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Suite of Automatic Linguistic Analysis Tools (SALAT)

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Evidence · 1 claim (1 for) · 1 study (1 design), q2 · 0 of 1 report an effect size · 1 claim rests on one study

Description

SALAT is a researcher-developed software suite comprising GAMET, SEANCE, TAACO, TAALED, TAALES, and TAASSC for extracting linguistic and textual features from learner writing for analysis and scoring.

Components

  • SALAT NLP tool suite extracting 1592 writing features for rubric scoring models: The study processed 1567 essays with the Suite of Automatic Linguistic Analysis Tools (SALAT) — GAMET, SEANCE, TAACO, TAALED, TAALES, and TAASSC — yielding "a total of 1592 writing features" covering grammar/mechanics errors, sentiment and cognition, text cohesion, lexical diversity, lexical sophistication, and syntactic complexity. After filter methods (variance pruning, correlation pruning at |r| > 0.9, removal of word/token counts) features were reduced to 397, with Lasso/Ridge (ElasticNet) regularization performing customized per-rubric selection during training. (Kumar et al. (2020))

Claims

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Key Sources

  • Kumar, V. S., & Boulanger, D. (2020). Automated Essay Scoring and the Deep Learning Black Box: How Are Rubric Scores Determined? International Journal of Artificial Intelligence in Education. https://doi.org/10.1007/s40593-020-00211-5
Page metadata
Field Value
type product
id suite-of-automatic-linguistic-analysis-tools-salat
title Suite of Automatic Linguistic Analysis Tools (SALAT)
description SALAT is a researcher-developed software suite comprising GAMET, SEANCE, TAACO, TAALED, TAALES, and TAASSC for extracting linguistic and textual features from learner writing for analysis and scoring.
status review
product_kind software
generated by process:settle-candidates on 2026-10-28
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