CLMBRs · haberchr · Mar 29, 2023 · Mar 29, 2023 · Mar 29, 2023 · Mar 29, 2023
diff --git a/.github/workflows/docs.yml b/.github/workflows/docs.yml
@@ -28,7 +28,7 @@ jobs:
       - run: pip install pdoc
       # ADJUST THIS: build your documentation into docs/.
       # We use a custom build script for pdoc itself, ideally you just run `pdoc -o docs/ ...` here.
-      - run: pdoc src/altk -d google --math -o ./docs
+      - run: pdoc src/ultk -d google --math -o ./docs
 
       - uses: actions/upload-pages-artifact@v1
         with:

diff --git a/.github/workflows/pypi-publish.yml b/.github/workflows/pypi-publish.yml
@@ -8,7 +8,7 @@ jobs:
     runs-on: ubuntu-latest
     environment:
       name: testpypi
-      url: https://test.pypi.org/project/clmbr-altk
+      url: https://test.pypi.org/project/ultk
     permissions:
       id-token: write  # IMPORTANT: this permission is mandatory for trusted publishing
     steps:

diff --git a/.gitignore b/.gitignore
@@ -8,4 +8,10 @@ src/altk.egg-info
 dist/
 *.egg-info/
 .installed.cfg
-*.egg
+*.egg
+build/
+
+*.zip
+
+model/
+build/
diff --git a/README.md b/README.md
@@ -1,10 +1,10 @@
-# The Artificial Language ToolKit (ALTK)
+# The Unnatural Language ToolKit (ULTK)
 
-<img alt="Four examples of many recent results showing that natural languages are optimized for efficient communication." src="https://raw.githubusercontent.com/CLMBRs/altk/main/images/plots.jpeg" width="100%" />
+<img alt="Four examples of many recent results showing that natural languages are optimized for efficient communication." src="https://raw.githubusercontent.com/CLMBRs/ultk/main/images/plots.jpeg" width="100%" />
 
 ## Introduction
 
-ALTK is a software library that aims to support [efficient communication analyses](https://github.com/CLMBRs/altk/blob/main/images/mit-altk.pdf) of natural language. This is a line of research that aims to explain why natural languages have the structure that they do in terms competing pressures to minimize cognitive complexity and maximize communicative accuracy.
+ULTK is a software library that aims to support [efficient communication analyses](https://github.com/CLMBRs/ultk/blob/main/images/mit-altk.pdf) of natural language. This is a line of research that aims to explain why natural languages have the structure that they do in terms competing pressures to minimize cognitive complexity and maximize communicative accuracy.
 
 Key features:
 
@@ -13,45 +13,45 @@ Key features:
 - Language population sampling and optimization w.r.t Pareto fronts
 - Rate-Distortion and Information Bottleneck style analyses
 
-ALTK is a long term project and it is currently in its early stages. It is intended to help lower the barrier to entry for certain research in computational semantics, and to unify methodologies. If you find something confusing, please open an issue. If you have a phenomena of interest in linguistic semantics that you want to run an efficient communication analysis on, please contact the contributors.
+ULTK is a long term project and it is currently in its early stages. It is intended to help lower the barrier to entry for certain research in computational semantics, and to unify methodologies. If you find something confusing, please open an issue. If you have a phenomena of interest in linguistic semantics that you want to run an efficient communication analysis on, please contact the contributors.
 
-Read the [documentation](https://clmbr.shane.st/altk).
+Read the [documentation](https://clmbr.shane.st/ultk).
 
-## Installing ALTK
+## Installing ULTK
 
-First, set up a virtual environment (e.g. via [miniconda](https://docs.conda.io/en/latest/miniconda.html), `conda create -n altk python=3.11`, and `conda activate altk`).
+First, set up a virtual environment (e.g. via [miniconda](https://docs.conda.io/en/latest/miniconda.html), `conda create -n ultk python=3.11`, and `conda activate ultk`).
 
