I saw this somewhere else: The Spanish Ambiguous Words (SAW) database

Fraga, Isabel; Padrón, Isabel; Perea, Manuel; Comesaña, Montserrat

doi:10.1016/j.lingua.2016.07.002

Cited by 9 publications

(4 citation statements)

References 33 publications

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“…Hereafter, we will refer to this polysemy as WordNet polysemy. We assume that the polysemy measure provided by WordNet does not distinguish between different types of polysemy and we are aware of the inherent difficulties of borrowing this conceptual framework (see [20,21,22,23]). Concerning word length, we consider three different units of measurement: a graphical unit (number of characters) and two phonetic units (number of phonemes and number of syllables).…”

Section: Introductionmentioning

confidence: 99%

Polysemy and brevity versus frequency in language

Fernández

Hernández-Fernández

Català

et al. 2019

Computer Speech & Language

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The pioneering research of G. K. Zipf on the relationship between word frequency and other word features led to the formulation of various linguistic laws. The most popular is Zipf's law for word frequencies. Here we focus on two laws that have been studied less intensively: the meaning-frequency law, i.e. the tendency of more frequent words to be more polysemous, and the law of abbreviation, i.e. the tendency of more frequent words to be shorter. In a previous work, we tested the robustness of these Zipfian laws for English, roughly measuring word length in number of characters and distinguishing adult from child speech. In the present article, we extend our study to other languages (Dutch and Spanish) and introduce two additional measures of length: syllabic length and phonemic length. Our correlation analysis indicates that both the meaning-frequency law and the law of abbreviation hold overall in all the analyzed languages.

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Section: Introductionmentioning

confidence: 99%

Polysemy and brevity versus frequency in language

Fernández

Hernández-Fernández

Català

et al. 2019

Computer Speech & Language

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“…Third, we also selected the pictures most appropriate for the geographic context of these norms, thus, for the countries and flags, we selected the items that corresponded to Spain. Fourth, in the cases of pictures that were associated with ambiguous words (i.e., words with more than one meaning or sense; for example, in Spanish, banco means bank but also bench), we selected the most frequent meaning based on the databases for ambiguous words from Fraga et al (2017) and Gómez-Veiga et al (2010). Out of the 28 words identified as ambiguous, two showed a tie in the frequency of production of their different senses or meanings, and 15 did not appear in either of these norms.…”

Section: Methodsmentioning

confidence: 99%

Norms for a Pictographic System: The Aragonese Portal of Augmentative/Alternative Communication (ARASAAC) System

Paolieri

Marful

2018

Front. Psychol.

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Different systems are used to facilitate communication for people with speech problems. Among these, pictographic systems offer an extraordinary solution for many people with severe communication disorders; for example, people with autism spectrum disorders, aphasia, cognitive impairment, cerebral palsy, etc. The pictographic system called Aragonese Portal of Augmentative and Alternative Communication (ARASAAC http://arasaac.org), freely distributed under the Creative Commons License (BY-NC-SA), is an important reference in many countries. Although these images are widely used, there are no previous studies on their reliability and validity. In order to obtain a useful tool in the clinical context, scores of name agreement, H index, tip-of-the-tongue responses, conceptual familiarity, image agreement, visual complexity, and response times were collected for the 295 most frequent images in the ARASAAC dataset. The psychometric analyses showed adequate validity and reliability values. The regression analysis indicated that naming times were explained by picture-name agreement, age of acquisition, and conceptual familiarity, while the tip-of-the-tongue states were mainly predicted by picture-name agreement and name agreement. In conclusion, these norms from the ARASAAC dataset offer a valuable tool for clinical intervention as well as for psycholinguistic research.

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“…Hence, despite having two different meanings linguistically, the word despecho can be said to have only the psychological meaning of the negative affective state. For further discussion of the pros and cons of the dictionary and subjective approaches, see Fraga, Padrón, Perea, and Comesaña (2017), Haro and Ferré (2018), and Haro et al (2017). 2.…”

Section: Limitations and Conclusionmentioning

confidence: 99%

HEROÍNA: Drug or hero? Meaning-dependent valence norms for ambiguous Spanish words

Huete‐Pérez

Haro

Fraga

et al. 2019

Applied Psycholinguistics

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Semantically ambiguous and emotional words occur frequently in language, and the different meanings of ambiguous words can sometimes have different emotional loads. For example, the Spanish word heroína (heroin/heroine) can refer to a drug or to a woman who performs a heroic act. Because both ambiguity and emotionality affect word processing, there is a need for normative databases that include data on the emotionality of the different meanings of such words. Thus far, no bases of this type are available in Spanish. With this in mind, the current study will present meaning-dependent affective (valence) ratings for 252 Spanish ambiguous words. The analyses performed show that (a) among ambiguous words, those words with meanings that have distinct affective valence are quite frequent, (b) ambiguous words rated as neutral in isolation can have meanings of opposite valence (i.e., negative-positive or positive-negative), and (c) the valence estimated for ambiguous words in isolation is better explained by the weighted average of the valence of their meanings by dominance. A database of this kind can be useful both for basic research (e.g., relationship between emotion and language and ambiguity processing) and for applied research (e.g., cognitive and emotional biases in emotional disorders and second language learning).

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I saw this somewhere else: The Spanish Ambiguous Words (SAW) database

Cited by 9 publications

References 33 publications

Polysemy and brevity versus frequency in language

Polysemy and brevity versus frequency in language

Norms for a Pictographic System: The Aragonese Portal of Augmentative/Alternative Communication (ARASAAC) System

HEROÍNA: Drug or hero? Meaning-dependent valence norms for ambiguous Spanish words

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