serbian: Serbian case inflected nouns.

In ndl: Naive Discriminative Learning

Description

3240 case-inflected Serbian nouns and their frequencies, for 270 different masculine, feminine and neuter noun lemmas.

Usage

data(serbian)

Format

A data frame with 3240 observations on the following 3 variables:

WordForm

A character vector specifying the inflected word forms.

LemmaCase

A character vector specifying lemma (meaning), case, and number.

Frequency

A numeric vector specifying the frequency of each word form.

Details

Frequencies were taken from the Frequency Dictionary of Contemporary Serbian Language (Kostic, 1999). The 270 lemmas comprise the set of nouns for which each different case form appears at least once in this resource.

Source

Kostic, D. (1999). Frekvencijski recnik savremenog srpskog jezika (Frequency Dictionary of Contemporary Serbian Language). Institute for Experimental Phonetics and Speech Pathology & Laboratory of Experimental Psychology, University of Belgrade, Serbia.

References

Kostic, D. (1999). Frekvencijski recnik savremenog srpskog jezika (Frequency Dictionary of Contemporary Serbian Language). Institute for Experimental Phonetics and Speech Pathology & Laboratory of Experimental Psychology, University of Belgrade, Serbia.

Baayen, R. H., Milin, P., Filipovic Durdevic, D., Hendrix, P. and Marelli, M. (2011), An amorphous model for morphological processing in visual comprehension based on naive discriminative learning. Psychological Review, 118, 438-482.

See Also

See also serbianLex, estimateActivations.

Examples

data(serbian)
serbian$Cues <- orthoCoding(serbian$WordForm, grams=2)
serbian$Outcomes <- serbian$LemmaCase
sw <- estimateWeights(cuesOutcomes=serbian)
sw[1:5,1:5]
desiredItems <- unique(serbian["Cues"])
desiredItems$Outcomes=""
activations <- estimateActivations(desiredItems, sw)$activationMatrix
rownames(activations) <- unique(serbian[["WordForm"]])
activations[1:5,1:6]

Example output

This is ndl version 0.2.17. 
For an overview of the package, type 'help("ndl.package")'.
            Pl        Sg         acc    akademija       aparat
#a -0.46771403 0.9524415  0.32603538  0.471536362  0.506613928
#b -0.06995487 0.5560067  0.09538535 -0.005610968 -0.012984927
#c -0.09943880 0.5857756  0.11012973  0.002622353 -0.021385767
#d -0.01799398 0.5009616  0.07762717 -0.014583561 -0.004215323
#e -0.46534144 0.9259969 -0.09324546  0.038236229 -0.056174532
             Pl        Sg         acc    akademija       aparat         bitka
yena  0.4617711 0.5382289  0.02608101  0.002987077 -0.002987077  0.0008500184
yene  0.6169503 0.3830497  0.32249036  0.002506345 -0.002506345  0.0021272669
yeni  0.4396889 0.5603111 -0.02661689  0.001302431 -0.001302431  0.0047838155
yenu  0.1264524 0.8735476  0.58251851  0.001291571 -0.001291571 -0.0014220099
yenom 0.1322911 0.8677089  0.05180605 -0.006909587  0.006909587  0.0071698160

ndl documentation built on May 2, 2019, 10:28 a.m.