Results 261 to 270 of about 3,070,369 (321)

Deciphering the Language of Assessment in Pharmacology Summative Written Assessments. [PDF]

Pharmacol Res Perspect
Kelly-Laubscher R, Flaherty CC, Herzel L, Barry ÓP.   +3 more
europepmc   +1 more source

How we should measure orthographic depth: Or should we? [PDF]

Psychon Bull Rev
Schmalz X, Rueckl JG, Siegelman N.
europepmc   +1 more source

Network analysis of the growth process of novice psychological counselors. [PDF]

Sci Rep
Wu Z, Ding H, Tang X.
europepmc   +1 more source

The Effects of Trait Anxiety and Emotional Word Type on the Processing of Chinese Words: An ERP Study. [PDF]

Behav Sci (Basel)
Liu J, Fan L.
europepmc   +1 more source

The Effect of Forgetting Strategies on Memory Performance: Behavioral and Electroencephalography Evidence. [PDF]

Brain Sci
Pan C, Li F.
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Assessing the Impact of the Quality of Textual Data on Feature Representation and Machine Learning Models: Quantitative Study Using Large Language Models.

J Med Internet Res
Sarwar T, Yepes AJJ, Cavedon L.
europepmc   +1 more source

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Finding translations for low-frequency words in comparable corpora

Machine Translation, 2006
Statistical methods to extract translational equivalents from non-parallel corpora hold the promise of ensuring the required coverage and domain customisation of lexicons as well as accelerating their compilation and maintenance. A challenge for these methods are rare, less common words and expressions, which often have low corpus frequencies. However,
Viktor Pekar, Ruslan Mitkov, Dimitar Blagoev, Andrea Mulloni   +3 more
openaire   +2 more sources

Low Frequency Words Compression in Neural Conversation System

International Conference on Neural Information Processing, 2017
Recently, Encoder-Decoder, a framework for sequence-to-sequence (seq2seq) tasks has been widely used in the open domain generation-based conversation system. One of the most difficult challenges in Encoder-Decoder based open domain conversation systems is the Unknown Words Issue, that is, numerous words become out-of-vocabulary words (OOVs) due to the ...
Sixing Wu, Ying Li, Zhonghai Wu
openaire   +2 more sources