How do children learn to interpret a logical word like "or"? Using experimental, observational, and computation methods, this dissertation presents a novel account of how children learn to interpret "or" from the language they hear.
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00-abstract.Rmd
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03-chap3.Rmd
04-chap4.Rmd
05-chap5.Rmd
06-conclusion.Rmd
07-appendix.Rmd
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Jasbi-2018-Learning-Disjunction.pdf
README.md
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index.Rmd
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README.md

Learning Disjunction

Author: Masoud Jasbi

A Dissertation Submitted To The Department of Linguistics and the Committee on Graduate Studies of Stanford University.

Citation: Jasbi, Masoud. (2018). Learning Disjunction (Doctoral Dissertation). Stanford University. Retrieved from https://purl.stanford.edu/qz846xz9663.

Click here for the PDF of the dissertation.

License: Creative Commons Attribution-Noncommercial 3.0 United States.

Abstract:

To understand language, we rely on mental representations of what words mean. What constitutes these representations and how are they learned? To address this question, I investigate how children learn and interpret the disjunction word or. The highly abstract and context-dependent interpretation of or challenges word learning theories and provides an exceptional opportunity to better understand how words are associated with their meanings.

Or has several interpretations, including exclusive and inclusive disjunction. Inclusive disjunction holds when A is true, B is true, or both. For example, a waiter may ask if you would like something to eat or drink, not excluding the possibility that you would like both. Exclusive disjunction is true when only A is true, or only B is true, but not both. If the waiter later asks whether you would like to see the dessert menu or have the check, his or is most likely interpreted as exclusive. He is suggesting that you should choose one or the other. Given these complexities in the interpretation of or, how do children interpret it and how do they learn its interpretations?

I present the results of an experimental study which shows that children between the ages of three and five can interpret or as inclusive disjunction in positive declarative sentences, confirming previous findings. I also present the results of a study on parents' speech to children that shows that the exclusive interpretation is much more common in the examples children hear, again supporting previous results. These two findings fall into a current puzzle in the literature: How can children learn the inclusive interpretation of or if they rarely hear it?

I argue that this puzzle arises in models of word learning which directly map words to their meanings, thereby ignoring accompanying linguistic and conceptual cues. I present an in-depth annotation study demonstrating that exclusive interpretations correlate with interpretive cues in children's input, such as intonation and the meaning of other words or combines with. Applying supervised learning techniques to the annotated data, I find that a learner who makes use of these interpretive cues can learn the inclusive as well as exclusive interpretation of disjunction from the language heard. These findings indicate that the representation of a word like or cannot be isolated from the linguistic and conceptual environment in which it appears. The linguistic and conceptual aspects of or's environment can act as cues that aid its acquisition and interpretation. Together, these studies show that learning a function word requires richer lexical representations than currently assumed by our theories of word learning.

Structure of the Repository

There are three main folders in this repository that contain the data and code used in three chapters:

The folder bib contains the bibTex file that has all the references used in the dissertation. The folder figs contains the figures in the dissertation.

The different .Rmd files contain different chapters and sections of the dissertation such as the abstract or the references. The main file to Knit is the index.Rmd. When you knit it, it puts together all the other Rmd files together.

Reproducibility

To reproduce this project, please follow these steps:

  1. Make sure you have the R programming language and R Studio installed. You can find the versions I used in the "Session Info" section below.

  2. Make sure the R packages listed in the "R packages" section below are installed.

  3. Make sure you have an updated verison of LaTeX. You can install TeX by visiting the LaTeX Project website.

  4. Clone/download the repo here by clicking on the green button "Clone or download" on the right top of this page.

  5. Open the main Rmarkdown file "index.Rmd" and press Knit.

When the Rmd file renders with no error, you will see a folder created as "_book/". Inside the folder you will find the dissertation pdf file as "thesis.pdf". If you see any errors/problems while reproducing this work or if you have any questions please do not hesitate to contact me. My email is available on my website: masoudjasbi.com

Session Info

setting value
version R version 3.4.3 (2017-11-30)
os macOS Sierra 10.12.6
system x86_64, darwin15.6.0
ui RStudio
language (EN)
collate en_US.UTF-8
tz America/New_York
date 2018-09-18

