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S0109 · landauer_dumais_1997_lsa · registry identity

Latent Semantic Analysis and word acquisition

Landauer · 1997
study independent4 occurrences across 2 books · load 8

Resolution status: resolved

Latent semantic analysis
Landauer, Dumais · 2008 · Scholarpedia · journal-article

Every occurrence, grouped by book and chapter, with the claim it was linked to support and (where the extraction regenerated one) the underlying warrant.

2006 · The Knowledge Deficit
Landauer's computer modeling which successfully simulates human word-learning rates through probability computation from context.
direct Thomas Landauer's computer model demonstrates that language acquisition can be achieved by gauging probabilities from both the presence and the absence of words in context.
ch 3 · empirical_study · kd:ch3_E22
Warrant (implicit): A computational model that successfully replicates the output of a human cognitive process provides a valid explanation of the internal mechanisms humans use to perform that process.
could fail ifThe 'black box' problem, where multiple different algorithms (some purely mathematical and non-human) can produce the same external results as human cognition.
Finding demonstrating that vocabulary acquisition is accelerated by familiar contexts, supporting domain-based instruction.
direct Word learning is significantly accelerated when it occurs within a familiar context.
ch 4 · empirical_study · kd:ch4_E15
Warrant (implicit): Cognitive processes identified in word-learning studies can be optimized in a classroom setting by aligning the curriculum structure with those cognitive mechanisms.
could fail ifAccelerated word learning in a familiar context may lead to narrow, domain-specific vocabularies that do not generalize to other subjects.
2016 · Why Knowledge Matters
Research proposing Latent Semantic Analysis (LSA) as a computational theory for how humans acquire and represent knowledge from context, though still struggling with the 'unstated context' problem in machine translation.
related The inability of computers to accurately translate language, even after decades of development, serves as a theoretical proof of their limitations in primary education.
ch 2 · empirical_study · wkm:ch2_E_new16
Latent Semantic Analysis theory showing that word learning occurs four times faster in knowledge-rich contexts.
direct Word learning occurs up to four times faster when students are systematically becoming familiar with new knowledge domains compared to isolated word study.
ch 8 · empirical_study · wkm:ch8_E18
Warrant (implicit): Computational models of semantic association can accurately predict the rate of biological brain acquisition of vocabulary in classroom settings.
could fail ifThe LSA model measures lexical co-occurrence patterns in large corpora, which may overestimate actual human retention when students face cognitive load or varying levels of prior interest in a domain.

Raw book:chapter:endnote references collected during endnote backfill.

wkm:2:5wkm:8:16

As they appeared before normalization/consolidation into this source identity.

  • Landauer and Dumais (1997)
  • T. K. Landauer and S. T. Dumais, 'A Solution to Plato’s Problem: The Latent Semantic Analysis Theory of the Acquisition, Induction, and Representation of Knowledge,' Psychological Review 104 (1997): 211–240.
  • not specified in text (referred to as 'recent finding')