 1. Download or clone this repository and navigate to the root folder.
 
-2. Install ALTK (We recommend doing this inside a virtual environment)
+2. Install ULTK (We recommend doing this inside a virtual environment)
 
     `pip install -e .`
 
 ## Getting started
 
-- Check out the [examples](https://github.com/CLMBRs/altk/tree/main/src/examples), starting with a basic signaling game.  The examples folder also contains a simiple efficient communication analysis of [indefinites](https://github.com/CLMBRs/altk/tree/main/src/examples/indefinites).
+- Check out the [examples](https://github.com/CLMBRs/ultk/tree/main/src/examples), starting with a basic signaling game.  The examples folder also contains a simiple efficient communication analysis of [indefinites](https://github.com/CLMBRs/ultk/tree/main/src/examples/indefinites).
 - To see more scaled up usage examples, visit the codebase for an efficient communication analysis of [modals](https://github.com/nathimel/modals-effcomm) or [sim-max games](https://github.com/nathimel/rdsg).
 - For an introduction to efficient communication research, here is a [survey paper](https://www.annualreviews.org/doi/abs/10.1146/annurev-linguistics-011817-045406) of the field.
 - For an introduction to the RSA framework, see [this online textbook](http://www.problang.org/).
 
 ## Modules
 
-There are two modules. The first is [altk.effcomm](https://clmbr.shane.st/altk/altk/effcomm.html), which includes methods for measuring informativity of languages and/or communicative success of Rational Speech Act agents, and for language population sampling and optimization w.r.t Pareto fronts.
+There are two modules. The first is [ultk.effcomm](https://clmbr.shane.st/ultk/ultk/effcomm.html), which includes methods for measuring informativity of languages and/or communicative success of Rational Speech Act agents, and for language population sampling and optimization w.r.t Pareto fronts.
 
-The second module is [altk.language](https://clmbr.shane.st/altk/altk/language.html), which contains primitives for constructing semantic spaces, expressions, and languages.  It also has a `grammar` module which can be used for building expressions in a Language of Thought and measuring complexity in terms of minimum description length, as well as for natural language syntax.
+The second module is [ultk.language](https://clmbr.shane.st/ultk/ultk/language.html), which contains primitives for constructing semantic spaces, expressions, and languages.  It also has a `grammar` module which can be used for building expressions in a Language of Thought and measuring complexity in terms of minimum description length, as well as for natural language syntax.
 
-The source code is available on github [here](https://github.com/CLMBRs/altk).
+The source code is available on github [here](https://github.com/CLMBRs/ultk).
 
 ## Testing
 
-Unit tests are written in [pytest](https://docs.pytest.org/en/7.3.x/) and executed via running `pytest` in the `src/tests` folder. 
+Unit tests are written in [pytest](https://docs.pytest.org/en/7.3.x/) and executed via running `pytest` in the `src/tests` folder.
 
 ## References
 
 <details>
 <summary>Figures:</summary>
 
-> Kinship Categories Across Languages Reflect General Communicative Principles | Science. (n.d.). Retrieved February 27, 2023, from https://www.science.org/doi/10.1126/science.1218811
+> Kemp, C. & Regier, T. (2012) Kinship Categories Across Languages Reflect General Communicative Principles. Science. https://www.science.org/doi/10.1126/science.1218811
 
 > Zaslavsky, N., Kemp, C., Regier, T., & Tishby, N. (2018). Efficient compression in color naming and its evolution. Proceedings of the National Academy of Sciences, 115(31), 7937–7942. https://doi.org/10.1073/pnas.1800521115
 

