ODIN

The Online Database of Interlinear Text

 

The following interlinear glossed text data was extracted from a document found on the World Wide Web via a semi-automated process. The data presented here could contain corruption (degraded or missing characters), so the source document (link below) should be consulted to ensure accuracy. If you use any of the data shown here for research purposes, be sure to cite ODIN and the source document. Please use the following citation record or variant thereof:

Roger Levy and David Oshima (2003). Non-transitive information flow in Japanese noun-classifier matching.

URL: http://cslipublications.stanford.edu/HPSG/4/levy-oshima.pdf

(Last accessed 2009-07-23).

ODIN: http://odin.linguistlist.org/igt_raw.php?id= 2536&langcode=jpn (2018-11-20).

 

Example #1:

    a. 3-biki-no          saru-ga          ki-ta.      (prenominal)
    3-CL.animal-Gen monkey-     Nom come-Past
    (2 )       `Three monkeys came'
Example #2:

    (3 )       a.   3-nin-no           gakusei-ga piano-o motiage-ta.
    3-CL.human-Gen student-Nom piano-Acc lift-Past
    possible)
Example #3:

    b.   Gakusei-ga 3-nin            piano-o motiage-ta.
    student-Nom 3-CL.human piano-Acc lift-Past
    `Three students lifted a piano.' (the distributive reading only)
Example #4:

    a.   3-syurui-no         sakana-o 2-hiki-zutu        tabe-ta.
    3-CL.species-Gen fish-Acc 2-CL.animal-each eat-Past
    `(I) ate two each of three species of fish.'
Example #5:

    b.   2-satu-no                 h o n -o   gookei 10,000-bu       zoosatu-si-ta.
    2-CL.bound object-Gen book-Acc in.total 10,000-CL.copy print-Past
    `(The publisher) printed a total 10,000 copies of two books.'
Example #6:

    c.   3-meigara-no biiru 2-syurui-zutu-o gookei 10-garon             n o n - d a.
    3-CL.brand-Gen beer 2-CL.species-Acc in.total 10-CL.gallon drink-Past
    `(We) drank two types each of three brands of beer, ten gallons in total.'
Example #7:

    a. Mizu-o 3-bai,            zenbu-de 2-rittoru non-da.
    water-Acc 3-CL.cup in.total 2-CL.liter drink-Past
    `(I) drank three glasses of water, two liters in total.'
Example #8:

    b. Hon-o         5-hako, (gookei) 100-satu                     hakon-da.
    book-Acc 5-CL.box in.sum 100-CL.bound object transport-Past
    `(I) moved five boxes of books, 100 books in total.'
Example #9:

    a. 2-syurui-no            sakana 3-biki-zutu-o               tabe-ta.
    2-CL.species-Gen fish       3-CL.animal-each-Acc       eat-Past
    `I ate three each of two species of fish.'
Example #10:

    a. Sakana-o 2-syurui,         gookei 10-piki            tabe-ta.
    fish-Acc 2-CL.species in.total 10-CL.animal        eat-Past
    `I ate two species of fish, ten fish in all.'
Example #11:

    a. (i)      2-syurui-no           sakana-o gookei 10-piki        tabe-ta.
    2-CL.species-Gen fish-Acc in.total 10-CL.animal eat-Past
    `I ate a total of ten of two species of fish.'
Example #12:

    (ii) Sakana 2-syurui-o             gookei 10-piki       tabe-ta.
    fish     2-CL.species-Acc in.total 10-CL.animal eat-Past
    `I ate a total of ten of two species of fish.'
Example #13:

    b.    ?100-satu-no                hon 3-hako-o        hakon-da.
    100-CL.bound object-Gen book 3-CL.box-Acc transport-Past
    `(I) moved three boxes of books, 100 books in all.'3
Example #14:

    b. (?)Hon-o gookei 100-satu,                       3-hako       hakon-da.
    book-Acc in.total 100-CL.bound         object 3-CL.box     transport-Past
    `(I) moved three boxes of books,      100 books in all.'
Example #15:

    kai-ta.
    write-Past
    `(I) wrote 2,000 pages' worth of twenty letters and three novels.'
Example #16:

    tabeta.
    eat-Past
    ((I) ate five types of fish and bird, seven fish and seven birds.)
Example #17:

