Japanese
Contributed by Yukari Konuma and Artemii Kuznetsov
The Japanese data were initially provided and analyzed by Yukari Konuma in her capacity as a native speaker in 2011. The Russian version of the questionnaire was used at this stage. In 2026, the dataset was significantly reannotated based on Artemii Kuznetsov’s input, including corpus evidence, elicitation from native speakers, etc. The English version of the questionnaire was used at this stage.
The data are presented in modified Hepburn romanisation. Long vowels are marked with a macron (Tarō , kōkan ), except for long i in native words, which is written ii (utsukushii ). Morpheme boundaries within verbal and adjectival forms are marked by hyphens.
How to cite
Konuma, Yukari & Artemii Kuznetsov. 2026. Bivalent patterns in Japanese.
In: Say, Sergey (ed.). BivalTyp: Typological database of bivalent verbs and their encoding frames.
(Data first published on June 11, 2026;
last revised on October 26, 2026.) (Available online at https://bivaltyp.info ,
Accessed on .)
Basic info
Coordinates: 35.0, 135.0 .
Genealogy (as given in WALS ). Family: Japanese, genus: Japanese.
Macro-area: East and Southeast Asia.
Grammar notes
Basic clause structure and the transitive construction
Japanese is a verb-final language with dependent marking. Grammatical relations are expressed by postpositional particles (case markers), and the verb does not index its arguments. In the basic transitive construction, the A-argument is marked by the nominative ga and the P-argument by the accusative o , as in (1).
(1) Tarō ga ishi o nage-ta
PN NOM stone ACC throw-PST
‘Tarō threw a stone.’
The main difficulty in identifying valency patterns in Japanese comes from the topic marker wa . A topicalised argument that would otherwise be marked by ga or o loses its case marker and is marked by wa alone, as in (2). Other case markers may be retained and combine with wa , as in (3).
(2) Tarō wa ringo o tabe-ta
PN TOP apple ACC eat-PST
‘Tarō ate an apple.’
(3) Tarō ni wa furansu-go ga wakar-u
PN DAT TOP France-language NOM understand-NPST
‘Tarō understands French.’
The most natural rendering of most questionnaire sentences topicalises the X-argument. As a result, a single example does not always show how the verb would encode its arguments in a neutral context. The valency patterns in the database reflect this neutral, non-topicalised encoding rather than the surface form of the example cited.
For most verbs the neutral encoding is easy to establish. It is less clear for predicates that take two non-oblique arguments, mostly experiential verbs and adjectives, e.g. kowai ‘be afraid’ (#3), suki da ‘love’ (#46) and kikoeru ‘hear’ (#93). In neutral contexts these predicates occur in double-nominative (ga … ga ) or dative-nominative (ni … ga ) constructions.
For these cases we ran a questionnaire survey with 15 native speakers. Each clause in question was embedded in a relative clause, a context that disallows the topic marker, and speakers chose between the possible encodings. Further doubtful cases, where competing constructions exist, were checked against the Balanced Corpus of Contemporary Written Japanese (BCCWJ; Maekawa et al. 2014). The survey results and corpus counts are summarised in the database-internal comments to the relevant items.
To determine which argument is the subject, we used exaltation, i.e. the ability of an argument to control honorific and humble forms of the predicate. This is a standard subjecthood diagnostic for Japanese (Shibatani 1990). We use “exaltation” as an umbrella term for both honorification and humility. In the labels of valency patterns, (EXALT) and (NO.EXALT) indicate whether an argument does or does not control exaltation. For example:
• In NOM_NOM(NO.EXALT) (#3), both arguments are in the nominative, but only X behaves as a subject.
• In DAT(EXALT)_NOM(NO.EXALT) (#93), the dative experiencer is the subject.
• In NOM(NO.EXALT)_NOM (#1), the subject is the nominative Y.
Only the NOM_ACC pattern is classified as transitive (TR).
Case system
Case is marked by enclitic postpositional particles. Ten cases are distinguished:
• nominative ga
• accusative o
• dative ni
• genitive no (adnominal only)
• instrumental de
• comitative to
• ablative kara
• allative e
• terminative made
• comparative yori
The particle to also introduces quotations, hence the label QUOT (#51). The topic marker wa and the focal particle mo are not treated as cases. The complex marker N no koto o ‘the matter of N’ is treated as a separate encoding device (pattern NOM_no.koto.o, #25).