diff --git a/docs/altk/effcomm/information.html b/docs/altk/effcomm/information.html
diff --git a/docs/altk/language/semantics.html b/docs/altk/language/semantics.html
diff --git a/docs/index.html b/docs/index.html
@@ -2,6 +2,6 @@
 <html>
 <head>
     <meta charset="utf-8">
-    <meta http-equiv="refresh" content="0; url=./altk.html"/>
+    <meta http-equiv="refresh" content="0; url=./ultk.html"/>
 </head>
 </html>
diff --git a/docs/search.js b/docs/search.js
diff --git a/docs/altk.html → docs/ultk.html b/docs/altk.html → docs/ultk.html
diff --git a/docs/altk/effcomm.html → docs/ultk/effcomm.html b/docs/altk/effcomm.html → docs/ultk/effcomm.html
diff --git a/docs/altk/effcomm/agent.html → docs/ultk/effcomm/agent.html b/docs/altk/effcomm/agent.html → docs/ultk/effcomm/agent.html
diff --git a/docs/altk/effcomm/analysis.html → docs/ultk/effcomm/analysis.html b/docs/altk/effcomm/analysis.html → docs/ultk/effcomm/analysis.html
diff --git a/docs/ultk/effcomm/information.html b/docs/ultk/effcomm/information.html
diff --git a/docs/altk/effcomm/informativity.html → docs/ultk/effcomm/informativity.html b/docs/altk/effcomm/informativity.html → docs/ultk/effcomm/informativity.html
diff --git a/docs/altk/effcomm/optimization.html → docs/ultk/effcomm/optimization.html b/docs/altk/effcomm/optimization.html → docs/ultk/effcomm/optimization.html
diff --git a/docs/ultk/effcomm/sampling.html b/docs/ultk/effcomm/sampling.html
diff --git a/docs/altk/effcomm/tradeoff.html → docs/ultk/effcomm/tradeoff.html b/docs/altk/effcomm/tradeoff.html → docs/ultk/effcomm/tradeoff.html
diff --git a/docs/altk/effcomm/util.html → docs/ultk/effcomm/util.html b/docs/altk/effcomm/util.html → docs/ultk/effcomm/util.html
diff --git a/docs/altk/language.html → docs/ultk/language.html b/docs/altk/language.html → docs/ultk/language.html
diff --git a/docs/ultk/language/grammar.html b/docs/ultk/language/grammar.html
diff --git a/docs/altk/language/language.html → docs/ultk/language/language.html b/docs/altk/language/language.html → docs/ultk/language/language.html
diff --git a/docs/altk/effcomm/sampling.html → docs/ultk/language/sampling.html b/docs/altk/effcomm/sampling.html → docs/ultk/language/sampling.html
diff --git a/docs/ultk/language/semantics.html b/docs/ultk/language/semantics.html
diff --git a/pyproject.toml b/pyproject.toml
@@ -3,13 +3,14 @@ requires = ["setuptools>=42", "wheel"]
 build-backend = "setuptools.build_meta"
 
 [project]
-name = "altk"
-version = "0.0.1"
+name = "ultk"
+version = "0.0.1c"
 authors = [
+  { name="Chris Haberland", email="[email protected]"},
   { name="Nathaniel Imel", email="[email protected]"},
   { name="Shane Steinert-Threlkeld", email="[email protected]" },
 ]
-description = "ALTK is a software library that aims to support efficient communication analyses of natural language. This is a line of research that aims to explain why natural languages have the structure that they do in terms competing pressures to minimize cognitive complexity and maximize communicative accuracy."
+description = "ULTK is a software library that aims to support efficient communication analyses of natural language. This is a line of research that aims to explain why natural languages have the structure that they do in terms competing pressures to minimize cognitive complexity and maximize communicative accuracy."
 readme = "README.md"
 requires-python = ">=3.7"
 classifiers = [
@@ -19,17 +20,19 @@ classifiers = [
 ]
 license = {file = "LICENSE.txt"}
 dependencies = [
+    "mypy",
     "numpy",
     "nltk",
     "pyyaml",
     "pandas",
     "plotnine",
     "pathos",
-    "embo",
     "pytest",
-    "mypy"
+    "mypy",
+    "concepts",
+    "rdot",
 ]
 
 [project.urls]
-"Homepage" = "https://clmbr.shane.st/altk"
-"Bug Tracker" = "https://github.com/CLMBRs/altk/issues"
+"Homepage" = "https://clmbr.shane.st/ultk"
+"Bug Tracker" = "https://github.com/CLMBRs/ultk/issues"
-Original file line number
+Diff line change
@@ Expand Up / @@ -8,4 +8,10 @@ src/altk.egg-info @@
     dist/
     *.egg-info/
     .installed.cfg
-    *.egg
+    *.egg
+    build/
+    *.zip
+    model/
+    build/