SASTA: Semi-Automatic Analysis of Spontaneous Language

 
SASTA
 
Semi-Automatic Analysis of Spontaneous
Language
Using established methods TARSP (children 1-
4), STAP (older children), ASTA (aphasia)
Application under development:
Based on 
GrETEL 4
Focuses on 
grammatical
 analysis
 
1
 
SASTA
 
Methods: TARSP, STAP and ASTA
Define language measures
E.g. occurrence of certain word classes,
# nouns, # compound nouns, # diminutives, …
# verbs, # finite verbs, # copulas, …
Constructions
Auxiliary + infinitive, adjective used attributively, …
Inversion, subordinate clauses, coordination, …
Derive scores and compare these to normative
figures
 
2
 
SASTA
 
Results:
Reasonable (full details in full presentation)
Sometimes better than human experts (recall)
H
uman experts better w.r.t. precision
Good enough? (to be investigated)
Relation with CLARIN
Based on CLARIN application GrETEL
Societal impact
May benefit CLARIN (derivative CHAMP-NL)
 
 
3
 
SASTA
 
Deviant language abundantly present
errors, hesitations, false starts, …
Decreases scores for grammatical analysis
Important factor in assessment
Can we detect and analyse deviant lg
automatically?
Small experiment: recall 2 percent point increase
Now integrating
Successor project SASTA+
 
4
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Application development for linguistic analysis using established methods like TARSP, STAP, and ASTA. Focuses on grammatical analysis, comparing results to normative figures. Shows promise in linguistic assessment, with potential societal impact.


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  1. SASTA Semi-Automatic Analysis of Spontaneous Language Using established methods TARSP (children 1- 4), STAP (older children), ASTA (aphasia) Application under development: https://sasta.hum.uu.nl Based on GrETEL 4 Focuses on grammatical analysis 1

  2. SASTA Methods: TARSP, STAP and ASTA Define language measures E.g. occurrence of certain word classes, # nouns, # compound nouns, # diminutives, # verbs, # finite verbs, # copulas, Constructions Auxiliary + infinitive, adjective used attributively, Inversion, subordinate clauses, coordination, Derive scores and compare these to normative figures 2

  3. SASTA Results: Reasonable (full details in full presentation) Sometimes better than human experts (recall) Human experts better w.r.t. precision Good enough? (to be investigated) Relation with CLARIN Based on CLARIN application GrETEL Societal impact May benefit CLARIN (derivative CHAMP-NL) 3

  4. SASTA Deviant language abundantly present errors, hesitations, false starts, Decreases scores for grammatical analysis Important factor in assessment Can we detect and analyse deviant lg automatically? Small experiment: recall 2 percent point increase Now integrating Successor project SASTA+ 4

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