Verb lemmas
Verbs and adjectives are cited in their dictionary (non-past affirmative) form, adjectival nouns with the copula da , and verbal nouns with the light verb suru .
References
Maekawa, Kikuo, Makoto Yamazaki, Toshinobu Ogiso, Takehiko Maruyama, Hideki Ogura, Wakako Kashino, Hanae Koiso, Masaya Yamaguchi, Makiro Tanaka & Yasuharu Den. 2014. Balanced corpus of contemporary written Japanese. Language Resources and Evaluation 48(2). 345–371.
Shibatani, Masayoshi. 1990. The languages of Japan. Cambridge: Cambridge University Press.
Glossing abbreviations
ABL — ablative; ACC — accusative; ADV — adverbial; AUX — auxiliary; CAUS — causative; COM — comitative; COP — copula; CVB — converb; DAT — dative; GEN — genitive; HON — honorific; HOR — hortative; IMPFV — imperfective; INS — instrumental; NEG — negative; NMLZ — nominaliser; NOM — nominative; NPST — non-past; PASS — passive; PL — plural; PN — person name; PST — past; QUOT — quotative; SG — singular; TOP — topic; VBZ — verbalizer.
Data
Subset examples by valency pattern
Any
NA
DAT(EXALT)_NOM(NO.EXALT)
NOM(NO.EXALT)_NOM
NOM_ABL
NOM_COM
NOM_DAT
NOM_INS
NOM_no.koto.o
NOM_NOM(NO.EXALT)
NOM_QUOT
TR
Subset examples by locus
Any
*
TR
X
XY
Y
Valency pattern:
NOM(NO.EXALT)_NOM
X: NOM(NO.EXALT)
Y: NOM
Locus: X
watashi
wa
atama
ga
ita-i
i
top
head
nom
ache-
npst
‘I have a headache.’
Valency pattern:
NOM_DAT
X: NOM
Y: DAT
Locus: Y
Tarō
wa
infuruenza
ni
kakat-te-i-ru
pn
top
flu
dat
come_down_with-
cvb
-
aux
.
impfv
-
npst
‘Taro has the flu.’
Valency pattern:
NOM_NOM(NO.EXALT)
X: NOM
Y: NOM(NO.EXALT)
Locus: Y
watashi
wa
inu
ga
kowa-i
i
top
dog
nom
be_afraid-
npst
‘I am afraid of the dog.’
Note: The nominative stimulus fails to control exaltation, indicating non-canonical subjecthood.
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
ga
ishi
o
nage-ta
pn
nom
stone
acc
throw-
pst
‘Taro threw a stone.’
Valency pattern:
DAT(EXALT)_NOM(NO.EXALT)
X: DAT(EXALT)
Y: NOM(NO.EXALT)
Locus: XY
Tarō
ni
wa
o-kane
ga
jūbun
ar-u
pn
dat
top
hon
-money
nom
enough
be-
npst
‘Taro has enough money.’
Note: Non-verbal predicate.
Valency pattern:
NOM_DAT
X: NOM
Y: DAT
Locus: Y
Tarō
wa
Hanako
ni
ni-te-i-ru
pn
top
pn
dat
resemble-
cvb
-
aux
.
impfv
-
npst
‘Taro resembles Hanako.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
Hanako
o
shinji-te-i-ru
pn
top
pn
acc
believe-
cvb
-
aux
.
impfv
-
npst
‘Taro believes Hanako.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
hon
o
tot-ta
pn
top
book
acc
take-
pst
‘Taro took a book.’
Valency pattern:
DAT(EXALT)_NOM(NO.EXALT)
X: DAT(EXALT)
Y: NOM(NO.EXALT)
Locus: XY
Tarō
ni
wa
ie
ga
mie-te-i-ru
pn
dat
top
house
nom
be_visible-
cvb
-
aux
.
impfv
-
npst
‘Taro sees a house.’
Valency pattern:
NOM_DAT
X: NOM
Y: DAT
Locus: Y
nenrei
wa
kioku
ni
eikyō
su-ru
age
top
memory
dat
influence
vbz
-
npst
‘Age influences memory.’
Valency pattern:
NOM_DAT
X: NOM
Y: DAT
Locus: Y
Tarō
wa
Hanako
ni
at-ta
pn
top
pn
dat
meet-
pst
‘Taro encountered Hanako.’
