Corpus word-order data: schema #
Typed schema for the word-order data a paper draws from corpora: per-language counts of the
two relative orders of a nominal subject and object, per-language printed statistics of that
order (its Shannon entropy and the mutual information between case marking and syntactic role),
and individually annotated clauses recording the order of object and verb together with the
text type, the object's length, and its animacy. Generated rows live in
Data/WordOrder/Corpus/<Paper>.lean, emitted from the canonical <Paper>.json by
scripts/gen_word_order_corpus.py.
This is data: it imports nothing from Linglib/ and states no theorems; the order and text-type
enumerations carry the discrete measurable structure so that consumers can take laws over them.
Counts are the dataset's integers; printed statistics are scaled integers, in thousandths of a
bit, at the precision the dataset prints, so that consumers compute over them by decide.
Language codes are ISO 639-3 codes as the datasets print them.
References #
The relative order of a nominal subject and a nominal object in a clause.
- subjectFirst : SubjectObject
- objectFirst : SubjectObject
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- Data.WordOrder.Corpus.instDecidableEqSubjectObject x✝ y✝ = if h : x✝.ctorIdx = y✝.ctorIdx then isTrue ⋯ else isFalse ⋯
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The relative order of a nominal object and its verb in a clause.
- objectFirst : ObjectVerb
- verbFirst : ObjectVerb
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- Data.WordOrder.Corpus.instDecidableEqObjectVerb x✝ y✝ = if h : x✝.ctorIdx = y✝.ctorIdx then isTrue ⋯ else isFalse ⋯
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- Data.WordOrder.Corpus.instDecidableEqTextType x✝ y✝ = if h : x✝.ctorIdx = y✝.ctorIdx then isTrue ⋯ else isFalse ⋯
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One language's counts of subject-before-object and object-before-subject clauses in a corpus.
- language : String
The language name as the dataset prints it.
- isoCode : String
The ISO 639-3 language code.
- subjectFirst : ℕ
The number of clauses with the subject before the object.
- objectFirst : ℕ
The number of clauses with the object before the subject.
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One language's printed statistics of subject–object order in a corpus, the Shannon entropy of the order and the mutual information between case marking and syntactic role, both in thousandths of a bit.
- language : String
The language name as the dataset prints it.
- entropy1000 : ℕ
The Shannon entropy of subject–object order, in thousandths of a bit.
- caseMutualInformation1000 : ℕ
The mutual information between case marking and syntactic role, in thousandths of a bit.
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One annotated declarative clause, with its text type and source text, the order of object and verb, the object's length in words, and whether the object is animate.
- textType : TextType
- source : String
The title of the source text as the dataset prints it.
- order : ObjectVerb
- objectLength : ℕ
The length of the object in words.
- animate : Bool
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