Minimalist Machine Derivations
Files:
grammar.pl /
m12.pl /
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Examples:
Basic sentence patterns:
collapse
Machine Parameters:
expand
substream_stack | on | Allow transfer of substream stack back to mainstream |
stack_update_larger | off | Replace updated subconstituent of stack element |
pmerge_flag | off | Allow spellout of pair-merge in either order |
inactive_push | on | Push nonhead of DC merge onto the stack inactive(_) |
search | stk | Search SO or stack for unvalued uF to be released |
drop_stack | off | Drop stack items that are two phase boundaries down |
stack_access | local | Local or global access to elements of the stack |
le | on | Local Extent boundary conditions, used to trigger stacking of unvalued uF SOs |
subphrase_check | subsume_ss | Push element onto stack, first check if subconstituent is already there |
c_stack_search | inactive | c stack search normal or can see into inactive wrapped elements |
occ_new_flag | off | if already old, create new, otherwise keep old |
stack_subc | off | if existing subconstituent found on stack, mark old and substitute new on stack |
vprint | on | Print stack as vertical list |
iprint | off | Print inactive(_) wrappers |
occ_debug | off | use @ to indicate occ(V), V a variable |
Animation:
(2) John runs
Derivation:
(2) John runs
Stream: | [[run],[vunerg],[[john!D],[d!case!N]],[T!phi],[c]] |
Stack (⥥): | |
SO: | []
|
Step 1.
Head of stream [run] is the initial SO
Stream: | [[vunerg],[[john!D],[d!case!N]],[T!phi],[c]] |
Stack (⥥): | |
SO: | [run]
![](data:image/png;base64,iVBORw0KGgoAAAANSUhEUgAAAu4AAAAtCAYAAADx/u75AAAAAXNSR0IArs4c6QAAAERlWElmTU0AKgAAAAgAAYdpAAQAAAABAAAAGgAAAAAAA6ABAAMAAAABAAEAAKACAAQAAAABAAAC7qADAAQAAAABAAAALQAAAAD3LJtLAAAEdUlEQVR4Ae3dv0pjQRQH4JOw/gMFCxEEURBEX8Fa8AEsfQNtBHutrH0CC7EUbCysxBfQzk5stBULBVEUyZrABpMFk+wsg0O+gHDvdcZz8s0UP8L1plL7fIUXAQIECBAgQIAAAQI/WqD6o7vTHAECBAgQIECAAAECDQHB3UYgQIAAAQIECBAgUICA4F7AImmRAAECBAgQIECAgOBuDxAgQIAAAQIECBAoQEBwL2CRtEiAAAECBAgQIEBAcLcHCBAgQIAAAQIECBQgILgXsEhaJECAAAECBAgQICC42wMECBAgQIAAAQIEChAQ3AtYJC0SIECAAAECBAgQENztAQIECBAgQIAAAQIFCAjuBSySFgkQIECAAAECBAgI7vYAAQIECBAgQIAAgQIEBPcCFkmLBAgQIECAAAECBAR3e4AAAQIECBAgQIBAAQKCewGLpEUCBAgQIECAAAECgrs9QIAAAQIECBAgQKAAAcG9gEXSIgECBAgQIECAAAHB3R4gQIAAAQIECBAgUIBAtuBeq9UK4NAiAQIECBAgQIAAgZ8p0HVwPz09jZ2dndjc3IzJycl4fX2N9fX1uLi4aHlna2trcXNzE4+Pj7G8vByHh4exuLgYo6Ojsbq62rjeMsEJAQIECBAgQIAAAQIdBboO7g8PD7G3txe3t7dxcnISw8PDcX19HU9PTy1Frq6u4uXlJT4+PuL8/DwODg7i7OwsLi8v4/n5uRH8WyY4IUCAAAECBAgQIECgo8CvjiO+DBgaGoqjo6MYHBz8cvX7w/39/Zienm4M2tjYiO3t7e8n+C0BAgQIECBAgAABAn8JdP2Je33m0tJST6F9bGws5ubmmkUXFhbi/f29ee6AAAECBAgQIECAAIHuBHoK7uPj4x3/6tvbW3PMwMBA89gBAQIECBAgQIAAAQL/LtBTcK9UKi2V6sH8/v6+ea1+b/vd3V3z3AEBAgQIECBAgAABAv9HoKfg3l5yfn4+jo+Pm7e/7O7uNp420z7OOQECBAgQIECAAAECaQJd/3NqtVqN9k/ct7a2YmVlJaampmJiYiJmZ2cbP/WW6mPbx/+5ntay2QQIECBAgAABAgT6T6Dy+cVISd+MVH/sY/257SMjIzEzM9N/gt4xAQIECBAgQIAAgQwCycE9Q49KECBAgAABAgQIEOh7gaR73PteDwABAgQIECBAgACBTAKCeyZoZQgQIECAAAECBAikCAjuKXrmEiBAgAABAgQIEMgkILhnglaGAAECBAgQIECAQIqA4J6iZy4BAgQIECBAgACBTAKCeyZoZQgQIECAAAECBAikCAjuKXrmEiBAgAABAgQIEMgkILhnglaGAAECBAgQIECAQIqA4J6iZy4BAgQIECBAgACBTAKCeyZoZQgQIECAAAECBAikCAjuKXrmEiBAgAABAgQIEMgkILhnglaGAAECBAgQIECAQIqA4J6iZy4BAgQIECBAgACBTAKCeyZoZQgQIECAAAECBAikCAjuKXrmEiBAgAABAgQIEMgk8BuLv3bx7TNI8QAAAABJRU5ErkJggg==) |
Step 2.