Valency pattern:
NOM_DAT
X: NOM
Y: DAT
Locus: Y
Tarō
wa
ie
ni
hait-ta
pn
top
house
dat
enter-
pst
‘Taro entered the house.’
Valency pattern:
NOM_DAT
X: NOM
Y: DAT
Locus: Y
Tarō
wa
Hanako
ni
kat-ta
pn
top
pn
dat
win-
pst
‘Taro beat Hanako.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
ie
o
de-ta
pn
top
house
acc
go_out-
pst
‘Taro went out of the house.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
ushi
o
ot-te-i-ru
pn
top
cow
acc
drive-
cvb
-
aux
.
impfv
-
npst
‘Taro is driving the cow.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
eda
o
mage-ta
pn
top
branch
acc
bend-
pst
‘Taro bent the branch.’
Valency pattern:
NOM_DAT
X: NOM
Y: DAT
Locus: Y
Tarō
wa
Hanako
ni
it-ta
pn
top
pn
dat
say-
pst
‘Taro told Hanako.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
hon
o
mot-te-i-ru
pn
top
book
acc
hold-
cvb
-
aux
.
impfv
-
npst
‘Taro is holding a book.’
Valency pattern:
NOM_DAT
X: NOM
Y: DAT
Locus: Y
Tarō
wa
Hanako
ni
oitsui-ta
pn
top
pn
dat
catch_up-
pst
‘Taro caught up with Hanako.’
Valency pattern:
NA
X: *
Y: *
Locus: *
Tarō
wa
ushi
no
chichi
o
shibot-ta
pn
top
cow
gen
milk
acc
squeeze-
pst
‘Taro milked the cow.’
Note: Not included in the database because Y is expressed as an NP-internal modifier.
Valency pattern:
NOM_DAT
X: NOM
Y: DAT
Locus: Y
Tarō
wa
kishi
ni
tsui-ta
pn
top
shore
dat
reach-
pst
‘Taro reached the bank.’
Valency pattern:
NOM_DAT
X: NOM
Y: DAT
Locus: Y
Tarō
wa
kabe
ni
fure-ta
pn
top
wall
dat
touch-
pst
‘Taro touched the wall.’
Valency pattern:
NOM_COM
X: NOM
Y: COM
Locus: Y
Tarō
ga
Hanako
to
kenka
shi-te-i-ru
pn
nom
pn
com
fight
vbz
-
cvb
-
aux
.
impfv
-
npst
‘Taro is fighting with Hanako.’
Valency pattern:
NOM_COM
X: NOM
Y: COM
Locus: Y
Tarō
wa
Hanako
to
shitashi-ku
shi-te-i-ru
pn
top
pn
com
friendly-
adv
vbz
-
cvb
-
aux
.
impfv
-
npst
‘Taro is friends with Hanako.’
Valency pattern:
NOM_no.koto.o
X: NOM
Y: no.koto.o
Locus: Y
Tarō
wa
Hanako
no
koto
o
kangae-te-i-ru
pn
top
pn
gen
matter
acc
think-
cvb
-
aux
.
impfv
-
npst
‘Taro is thinking about Hanako.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
ringo
o
tabe-ta
pn
top
apple
acc
eat-
pst
‘Taro ate an apple.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
sakana
o
yai-ta
pn
top
fish
acc
fry-
pst
‘Taro fried the fish.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
Hanako
o
mat-te-i-ru
pn
top
pn
acc
wait-
cvb
-
aux
.
impfv
-
npst
‘Taro is waiting for Hanako.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
hoka
no
michi
o
wasure-ta
pn
top
other
gen
road
acc
forget-
pst
‘Taro forgot the other road.’
Valency pattern:
NOM_DAT
X: NOM
Y: DAT
Locus: Y
kiokuryoku
wa
nenrei
ni
yor-u
memory
top
age
dat
depend-
npst
‘Memory depends on age.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
Hanako
o
yon-da
pn
top
pn
acc
call-
pst
‘Taro called Hanako.’
