1 more source
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective Building on our prior Behavioral Risk Factor Surveillance System analysis identifying adults aged 18–39 as the primary driver of the national increase in self‐reported cognitive disability, we examined factors associated with this rise using 2013–2024 U.S. BRFSS data. Methods We analyzed U.S.
Adam de Havenon +9 more
wiley +1 more source
Acoustic-phonetic cues to word boundary location: Evidence from word spotting. [PDF]
, 1999 This research examined acoustic-phonetic cues to word boundary location in French consonant clusters, and assessed their use in on-line lexical segmentation.
Dumay, Nicolas +4 more
core
Annals of Clinical and Translational Neurology, EarlyView.ABSTRACT Objective The aim of this study was to characterize intellectual and motor function, neurological features including epilepsy, treatment response, and adaptive behavior in patients with pyruvate dehydrogenase complex deficiency (PDCD) in Sweden.
Antri Savvidou +6 more
wiley +1 more source
The role of syllable structure in lexical segmentation: Helping listeners avoid mondegreens. [PDF]
, 2000 One challenge for theories of word recognition is to determine how the listener recovers the intended lexical segmentation in continuous speech.
Dumay, Nicolas +4 more
core
Arthritis Care &Research, EarlyView.Objective To explore whether higher body fat and lower lean mass are associated with greater pain and worse patient‐reported physical function in individuals with hip osteoarthritis (OA). A secondary aim was to examine whether pain and patient‐reported physical function differ according to four body composition profiles: high body fat, low lean mass ...
Alexandra Ryan +10 more
wiley +1 more source
Modeling Human Performance on Statistical Word Segmentation Tasks [PDF]
, 2007 What mechanisms support the ability of human infants, adults, and other primates to identify words from fluent speech using distributional regularities? In order to better characterize this ability, we collected data from adults in an artificial language
Griffiths, Thomas L. +4 more
core
The Role of Morphosyntactic Awareness in Conventional Lexical Segmentation
Paidéia (Ribeirão Preto), 2013 Starting with the alphabetic stage of writing acquisition, the learner struggles with issues related to spelling, including the segmentation of writing in graphic words.
Sandra Regina Kirchner Guimaraes
doaj +1 more source
Word segmentation granularity in Korean
Korean LinguisticsAbstract This paper describes word segmentation granularity in Korean language processing. From a word separated by blank space, which is termed an eojeol, to a sequence of morphemes in Korean, there are multiple possible levels of word segmentation granularity in Korean.
Jungyeul Park, Mija Kim
openaire +2 more sources
Arthritis Care &Research, EarlyView.Objective To evaluate utility of an artificial intelligence (AI) health coach for systemic sclerosis (SSc) self‐management and identify patterns associated with participant engagement. Methods We conducted a mixed methods study in which an AI health coach, powered by a large language model (LLM), was used to support self‐management for SSc.
Nirali Shah +4 more
wiley +1 more source