    (2 1 )   a.    M ad o - o   1-tu/*mai                            kugut-ta.
    window-Acc 1-CL.general/CL.2D obje             ct pass.through-Past
    `(I/you/he) went through a window.'
Example #18:

    b.    M ad o - g a 1-??tu/mai                           ware-ta.
    window-Acc 1-CL.general/CL.2D obje             ct breakintr -Past
    `A window has broken.'
Example #19:

    makikom-are-ta.
    involve.in-Pass-Past
    `A bus was involved in a traffic accident.'
Example #20:

    b.   Basu-o 1-?dai/pon                                         nogasi-ta.
    bus-Acc 1-CL.vehicle/CL.scheduled event                   miss-Past
    `(I) missed a bus.'
Example #21:

    (2 3 )   a.   Ho n - o  2-satu/*bu
    book-Acc 2-CL.bound object/*CL.copy make.into.movie-PAST
    `(They) made two books into movies.'
Example #22:

    b.   Ho n - o  2,000-satu/bu                      zoosatu-sita.
    book-Acc 2,000-CL.bound object/CL.copy print-PAST
    `(They) printed two thousand books (resp. bound objects or copies)'
Example #23:

    (2 4 )   M ad o - o    3-tu         kugut-te,         2 - m ai    wat-ta.
    Window-Acc 3-CL.general passthrough-Conj, 2-CL.2D object breaktrans -Past
    `(I) went through three windows and broke two.'
Example #24:

    eigaka-sita.
    make.into.movie-Past
    `(I) made into movies two books that sold more than 10,000 copies.'
Example #25:

    a. 2-syurui-no               sakana 3-biki-zutu-o            tabe-ta.
    2-CL.species-Gen fish       3-CL.animal-each-Acc    eat-Past
    `(I) ate three each of two types of fish.'
Example #26:

    (3 1 )     a.   1,000-bu-no          eigaka-s-are-ta              h o n -o    moyasi-ta.
    1,000-CL.copy-Gen make.into.movie-Pass-Past book-Acc burntrans -Past
    `(I) burned 1,000 copies of books that were made into movies.'
Example #27:

    1,000-bu)        moyasi-ta.
    1,000-CL.copy) burntrans -Past
    `I burned (1,000 total copies of) two books that were made into movies.'
Example #28:

    [Eigaka-s-are-ta]            hon 1,000-bu-o            moyasi-ta.
    [make.into.movie-Pass-Past] book 1,000-CL.bound-Acc burntrans -Past
    `(I) burned 1,000 copies of books that were made into movies.
Example #29:

    seiren-sita.
    purify-Past
    mained.'
Example #30:

    (3 6 )   2-syurui-no         sakana-o 3-biki-zutu   tabe-ta.
    2-CL.species-Gen fish-Acc 3-CL.animal-each eat-Past
    `(I) ate three each of two types of fish.'
Example #31:

    (3 1 )   a.   1,000-bu-no          eigaka-s-are-ta              h o n -o    moyasi-ta.
    1,000-CL.copy-Gen make.into.movie-Pass-Past book-Acc burntrans -Past
    "(I) burned 1,000 copies of books that were made into movies."
Example #32:

    1,000-bu)       moyasi-ta.
    1,000-CL.copy) burntrans -Past
    `I burned (1,000 total copies of) two books that were made into movies.'
Example #33:

    b.   100-satu-no           h o n -o    3-hako hakon-da.
    100-CL.bound-Gen book-Acc 3-CL.box transport-Past
    `(We) moved three boxes of 100 books [each box containing 100 books].'