Valency pattern:
NOM_COM
X: NOM
Y: COM
Locus: Y
Tarō
wa
Hanako
to
ichi-nen
mae
ni
shiriat-ta
pn
top
pn
com
one-year
earlier
dat
get_acquainted-
pst
‘Taro got to know Hanako a year ago.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
Hanako
o
shit-te-i-ru
pn
top
pn
acc
get_to_know-
cvb
-
aux
.
impfv
-
npst
‘Taro knows Hanako.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
gitā
o
hii-te-i-ru
pn
top
guitar
acc
play-
cvb
-
aux
.
impfv
-
npst
‘Taro is playing the guitar.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
Hanako
o
sake-te-i-ru
pn
top
pn
acc
avoid-
cvb
-
aux
.
impfv
-
npst
‘Taro avoids Hanako.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
nezumitori
o
tsukut-ta
pn
top
mousetrap
acc
make-
pst
‘Taro made a mousetrap.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
Hanako
o
ijime-te-i-ru
pn
top
pn
acc
make_fun-
cvb
-
aux
.
impfv
-
npst
‘Taro is making fun of Hanako.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
kuruma
o
mot-te-i-ru
pn
top
car
acc
have-
cvb
-
aux
.
impfv
-
npst
‘Taro has a car.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
kagi
o
sagashi-te-i-ru
pn
top
key
acc
look_for-
cvb
-
aux
.
impfv
-
npst
‘Taro is looking for the keys.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
hei
o
nut-ta
pn
top
fence
acc
paint-
pst
‘Taro painted the fence.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
inu
ga
Tarō
o
kan-da
dog
nom
pn
acc
bite-
pst
‘A dog bit Taro.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
ie
o
ushinat-ta
pn
top
house
acc
forfeit-
pst
‘Taro lost his house.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
neko
o
tsukamae-yō
to
shi-te-i-ru
pn
top
cat
acc
catch-
hor
quot
vbz
-
cvb
-
aux
.
impfv
-
npst
‘Taro is trying to catch the cat.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
bō
o
ot-ta
pn
top
stick
acc
break-
pst
‘Taro broke a stick.’
Valency pattern:
NOM_DAT
X: NOM
Y: DAT
Locus: Y
Tarō
wa
Hanako
ni
o-seji
o
it-te-i-ru
pn
top
pn
dat
hon
-compliment
acc
tell-
cvb
-
aux
.
impfv
-
npst
‘Taro is flattering Hanako.’
Valency pattern:
NOM_NOM(NO.EXALT)
X: NOM
Y: NOM(NO.EXALT)
Locus: Y
Tarō
wa
Hanako
ga
suki
da
pn
top
pn
nom
beloved
cop
.
npst
‘Taro loves Hanako.’
Note: Non-verbal predicate.
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
ga
hankachi
o
fut-te-i-ru
pn
nom
handkerchief
acc
wave-
cvb
-
aux
.
impfv
-
npst
‘Taro is waving a handkerchief.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
shinsha
o
yumemi-te-i-ru
pn
top
new_car
acc
dream-
cvb
-
aux
.
impfv
-
npst
‘Taro is dreaming of a new car.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
chawan
o
arat-ta
pn
top
cup
acc
wash-
pst
‘Taro washed the cup.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
zubon
o
hai-ta
pn
top
trousers
acc
put_on-
pst
‘Taro put on his trousers.’
Valency pattern:
NOM_QUOT
X: NOM
Y: QUOT
Locus: Y
kono
dōgu
wa
Konpasu
to
i-u
this
instrument
top
compass
quot
call-
npst
‘This instrument is called a compass.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
jibun
no
musuko
o
basshi-ta
pn
top
self
gen
son
acc
punish-
pst
‘Taro punished his son.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
kuma
ga
tsuribito
o
osot-ta
bear
nom
fisherman
acc
attack-
pst
‘A bear attacked a fisherman.’
Valency pattern:
NOM_INS
X: NOM
Y: INS
Locus: Y
baketsu
wa
mizu
de
mitasa-re-ta
bucket
top
water
ins
fill-
pass
-
pst
‘The bucket filled with water.’
Note: This is a passive construction.
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
kagi
o
mitsuke-ta
pn
top
key
acc
find-
pst
‘Taro found his keys.’
Valency pattern:
DAT(EXALT)_NOM(NO.EXALT)
X: DAT(EXALT)
Y: NOM(NO.EXALT)
Locus: XY
Tarō
ni
wa
ichi-doru
tari-nai
pn
dat
top
one-dollar
be_enough-
neg
‘Taro is one dollar short.’