Merge [vunerg] and [run]
Label from [vunerg] (leftmost by default)
Stream: | [[[john!D],[d!case!N]],[T!phi],[c]] |
Stack (⥥): | |
SO: | [vunerg[vunerg][run]]
![](data:image/png;base64,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) |
Step 3.
Begin substream
Stream: | [[john!D],[d!case!N]] |
Stack (⥥): | |
SO: | []
|
Step 4.
Head of stream [john!D] is the initial SO
Stream: | [[d!case!N]] |
Stack (⥥): | |
SO: | [john!D]
![](data:image/png;base64,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) |
Step 5.
Merge [d!case!N] and [john!D]
Label from [d!case!N] (syntactic head with an unvalued uF)
Inherit interpretable feature(s) [f(phi,[3,sg,n])] from [john!D]
[d!case!N] values D on [john!D]
[john] values N on [d!case!N]
Stream: | [] |
Stack (⥥): | |
SO: | [d!case[d][john]]
![](data:image/png;base64,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) |
End substream, SO [d!case[d][john]] re-inserted into main stream
Step 6.
Stream: | [[d!case[d][john]],[T!phi],[c]] |
Stack (⥥): | |
SO: | [vunerg[vunerg][run]]
![](data:image/png;base64,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) |
Step 7.
Merge [vunerg[vunerg][run]] and [d!case[d][john]]
Label from [vunerg[vunerg][run]] (edge feature)
Theta-mark [d!case[d][john]]
Push [d!case[d][john]] (unvalued uF) onto stack
Stream: | [[T!phi],[c]] |
Stack (⥥): | [d!case[d][john]]
|
SO: | [vunerg[d!case[d][john]][vunerg[vunerg][run]]]
![](data:image/png;base64,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) |
Step 8.
Merge [T!phi] and [vunerg[d!case[d..][john..]][vunerg[vunerg..][run..]]]
Label from [T!phi] (syntactic head merging with a non-head)
[d!case[d][john]] values uPhi on [T!phi]
[T] values nom case on [d!case[d][john]]
Stream: | [[c]] |
Stack (⥥): | [d[d][john]]
|
SO: | [T[T][vunerg[d[d][john]][vunerg[vunerg][run]]]]
![](data:image/png;base64,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) |
Step 9.
Internal merge selected
Merge [T[T][vunerg[d..][vunerg..]]] and [d[d][john]]
Label from [T[T][vunerg[d..][vunerg..]]] (edge feature)
Stream: | [[c]] |
Stack (⥥): | [d[d][john]]
|
SO: | [T[d[d][john]][T[T][vunerg[d[d][john]][vunerg[vunerg][run]]]]]
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) |
Step 10.
Merge [c] and [T[d[d..][john..]][T[T..][vunerg..]]]
Label from [c] (syntactic head merging with a non-head)
Stream: | [] |
Stack (⥥): | [d[d][john]]
|
SO: | [c[c][T[d[d][john]][T[T][vunerg[d[d][john]][vunerg[vunerg][run]]]]]]
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) |
Step 11.
Local Extent boundary at [c[c][T[d..][T..]]]
New boundary (b) marker stacked
Stream: | [] |
Stack (⥥): | b [d[d][john]]
|
SO: | [c[c][T[d[d][john]][T[T][vunerg[d[d][john]][vunerg[vunerg][run]]]]]]
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) |
Parse:
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)
Spell-out:
John -s run (after morpheme realization)
John run -s (after affix-hop)
John run -s (after morpheme realization, stage 2)
John runs
One derivation found.
Computational Cost:
Merge: 6, Agree: 4, Unify: 0, Push: 1, Boundaries: 1, Inject: 0
Non-TOS access: 0, Pop: 0, Depth cost: 1
Step: | 0 | 1 | 2 | 3 | 4 | 5 | 6 | 7 | 8 | 9 | 10 | 11 |
Stack depth: | 0 | 0 | 0 | 0 | 0 | 0 | 0 | 1 | 1 | 1 | 1 | 2 |