Who acts: traffic, two lanes, two rivers, schools, Cars, you · What happens: merge, be, become, join, form, make · To what, where: one, files, computer, bigger one, two cells, table
«merge» in the school dictionary: its 3 meanings for a pupil and its 6 examples, every sentence parsed by Mova itself — its syntax tree, a dependency tree in the style of Universal Dependencies, and its pragmatics clause by clause. The word in the dictionary, with its sense in the lessons: merge in the school dictionary.
vn become-109.1-1-1 «NP V NP»: agent=Patient one=Result
One row per clause the reader finds. «not said here»: a role filled from the clause above. «roles by»: a VerbNet class and frame when one fits the verb, else the reader's rules on the tree.
vn appear-48.1.1 «PP.location V NP»: agent=Location one=Theme
Example 2
The schools will merge next year.
The words, one row each (CoNLL-U)
#
word
lemma
UPOS
features
head
relation
1
The
the
DET
Definite=Def PronType=Art
2 schools
det
2
schools
school
NOUN
Number=Plur
4 merge
nsubj
3
will
will
AUX
VerbForm=Fin
4 merge
aux
4
merge
merge
VERB
VerbForm=Inf
root
root
5
next
next
ADJ
Degree=Pos
6 year
amod
6
year
year
NOUN
Number=Sing
4 merge
obj
7
.
.
PUNCT
_
4 merge
punct
#
verb
tense, mood
who
what, whom
to whom
where
when
other
roles by
1
merge
future
the schools
year
vn mix-22.1-1-1 «NP V»: agent=Patient
Example 3
Cars must merge into one lane.
The words, one row each (CoNLL-U)
#
word
lemma
UPOS
features
head
relation
1
Cars
car
NOUN
Number=Plur
3 merge
nsubj
2
must
must
AUX
VerbForm=Fin
3 merge
aux
3
merge
merge
VERB
VerbForm=Inf
root
root
4
into
into
ADP
_
6 lane
case
5
one
one
NUM
NumForm=Word NumType=Card
6 lane
nummod
6
lane
lane
NOUN
Number=Sing
3 merge
obl
7
.
.
PUNCT
_
3 merge
punct
#
verb
tense, mood
who
what, whom
to whom
where
when
other
roles by
1
merge
must
Cars
into one lane
vn mix-22.1-1-1 «NP V PP.co-patient»: agent=Patient into lane=Co-Patient
Example 4
Merge these two cells in the table.
The words, one row each (CoNLL-U)
#
word
lemma
UPOS
features
head
relation
1
Merge
merge
VERB
Mood=Imp VerbForm=Fin
root
root
2
these
this
DET
Number=Plur PronType=Dem
4 cells
det
3
two
two
NUM
NumForm=Word NumType=Card
4 cells
nummod
4
cells
cell
NOUN
Number=Plur
1 Merge
obj
5
in
in
ADP
_
7 table
case
6
the
the
DET
Definite=Def PronType=Art
7 table
det
7
table
table
NOUN
Number=Sing
1 Merge
obl
8
.
.
PUNCT
_
1 Merge
punct
#
verb
tense, mood
who
what, whom
to whom
where
when
other
roles by
1
merge
imperative
you not said here
this two cells
the table
vn mix-22.1-1-1 «NP V NP»: agent=Agent cell=Patient
Example 5
The colours merged together in the rain.
The words, one row each (CoNLL-U)
#
word
lemma
UPOS
features
head
relation
1
The
the
DET
Definite=Def PronType=Art
2 colours
det
2
colours
colour
NOUN
Number=Plur
root
root
3
merged
merge
VERB
Tense=Past VerbForm=Part Voice=Pass
2 colours
acl
4
together
together
ADV
_
3 merged
advmod
5
in
in
ADP
_
7 rain
case
6
the
the
DET
Definite=Def PronType=Art
7 rain
det
7
rain
rain
NOUN
Number=Sing
3 merged
obl
8
.
.
PUNCT
_
2 colours
punct
#
verb
tense, mood
who
what, whom
to whom
where
when
other
roles by
1
merge
participle
the colours not said here
the rain
together property
vn mix-22.1-1-1 «NP V»: agent=Patient
Example 6
Two clubs merged to make one big team.
The words, one row each (CoNLL-U)
#
word
lemma
UPOS
features
head
relation
1
Two
two
NUM
NumForm=Word NumType=Card
2 clubs
nummod
2
clubs
club
NOUN
Number=Plur
root
root
3
merged
merge
VERB
Tense=Past VerbForm=Part Voice=Pass
2 clubs
acl
4
to
to
PART
_
5 make
mark
5
make
make
VERB
VerbForm=Inf
3 merged
advcl
6
one
one
NUM
NumForm=Word NumType=Card
8 team
nummod
7
big
big
ADJ
Degree=Pos
8 team
amod
8
team
team
NOUN
Number=Sing
5 make
obj
9
.
.
PUNCT
_
2 clubs
punct
#
verb
tense, mood
who
what, whom
to whom
where
when
other
roles by
1
merge
participle
Two clubs not said here
vn mix-22.1-1-1 «NP V»: agent=Patient
2
make
to-infinitive
one big team
vn build-26.1-1 «NP.asset V NP»: agent=Asset team=Product
Text: the school dictionary of Mova's schools (world/data/dictionary-schools/), written for Mova. Trees: Mova's own parse — the en model on the CPU, when the site is built — not checked by a teacher; they may be wrong. Frames: Mova's frames reader (prag), each meaning and example read on its own. Elamur Cosmic License.