Note: The numeral phrase “ichi-doru” ‘one dollar’ takes no case marker. The label NOM(NO.EXALT) is based on the variant with an ordinary noun, cf. “Tarō ni wa o-kane ga tari-nai” ‘Tarō is short of money’.
Valency pattern:
NOM_NOM(NO.EXALT)
X: NOM
Y: NOM(NO.EXALT)
Locus: Y
Tarō
wa
Hanako
ga
kirai
da
pn
top
pn
nom
disliked
cop
.
npst
‘Taro hates Hanako.’
Note: Non-verbal predicate.
Valency pattern:
NOM_NOM(NO.EXALT)
X: NOM
Y: NOM(NO.EXALT)
Locus: Y
Tarō
wa
kono
shatsu
ga
ki
ni
it-te-i-ru
pn
top
this
shirt
nom
mood
dat
enter-
cvb
-
aux
.
impfv
-
npst
‘Taro likes this shirt.’
Valency pattern:
NOM_NOM(NO.EXALT)
X: NOM
Y: NOM(NO.EXALT)
Locus: Y
Tarō
wa
o-kane
ga
ir-u
pn
top
hon
-money
nom
need-
npst
‘Taro needs money.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
kabe
ga
machi
o
kakon-de-i-ru
wall
nom
town
acc
surround-
cvb
-
aux
.
impfv
-
npst
‘Walls surround the town.’
Valency pattern:
DAT(EXALT)_NOM(NO.EXALT)
X: DAT(EXALT)
Y: NOM(NO.EXALT)
Locus: XY
Tarō
ni
wa
jū-doru
nokot-te-i-ru
pn
dat
top
ten-dollar
remain-
cvb
-
aux
.
impfv
-
npst
‘Taro has ten dollars left.’
Note: The numeral phrase “jū-doru” ‘ten dollars’ takes no case marker. The label NOM(NO.EXALT) is based on the variant with an ordinary noun, cf. “Tarō ni wa ie ga nokot-te-i-ru” ‘Tarō still has his house’.
Valency pattern:
NOM_DAT
X: NOM
Y: DAT
Locus: Y
Tarō
wa
sensei
ni
kotae-ta
pn
top
teacher
dat
answer-
pst
‘Taro answered the teacher.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
kan
o
ake-ta
pn
top
can
acc
open-
pst
‘Taro opened a can.’
Valency pattern:
NOM_COM
X: NOM
Y: COM
Locus: Y
boku
no
shatsu
wa
kimi
no
to
wa
chigat-te-i-ru
i
gen
shirt
top
you(
sg
)
nmlz
com
top
be_different-
cvb
-
aux
.
impfv
-
npst
‘My shirt is different from yours.’
Valency pattern:
NOM_DAT
X: NOM
Y: DAT
Locus: Y
Tarō
wa
Hanako
ni
okure-ta
pn
top
pn
dat
fall_behind-
pst
‘Taro fell behind Hanako.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
hatake
o
tagayashi-te-i-ru
pn
top
field
acc
plough-
cvb
-
aux
.
impfv
-
npst
‘Taro is ploughing the field.’
Valency pattern:
NA
X: *
Y: *
Locus: *
watashi
no
te
wa
gasorin
no
nioi
ga
su-ru
i
gen
hand
top
gasoline
gen
smell
nom
vbz
-
npst
‘My hands smell of gasoline.’
Note: Not included in the database because Y is expressed as an NP-internal modifier.
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
michi
o
watat-ta
pn
top
road
acc
cross-
pst
‘Taro crossed the road.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
utsukushii
uta
o
utat-ta
pn
top
beautiful
song
acc
sing-
pst
‘Taro sang a beautiful song.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
tegami
o
kai-ta
pn
top
letter
acc
write-
pst
‘Taro wrote a letter.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
gyūnyū
o
non-da
pn
top
milk
acc
drink-
pst
‘Taro drank the milk.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
namari
no
katamari
o
tokashi-ta
pn
top
lead
gen
piece
acc
melt-
pst
‘Taro melted a piece of lead.’
