PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

3.86 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (898 utterances, 2,592 words searched).

  1. sono taiya nani te kaitaan no ? %mov:"30001"_512487_519985 FAT · japanese_ishii/30001.cha, line 290 · Jun 3;00
  2. Kauntakku wa doko ni kaitaan no . %mov:"30001"_527522_529589 FAT · japanese_ishii/30001.cha, line 295 · Jun 3;00
  3. nan te kaitaan no yo . %mov:"30001"_1515956_1517044 FAT · japanese_ishii/30001.cha, line 836 · Jun 3;00
  4. Kauntakku te kaitaan no ? %mov:"30001"_1517044_1519992 FAT · japanese_ishii/30001.cha, line 837 · Jun 3;00
  5. Rambooruginii tte kaitaan no ? %mov:"30001"_1521614_1523329 FAT · japanese_ishii/30001.cha, line 839 · Jun 3;00
  6. nan te kaitaan no,, nna ? %mov:"30001"_1524341_1527690 FAT · japanese_ishii/30001.cha, line 841 · Jun 3;00
  7. koko ni kaitaan ne . %mov:"30001"_1547855_1550099 FAT · japanese_ishii/30001.cha, line 848 · Jun 3;00
  8. eego de nan te kaitaan no . %mov:"30001"_1628103_1629979 FAT · japanese_ishii/30001.cha, line 892 · Jun 3;00
  9. ushi te kaitaan no . %mov:"30001"_1629979_1631024 FAT · japanese_ishii/30001.cha, line 893 · Jun 3;00
  10. uma te kaitaan no . %mov:"30001"_1631971_1633383 FAT · japanese_ishii/30001.cha, line 895 · Jun 3;00
  1. FATosoto ikehen . %mov:"30001"_510727_511768
    FATsora [: sore wa] soo ya . %mov:"30001"_511768_512487
    FAT*FAT: sono taiya nani te kaitaan no ? %mov:"30001"_512487_519985
    CHIano naa, eego [= English] . %mov:"30001"_519985_522268
    FATeego ga kaitaaru . %mov:"30001"_522268_523103
  2. FATKauntakku te kaitaaru ? %mov:"30001"_523103_525721
    CHIKauntakku haitehen [: kaitenai] . %mov:"30001"_525721_527522
    FAT*FAT: Kauntakku wa doko ni kaitaan no . %mov:"30001"_527522_529589
    CHInani mo kaitehen . %mov:"30001"_529589_533016
    FATsoo ka ? %mov:"30001"_533016_533927
  3. CHIsoo ya . %mov:"30001"_1513891_1515252
    FATsoo ka . %mov:"30001"_1515252_1515956
    FAT*FAT: nan te kaitaan no yo . %mov:"30001"_1515956_1517044
    FATKauntakku te kaitaan no ? %mov:"30001"_1517044_1519992
    CHIKauntakku chau wa . %mov:"30001"_1519992_1521614
  4. FATsoo ka . %mov:"30001"_1515252_1515956
    FATnan te kaitaan no yo . %mov:"30001"_1515956_1517044
    FAT*FAT: Kauntakku te kaitaan no ? %mov:"30001"_1517044_1519992
    CHIKauntakku chau wa . %mov:"30001"_1519992_1521614
    FATRambooruginii tte kaitaan no ? %mov:"30001"_1521614_1523329
  5. FATKauntakku te kaitaan no ? %mov:"30001"_1517044_1519992
    CHIKauntakku chau wa . %mov:"30001"_1519992_1521614
    FAT*FAT: Rambooruginii tte kaitaan no ? %mov:"30001"_1521614_1523329
    CHIchau wa . %mov:"30001"_1523329_1524341
    FATnan te kaitaan no,, nna ? %mov:"30001"_1524341_1527690
  6. FATRambooruginii tte kaitaan no ? %mov:"30001"_1521614_1523329
    CHIchau wa . %mov:"30001"_1523329_1524341
    FAT*FAT: nan te kaitaan no,, nna ? %mov:"30001"_1524341_1527690
    FAToshiete . %mov:"30001"_1527690_1532070
    CHIchau wa . %mov:"30001"_1532070_1533579
  7. CHIataru . %mov:"30001"_1543521_1545396
    FATun, a, koo yatte raito [= light] dasu no ka . %mov:"30001"_1545396_1547855
    FAT*FAT: koko ni kaitaan ne . %mov:"30001"_1547855_1550099
    CHIkaitaara +... %mov:"30001"_1550099_1550099
    CHIchau ya,, kore wa . %mov:"30001"_1553670_1555889
  8. CHIkore mo eego ya . %mov:"30001"_1625173_1627302
    FATsoo . %mov:"30001"_1627302_1628103
    FAT*FAT: eego de nan te kaitaan no . %mov:"30001"_1628103_1629979
    FATushi te kaitaan no . %mov:"30001"_1629979_1631024
    CHIchau wa . %mov:"30001"_1631024_1631971
  9. FATsoo . %mov:"30001"_1627302_1628103
    FATeego de nan te kaitaan no . %mov:"30001"_1628103_1629979
    FAT*FAT: ushi te kaitaan no . %mov:"30001"_1629979_1631024
    CHIchau wa . %mov:"30001"_1631024_1631971
    FATuma te kaitaan no . %mov:"30001"_1631971_1633383
  10. FATushi te kaitaan no . %mov:"30001"_1629979_1631024
    CHIchau wa . %mov:"30001"_1631024_1631971
    FAT*FAT: uma te kaitaan no . %mov:"30001"_1631971_1633383
    CHIchau wa . %mov:"30001"_1633383_1634777
    CHIkore naa # kore wa eego ya de . %mov:"30001"_1634777_1638709

Matches by age

One dot per transcript: matches per 1,000 words of everyone but CHI. Dots of the same child are joined.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Jun japanese_ishii3.86
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30001.chaJun 3;0.012,59210103.86

What the pattern matched

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.

  1. kaitaan10 · 100.0%