ANALYZE: Determine sentence constituents

Description Usage Arguments Details Value Author(s) References See Also Examples

Description

Decomposes an utterance into its constituents and their parts (e.g. verb and/or noun markers). All possible analyses are tried, the best is selected.

Usage

1
ANALYZE(hearerID, utterance, situation)

Arguments

hearerID

Pointer to hearer agent in the population

utterance

The utterance to be analyzed.

situation

The situation in which the utterance is uttered.

Details

Situation argument is necessary to determine which referential expressions have most likely been used. Suffix could be incorporated noun (l. 51-70), the rest could be a verb, a noun, a verb adposition, or noun adposition (l. 71-102) Nouns can have single suffix only (change once number is implemented; l. 92) Default interpretation is noun (cf. Heine & Kuteva) Analysis starts with identifying verb If verb can not be found by lexeme match, verb suffixes are used, if still unclear plausibility of alternative analysis is checked. Combinations of nouns with local person markers are penalized (to be removed if possessive marking is modelled), just like combinations of nouns with multiple markers (to be removed if case stacking is allowed)

Value

A data frame with the identified constituents and their analyses as entries.

Author(s)

Sander Lestrade

References

Heine, Bernd & Tania Kuteva (2007), The genesis of grammar. A reconstruction. Oxford: Oxford University Press.

See Also

INTERPRET

Examples

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FOUND()
situation=SITUATION(1)
proposition=PROPOSITION(1, situation)
(utterance=PRODUCE(1, proposition))
ANALYZE(2, utterance, situation)

Example output

[1] "tymekoky lalyjipi fesehebi"
  word     form option     stem role verbID     verb verbType  verbMatch
1    1 tymekoky      1 tymekoky    ?     33 towebety twoPlace 0.03571429
2    2 lalyjipi      1 lalyjipi    ?     18 lameguda twoPlace 0.03571429
3    3 fesehebi      1 fesehebi verb     85 fesehebi twoPlace 1.00000000
  actionMatch    verbScore nounID       noun nounPerson  nounMatch objectMatch
1   0.9222222 0.0009149030     40   tymekoky          3 1.00000000   1.0000000
2   0.9277778 0.0009204145    356   lalyjipi          3 1.00000000   1.0000000
3   1.0000000 1.0000000000    368 fybebekoso          3 0.03571429   0.7777778
   nounScore nounMarkerID nounMarker nounMarkerPerson nounMarkerMatch
1 1.00000000           40   tymekoky                3      1.00000000
2 1.00000000          356   lalyjipi                3      1.00000000
3 0.02777778          368 fybebekoso                3      0.03571429
  verbMarkerID verbMarker verbMarkerPerson verbMarkerMatch topic
1           40   tymekoky                3      1.00000000     0
2          356   lalyjipi                3      1.00000000     0
3          368 fybebekoso                3      0.03571429     0

MoLE documentation built on May 2, 2019, 3:02 p.m.