Valency pattern:
NOM_DAT
X: NOM
Y: DAT
Locus: Y
kono
beruto
wa
watashi
no
wanpīsu
ni
a-u
this
belt
top
i
gen
dress
dat
match-
npst
‘This belt goes well with my dress.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
kokyō
no
machi
o
sat-ta
pn
top
homeland
gen
town
acc
leave-
pst
‘Taro left his native town.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
jūtan
wa
yuka
zentai
o
ōt-te-i-ru
carpet
top
floor
all
acc
cover-
cvb
-
aux
.
impfv
-
npst
‘The carpet covers the whole floor.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
ie
o
yoku
oboe-te-i-ru
pn
top
house
acc
well
remember-
cvb
-
aux
.
impfv
-
npst
‘Taro remembers the house well.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
Hanako
o
tetsudat-ta
pn
top
pn
acc
help-
pst
‘Taro helped Hanako.’
Valency pattern:
DAT(EXALT)_NOM(NO.EXALT)
X: DAT(EXALT)
Y: NOM(NO.EXALT)
Locus: XY
Tarō
ni
wa
furansu-go
ga
wakar-u
pn
dat
top
f
rance-language
nom
understand-
npst
‘Taro understands French.’
Valency pattern:
NOM_DAT
X: NOM
Y: DAT
Locus: Y
kaminari
ga
ie
ni
ochi-ta
lightning
nom
house
dat
fall-
pst
‘Lightning struck the house.’
Valency pattern:
NOM_INS
X: NOM
Y: INS
Locus: Y
Tarō
wa
kamisori
de
kega
shi-ta
pn
top
razor
ins
wound
vbz
-
pst
‘Taro cut himself with a razor.’
Valency pattern:
NOM_DAT
X: NOM
Y: DAT
Locus: Y
koppu
ga
tēburu
ni
kuttsui-ta
glass
nom
table
dat
stick-
pst
‘The glass got stuck to the table.’
Valency pattern:
NOM_DAT
X: NOM
Y: DAT
Locus: Y
Tarō
wa
Hanako
ni
make-ta
pn
top
pn
dat
lose-
pst
‘Taro lost to Hanako.’
Valency pattern:
NOM_DAT
X: NOM
Y: DAT
Locus: Y
Tarō
wa
tegami
ni
yorokon-da
pn
top
letter
dat
rejoice-
pst
‘Taro was glad about the letter.’
Valency pattern:
NOM_COM
X: NOM
Y: COM
Locus: Y
Tarō
ga
Hanako
to
hanashi-te-i-ru
pn
nom
pn
com
talk-
cvb
-
aux
.
impfv
-
npst
‘Taro is speaking with Hanako.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Hanako
wa
otoko
no
ko
o
un-da
pn
top
man
gen
child
acc
give_birth-
pst
‘Hanako gave birth to a son.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
koppu
o
otoshi-ta
pn
top
glass
acc
drop-
pst
‘Taro dropped the glass.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
ware~ware
no
machi
o
kanri
shi-te-i-ru
pn
top
i
~
pl
gen
town
acc
management
vbz
-
cvb
-
aux
.
impfv
-
npst
‘Taro runs our town.’
Valency pattern:
NOM_NOM(NO.EXALT)
X: NOM
Y: NOM(NO.EXALT)
Locus: Y
watashi
wa
Hanako
ga
koishi-i
i
top
pn
nom
miss-
npst
‘I miss Hanako.’
Valency pattern:
NOM_DAT
X: NOM
Y: DAT
Locus: Y
Tarō
wa
Hanako
ni
tsuiteik-u
pn
top
pn
dat
follow-
npst
‘Taro follows Hanako.’
Valency pattern:
NOM_ABL
X: NOM
Y: ABL
Locus: Y
Tarō
wa
uma
kara
ori-ta
pn
top
horse
abl
go_down-
pst
‘Taro got down from the horse.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
rajio
o
kii-te-i-ru
pn
top
radio
acc
listen-
cvb
-
aux
.
impfv
-
npst
‘Taro is listening to radio.’
Valency pattern:
NA
X: *
Y: *
Locus: *
Tarō
wa
hahaoya
no
i-u
koto
o
kik-u
pn
top
mother
gen
say-
npst
matter
acc
listen-
npst
‘Taro listens to what his mother is saying.’
Note: Not included in the database because Y is expressed as an NP within a dependent clause.
Valency pattern:
DAT(EXALT)_NOM(NO.EXALT)
X: DAT(EXALT)
Y: NOM(NO.EXALT)
Locus: XY
Tarō
ni
wa
ongaku
ga
kikoe-te-i-ru
pn
dat
top
music
nom
be_audible-
cvb
-
aux
.
impfv
-
npst
‘Taro hears the music.’
