Results 191 to 200 of about 12,026,271 (243)

Tourism image perception of living historical and cultural neighborhoods under the HSSPR framework: A comparative study of three cases in Yunnan, China. [PDF]

PLoS One
Tao N, Yu Z, Sun Q, Yang J, Zhuang X, Duan W.   +5 more
europepmc   +1 more source

Analysis of the minutes of rondas campesinas using text mining techniques. [PDF]

Front Sociol
Quiñones Huatangari L, Díaz Cabrera R, Alvarado Carrasco N, Fernández Rosillo F, Maicelo Guevara JL, Cruz Caro O, Salazar Serván S.   +6 more
europepmc   +1 more source

"<i>Libre de Gluten</i>" or "Gluten-Free"? The Influence of Loanwords on Conceptual Representation. [PDF]

Foods
Acero-Ortega CA, Pintor-Jardines A, Lazo O, Méndez I, Remes-Troche JM, García-Barrón SE.   +5 more
europepmc   +1 more source

I'm trying to read here! How does irrelevant speech affect how you read? [PDF]

Cogn Process
Zhang H, Miller KF.
europepmc   +1 more source

The ND250 indexes a visual-orthographic familiarity effect in visual word recognition: evidence from Chinese components. [PDF]

Front Psychol
Huang Z, Hao J, Han J, Gu F.
europepmc   +1 more source

Sex Differences in Experiencing and Reporting Low Back Pain Using Standardised Questionnaires: A Cross-Sectional Study. [PDF]

Musculoskeletal Care
Santos Ferreira FS, Colmenarez Espinoza AN, Neves Dos Santos AC, da Silva Santos V, Herzer MF, Aline de Oliveira Ribeiro J, da Silva Leonardo I, Brandt de Macedo AC.   +7 more
europepmc   +1 more source

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Similarity Computation of Low-frequency Chinese Words

2009 Sixth International Conference on Fuzzy Systems and Knowledge Discovery, 2009
This paper proposes a novel method on Chinese low-frequency word similarity computation. It adopts a combinational strategy to compute word similarity, which exploits dictionary Hownet and constructed corpus retrieved from Internet. It has 3 steps: (1) If both of two words exist in Hownet, the similarity between them is computed based on Hownet. (2) If
Xinghua Fan, Ji Chen
openaire   +2 more sources

Improving Word Embeddings for Low Frequency Words by Pseudo Contexts

2017
This paper investigates relations between word semantic density and word frequency. A distributed representations based word average similarity is defined as the measure of word semantic density. We find that the average similarities of low frequency words are always bigger than that of high frequency words, when the frequency approaches to 400 around,
Fang Li, Xiaojie Wang 0006
openaire   +1 more source