R Packages

Package Version Date
abind 1.4-5 2016-07-21
assertthat 0.2.0 2017-04-11
backports 1.1.2 2017-12-13
base64enc 0.1-3 2015-07-28
bayesplot 1.6.0 2018-08-02
bindr 0.1.1 2018-03-13
bindrcpp 0.2.2 2018-03-29
binom 1.1-1 2014-01-02
boot 1.3-20 2017-08-06
bootstrap 2017.2 2017-02-27
bridgesampling 0.5-2 2018-08-19
brms 2.5.0 2018-09-16
Brobdingnag 1.2-6 2018-08-13
broom 0.5.0 2018-07-17
cellranger 1.1.0 2016-07-27
childesr 0.1.0 2017-11-09
cli 1.0.0 2017-11-05
clisymbols 1.2.0 2017-05-21
coda 0.19-1 2016-12-08
colorspace 1.3-2 2016-12-14
colourpicker 1.0 2017-09-27
crayon 1.3.4 2017-09-16
crosstalk 1.0.0 2016-12-21
DescTools 0.99.25 2018-08-14
digest 0.6.17 2018-09-12
dplyr 0.7.6 2018-06-29
DT 0.4 2018-01-30
dygraphs 1.1.1.6 2018-07-11
evaluate 0.11 2018-07-17
expm 0.999-2 2017-03-29
feather 0.3.1 2016-11-09
forcats 0.3.0 2018-02-19
foreign 0.8-71 2018-07-20
ggplot2 3.0.0 2018-07-03
ggridges 0.5.0 2018-04-05
ggthemes 4.0.1 2018-08-24
glue 1.3.0 2018-07-17
gridExtra 2.3 2017-09-09
gtable 0.2.0 2016-02-26
gtools 3.8.1 2018-06-26
haven 1.1.2 2018-06-27
hms 0.4.2 2018-03-10
htmltools 0.3.6 2017-04-28
htmlwidgets 1.2 2018-04-19
httpuv 1.4.5 2018-07-19
httr 1.3.1 2017-08-20
igraph 1.2.2 2018-07-27
inline 0.3.15 2018-05-18
irr 0.84 2012-07-16
jpeg 0.1-8 2014-01-23
jsonlite 1.5 2017-06-01
kableExtra 0.9.0 2018-05-21
knitr 1.20 2018-02-20
later 0.7.4 2018-08-31
lattice 0.20-35 2017-03-25
lazyeval 0.2.1 2017-10-29
lme4 1.1-18-1 2018-08-17
lmerTest 3.0-1 2018-04-23
loo 2.0.0 2018-04-11
lpSolve 5.6.13 2015-09-19
lubridate 1.7.4 2018-04-11
magrittr 1.5 2014-11-22
manipulate 1.0.1 2014-12-24
markdown 0.8 2017-04-20
MASS 7.3-50 2018-04-30
Matrix 1.2-14 2018-04-09
matrixStats 0.54.0 2018-07-23
mime 0.5 2016-07-07
miniUI 0.1.1.1 2018-05-18
minqa 1.2.4 2014-10-09
modelr 0.1.2 2018-05-11
munsell 0.5.0 2018-06-12
mvtnorm 1.0-8 2018-05-31
nlme 3.1-137 2018-04-07
nloptr 1.0.4 2014-08-04
numDeriv 2016.8-1 2016-08-27
pillar 1.3.0 2018-07-14
pkgconfig 2.0.2 2018-08-16
plyr 1.8.4 2016-06-08
png 0.1-7 2013-12-03
promises 1.0.1 2018-04-13
purrr 0.2.5 2018-05-29
R6 2.2.2 2017-06-17
Rcpp 0.12.18 2018-07-23
readr 1.1.1 2017-05-16
readxl 1.1.0 2018-04-20
reshape2 1.4.3 2017-12-11
rlang 0.2.2 2018-08-16
rmarkdown 1.10 2018-06-11
rprojroot 1.3-2 2018-01-03
rsconnect 0.8.8 2018-03-09
rstan 2.17.3 2018-01-20
rstantools 1.5.1 2018-08-22
rstudioapi 0.7 2017-09-07
rvest 0.3.2 2016-06-17
scales 1.0.0 2018-08-09
shiny 1.1.0 2018-05-17
shinyjs 1.0 2018-01-08
shinystan 2.5.0 2018-05-01
shinythemes 1.1.1 2016-10-12
StanHeaders 2.17.2 2018-01-20
stringi 1.2.4 2018-07-20
stringr 1.3.1 2018-05-10
threejs 0.3.1 2017-08-13
tibble 1.4.2 2018-01-22
tidyboot 0.1.1 2018-03-14
tidyr 0.8.1 2018-05-18
tidyselect 0.2.4 2018-02-26
tidyverse 1.2.1 2017-11-14
viridisLite 0.3.0 2018-02-01
withr 2.1.2 2018-03-15
xml2 1.2.0 2018-01-24
xtable 1.8-3 2018-08-29
xts 0.11-1 2018-09-12
yaml 2.2.0 2018-07-25
zoo 1.8-3 2018-07-16