Valency pattern:
NOM_COM
X: NOM
Y: COM
Locus: Y
hachimitsu
wa
gyūnyū
to
mazat-ta
honey
top
milk
com
mix-
pst
‘The honey got mixed with milk.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
amagumo
o
mi-te-i-ru
pn
top
cloud
acc
look-
cvb
-
aux
.
impfv
-
npst
‘Taro is looking at the clouds.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
shatsu
o
nui-da
pn
top
shirt
acc
take_off-
pst
‘Taro took off his shirt.’
Valency pattern:
NA
X: *
Y: *
Locus: *
Tarō
no
yume
ni
Hanako
ga
araware-ru
pn
gen
dream
dat
pn
nom
emerge-
npst
‘Hanako appears in Taro’s dream.’
Note: Not included in the database because X is expressed as an NP-internal modifier.
Valency pattern:
NOM_DAT
X: NOM
Y: DAT
Locus: Y
Tarō
wa
Hanako
ni
sansei
shi-ta
pn
top
pn
dat
agreement
vbz
-
pst
‘Taro agreed with Hanako.’
Valency pattern:
NOM_COM
X: NOM
Y: COM
Locus: Y
Tarō
wa
Hanako
to
kōron
shi-ta
pn
top
pn
com
quarrel
vbz
-
pst
‘Taro had a quarrel with Hanako.’
Valency pattern:
NOM_NOM(NO.EXALT)
X: NOM
Y: NOM(NO.EXALT)
Locus: Y
kono
kuruma
wa
taikin
ga
kakar-u
this
car
top
fortune
nom
cost-
npst
‘This car costs a fortune.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
tori
o
ut-ta
pn
top
bird
acc
shoot-
pst
‘Taro shot at the bird.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
satō
o
ire-ta
pn
top
sugar
acc
put_in-
pst
‘Taro poured the sugar.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
kagi
o
nakushi-ta
pn
top
key
acc
lose-
pst
‘Taro lost the key.’
Valency pattern:
NOM_DAT
X: NOM
Y: DAT
Locus: Y
takigi
wa
mizu
ni
shizun-da
log
top
water
dat
sink-
pst
‘The log sank in the water.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
Hanako
o
koroshi-ta
pn
top
pn
acc
kill-
pst
‘Taro killed Hanako.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
Hanako
o
nagut-ta
pn
top
pn
acc
hit-
pst
‘Taro hit Hanako.’
Valency pattern:
NOM_DAT
X: NOM
Y: DAT
Locus: Y
Tarō
wa
Hanako
ni
kuchizuke
shi-ta
pn
top
pn
dat
kiss
vbz
-
pst
‘Taro kissed Hanako.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
omoshiroi
hon
o
yon-da
pn
top
interesting
book
acc
read-
pst
‘Taro read an interesting book.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
yubi
o
ugokashi-ta
pn
top
finger
acc
move-
pst
‘Taro moved his finger.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
Hanako
o
sonkei
shi-te-i-ru
pn
top
pn
acc
respect
vbz
-
cvb
-
aux
.
impfv
-
npst
‘Taro respects Hanako.’
Valency pattern:
NOM_NOM(NO.EXALT)
X: NOM
Y: NOM(NO.EXALT)
Locus: Y
watashi
wa
kitanai
shokki
ga
iya
da
i
top
dirty
dishes
nom
squeamish
cop
.
npst
‘I am squeamish about dirty dishes.’
Note: Non-verbal predicate.
Valency pattern:
NOM_DAT
X: NOM
Y: DAT
Locus: Y
Tarō
wa
jibun
no
musuko
ni
manzoku
da
pn
top
self
gen
son
dat
content
cop
.
npst
‘Taro is satisfied with his son.’
Note: Non-verbal predicate.
Valency pattern:
NOM_DAT
X: NOM
Y: DAT
Locus: Y
Tarō
wa
Hanako
ni
koi
shi-ta
pn
top
pn
dat
love
vbz
-
pst
‘Taro fell in love with Hanako.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
Hanako
o
shin'yō
shi-te-i-ru
pn
top
pn
acc
trust
vbz
-
cvb
-
aux
.
impfv
-
npst
‘Taro trusts Hanako.’
Valency pattern:
NOM_NOM(NO.EXALT)
X: NOM
Y: NOM(NO.EXALT)
Locus: Y
Tarō
wa
jibun
no
haha
ga
kawaisō
da
pn
top
self
gen
mother
nom
pitiful
cop
.
npst
‘Taro sympathises with his mother.’
