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"Title": "Find Related Items and Lexical Dimensions in a Lexicon",
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"Date": "2024-6-15",
"Authors@R": "c(person(given = \"ZhaoBin\",\nfamily = \"Li\",\nrole = c(\"aut\", \"cre\"),\nemail = \"li_zhaobin@icloud.com\"),\nperson(given = \"Anne Marie\",\nfamily = \"Crinnion\",\nrole = c(\"aut\"),\nemail = \"anne.crinnion@uconn.edu\"),\nperson(given = \"James S.\",\nfamily = \"Magnuson\",\nrole = c(\"aut\", \"cph\"),\nemail = \"james.magnuson@uconn.edu\"))",
"Description": "Implements code to identify lexical competitors in a given\nlist of words. We include many of the standard competitor types\nused in spoken word recognition research, such as functions to\nfind cohorts, neighbors, and rhymes, amongst many others. The\npackage includes documentation for using a variety of lexicon\nfiles, including those with form codes made up of multiple\nletters (i.e., phoneme codes) and also basic orthographies.\nImportantly, the code makes use of multiple CPU cores and\nvectorization when possible, making it extremely fast and able\nto handle large lexicons. Additionally, the package contains\ndocumentation for users to easily write new functions, allowing\nresearchers to examine other relationships within a lexicon.\nPreprint: . Open\naccess: . Citation: Li, Z.,\nCrinnion, A.M. & Magnuson, J.S. (2021).\n.",
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"Repository": "https://comp-cogneuro-lang.r-universe.dev",
"Date/Publication": "2024-06-16 13:57:29 UTC",
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"_exports": [
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"get_cohortsP",
"get_embeds_in_target",
"get_embeds_in_targetP",
"get_fw",
"get_fwcp",
"get_homoforms",
"get_neighbors",
"get_neighborsP",
"get_nohorts",
"get_rhymes",
"get_target_embeds_in",
"get_target_embeds_inP",
"get_uniqpt"
],
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"title": "Lemmalex dictionary",
"object": "lemmalex",
"class": [
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"tbl",
"data.frame"
],
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"Frequency",
"Pronunciation"
],
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"tojson": true
},
{
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"title": "slex ARPAbet",
"object": "slex",
"class": [
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"data.frame"
],
"fields": [
"Item",
"Pronunciation",
"Frequency"
],
"rows": 212,
"table": true,
"tojson": true
}
],
"_help": [
{
"page": "get_cohorts",
"title": "Get cohort competitors",
"topics": [
"get_cohorts"
]
},
{
"page": "get_cohortsP",
"title": "Get CohortsPrime",
"topics": [
"get_cohortsP"
]
},
{
"page": "get_embeds_in_target",
"title": "Get embedding competitors",
"topics": [
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]
},
{
"page": "get_embeds_in_targetP",
"title": "Get embeds-in-target PRIME",
"topics": [
"get_embeds_in_targetP"
]
},
{
"page": "get_fw",
"title": "Get the log Frequency Weight (FW) of a competitor set",
"topics": [
"get_fw"
]
},
{
"page": "get_fwcp",
"title": "Get the log Frequency Weighted Competitor Probability (FWCP)",
"topics": [
"get_fwcp"
]
},
{
"page": "get_homoforms",
"title": "Get homophones",
"topics": [
"get_homoforms"
]
},
{
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"title": "Get phonological neighbors",
"topics": [
"get_neighbors"
]
},
{
"page": "get_neighborsP",
"title": "Get NeighborssPrime",
"topics": [
"get_neighborsP"
]
},
{
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"title": "Get nohorts",
"topics": [
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]
},
{
"page": "get_rhymes",
"title": "Get rhyme competitors",
"topics": [
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]
},
{
"page": "get_target_embeds_in",
"title": "Get embedded competitors",
"topics": [
"get_target_embeds_in"
]
},
{
"page": "get_target_embeds_inP",
"title": "Get target-embeds-in PRIME",
"topics": [
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]
},
{
"page": "get_uniqpt",
"title": "Get phonological uniqueness point",
"topics": [
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]
},
{
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"title": "Lemmalex dictionary",
"topics": [
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]
},
{
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"_readme": "https://github.com/comp-cogneuro-lang/lexfindr/raw/HEAD/README.md",
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"author": "ZhaoBin Li, Anne Marie Crinnion, and James S. Magnuson",
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"Installation",
"Getting started",
"NOTE: On using ARPABET from the CMU Pronouncing Dictionary",
"EXAMPLE: cohorts with the TRACE slex lexicon",
"EXAMPLE: rhymes with the TRACE slex lexicon and tidyverse piping style",
"EXAMPLE: Using parallelization",
"EXAMPLE: Putting it all together"
],
"created": "2021-01-09 18:20:06",
"modified": "2024-06-16 12:38:32",
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