PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

5.51 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (528 utterances, 1,271 words searched).

  1. oo, takaku natta na . %mov:"20304"_101031_104470 FAT · japanese_ishii/20304.cha, line 62 · Jun 2;03
  2. sore mo shingoo ka na ? %mov:"20304"_594016_594016 FAT · japanese_ishii/20304.cha, line 335 · Jun 2;03
  3. doko itta ka na ,, chuusha suru no wa ? %mov:"20304"_659510_662011 FAT · japanese_ishii/20304.cha, line 384 · Jun 2;03
  4. kyuukyuusha nai ka na ? %mov:"20304"_663064_665140 FAT · japanese_ishii/20304.cha, line 386 · Jun 2;03
  5. Papa dore tabeyo ka na ? %mov:"20304"_1350597_1352086 FAT · japanese_ishii/20304.cha, line 822 · Jun 2;03
  6. nai na . %mov:"20304"_1543576_1544255 FAT · japanese_ishii/20304.cha, line 943 · Jun 2;03
  7. gakko [<] itta n ka na ? %mov:"20304"_1604922_1606954 FAT · japanese_ishii/20304.cha, line 987 · Jun 2;03
  1. FAThazushitageyo . %mov:"20304"_99621_100456
    FATtoreta . %mov:"20304"_100456_101031
    FAT*FAT: oo, takaku natta na . %mov:"20304"_101031_104470
    CHIdandan iki doo . %mov:"20304"_104470_107034
    FATe ? %mov:"20304"_107034_107482
  2. FATun . %mov:"20304"_591363_591828
    CHInani ,, koe ? %mov:"20304"_591828_594016
    FAT*FAT: sore mo shingoo ka na ? %mov:"20304"_594016_594016
    FATchigau [>] ? %mov:"20304"_595376_598131
    CHIka [<] kankan shuu no . %mov:"20304"_595376_598131
  3. FATkore wa shinai ne . %mov:"20304"_657048_658005
    FATchuusha suru no wa nee +... %mov:"20304"_658005_659510
    FAT*FAT: doko itta ka na ,, chuusha suru no wa ? %mov:"20304"_659510_662011
    FATkyuukyuusha desho ? %mov:"20304"_662011_663064
    FATkyuukyuusha nai ka na ? %mov:"20304"_663064_665140
  4. FATdoko itta ka na ,, chuusha suru no wa ? %mov:"20304"_659510_662011
    FATkyuukyuusha desho ? %mov:"20304"_662011_663064
    FAT*FAT: kyuukyuusha nai ka na ? %mov:"20304"_663064_665140
    CHIbashu kiekie shiten no . %mov:"20304"_665140_668534
    FATun, basu kirekire shiten no . %mov:"20304"_668534_670212
  5. FATtabetai no ? %mov:"20304"_1348325_1348325
    CHIPapa wa ? %mov:"20304"_1349151_1350597
    FAT*FAT: Papa dore tabeyo ka na ? %mov:"20304"_1350597_1352086
    FATdore ga oishii [>] ? %mov:"20304"_1352086_1354563
    CHIowai [<] . %mov:"20304"_1352086_1354563
  6. CHInai na . %mov:"20304"_1540251_1541428
    CHInai na . %mov:"20304"_1541428_1543576
    FAT*FAT: nai na . %mov:"20304"_1543576_1544255
    CHIkoko mo nai no . %mov:"20304"_1544255_1545760
    FATun . %mov:"20304"_1545760_1546257
  7. CHIitchatta no . %mov:"20304"_1603750_1604922
    CHIna [>] ? %mov:"20304"_1604922_1606954
    FAT*FAT: gakko [<] itta n ka na ? %mov:"20304"_1604922_1606954
    CHIgakko chita na ? %mov:"20304"_1606954_1608893
    FATgakko itchatta ka ? %mov:"20304"_1608893_1613558

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_ishii5.51
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20304.chaJun 2;3.041,271775.51

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. na7 · 100.0%