Note: Non-verbal predicate.
Valency pattern:
NOM_NOM(NO.EXALT)
X: NOM
Y: NOM(NO.EXALT)
Locus: Y
watashi
wa
Hanako
ga
urayamashi-i
i
top
pn
nom
envy-
npst
‘I envy Hanako.’
Note: The nominative stimulus fails to control exaltation, indicating non-canonical subjecthood.
Valency pattern:
NOM_DAT
X: NOM
Y: DAT
Locus: Y
Tarō
wa
Hanako
ni
okot-te-i-ru
pn
top
pn
dat
be_angry-
cvb
-
aux
.
impfv
-
npst
‘Taro is angry with Hanako.’
Valency pattern:
NOM_DAT
X: NOM
Y: DAT
Locus: Y
Tarō
wa
sono
purezento
ni
odoroi-ta
pn
top
that
present
dat
be_surprised-
pst
‘Taro was surprised at that gift.’
Valency pattern:
NOM_NOM(NO.EXALT)
X: NOM
Y: NOM(NO.EXALT)
Locus: Y
Tarō
wa
o-cha
ga
suki
da
pn
top
hon
-tea
nom
beloved
cop
.
npst
‘Taro loves tea.’
Note: Non-verbal predicate.
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
atsu-i
o-cha
o
tanoshin-de-i-ru
pn
top
hot-
npst
hon
-tea
acc
enjoy-
cvb
-
aux
.
impfv
-
npst
‘Taro enjoys hot tea.’
Valency pattern:
NOM_NOM(NO.EXALT)
X: NOM
Y: NOM(NO.EXALT)
Locus: Y
watashi
wa
atarashi-i
keitaidenwa
ga
hoshi-i
i
top
new-
npst
mobile_phone
nom
want-
npst
‘I want a new mobile phone.’
Valency pattern:
NOM_DAT
X: NOM
Y: DAT
Locus: Y
Tarō
wa
Hanako
ni
okot-te-i-ru
pn
top
pn
dat
be_angry-
cvb
-
aux
.
impfv
-
npst
‘Taro holds a grudge against Hanako.’
Valency pattern:
NOM_DAT
X: NOM
Y: DAT
Locus: Y
Tarō
wa
Hanako
ni
okot-ta
pn
top
pn
dat
be_angry -
pst
‘Taro took offence at Hanako.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
Hanako
o
totemo
rakutan
sa-se-ta
pn
top
pn
acc
very
disappointment
vbz
-
caus
-
pst
‘Taro greatly upset Hanako.’
Note: This is a causative construction.
Valency pattern:
NOM_DAT
X: NOM
Y: DAT
Locus: Y
Tarō
wa
sono
machi
ni
odoroi-ta
pn
top
that
town
dat
be_surprised-
pst
‘Taro was impressed by that town.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
Hanako
o
sagesun-de-i-ru
pn
top
pn
acc
despise-
cvb
-
aux
.
impfv
-
npst
‘Taro despises Hanako.’
Valency pattern:
NOM_DAT
X: NOM
Y: DAT
Locus: Y
Tarō
wa
jibun
no
musuko
ni
gakkari
shi-ta
pn
top
self
gen
son
dat
disappointment
vbz
-
pst
‘Taro got upset with his son.’
Valency pattern:
NOM_DAT
X: NOM
Y: DAT
Locus: Y
Tarō
wa
jibun
no
musume
ni
iradat-te-i-ru
pn
top
self
gen
daughter
dat
be_irritated-
cvb
-
aux
.
impfv
-
npst
‘Taro is getting irritated with his daughter.’
Valency pattern:
NOM_DAT
X: NOM
Y: DAT
Locus: Y
Tarō
wa
Hanako
ni
kōkan
o
mot-te-i-ru
pn
top
pn
dat
fondness
acc
have-
cvb
-
aux
.
impfv
-
npst
‘Taro is fond of Hanako.’
Valency pattern:
TR
X: NOM
Y: ACC
Locus: TR
Tarō
wa
jibun
no
shinchō
o
ki
ni
shi-te-i-ru
pn
top
self
gen
height
acc
feeling
dat
vbz
-
cvb
-
aux
.
impfv
-
npst
‘Taro is embarrassed about his height.’