PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

9.46 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (423 utterances, 1,057 words searched).

  1. kore nan yatta [>] ? %mov:"20002"_14798_15589 FAT · japanese_ishii/20002.cha, line 23 · Jun 2;00
  2. kore nan ya ? %mov:"20002"_15589_16397 FAT · japanese_ishii/20002.cha, line 24 · Jun 2;00
  3. <kore> [<] nan da,, kore wa . %mov:"20002"_66552_67783 FAT · japanese_ishii/20002.cha, line 75 · Jun 2;00
  4. kore wa nan da, kore wa . %mov:"20002"_112381_113482 FAT · japanese_ishii/20002.cha, line 116 · Jun 2;00
  5. ae, nan da ? %mov:"20002"_247222_251026 FAT · japanese_ishii/20002.cha, line 227 · Jun 2;00
  6. kore nan daro ? %mov:"20002"_301559_302235 FAT · japanese_ishii/20002.cha, line 268 · Jun 2;00
  7. kore nan da ? %mov:"20002"_319872_320466 FAT · japanese_ishii/20002.cha, line 289 · Jun 2;00
  8. nan da,, kore wa . %mov:"20002"_406001_406745 FAT · japanese_ishii/20002.cha, line 364 · Jun 2;00
  9. nan daro,, sore . %mov:"20002"_511772_513559 FAT · japanese_ishii/20002.cha, line 459 · Jun 2;00
  10. sore nan daro ? %mov:"20002"_600540_600540 FAT · japanese_ishii/20002.cha, line 521 · Jun 2;00
  1. japanese_ishii/20002.cha, line 23 · Jun, 2;0.02
    FATa waa, sugoi naa . %mov:"20002"_11573_14798
    CHIn [>] ? %mov:"20002"_14798_15589
    FAT*FAT: kore nan yatta [>] ? %mov:"20002"_14798_15589
    FATkore nan ya ? %mov:"20002"_15589_16397
    CHIbubuu ya . %mov:"20002"_16397_18210
  2. japanese_ishii/20002.cha, line 24 · Jun, 2;0.02
    CHIn [>] ? %mov:"20002"_14798_15589
    FATkore nan yatta [>] ? %mov:"20002"_14798_15589
    FAT*FAT: kore nan ya ? %mov:"20002"_15589_16397
    CHIbubuu ya . %mov:"20002"_16397_18210
    FATbubuu@o ka . %mov:"20002"_18210_18871
  3. japanese_ishii/20002.cha, line 75 · Jun, 2;0.02
    FATsore kowai no ? %mov:"20002"_65426_66552
    CHIhora [>] . %mov:"20002"_66552_67783
    FAT*FAT: <kore> [<] nan da,, kore wa . %mov:"20002"_66552_67783
    CHImeme ya . %mov:"20002"_67783_68815
    FATe ? %mov:"20002"_68815_69670
  4. japanese_ishii/20002.cha, line 116 · Jun, 2;0.02
    CHIaa ? %mov:"20002"_109632_111468
    FATnaan da . %mov:"20002"_111468_112381
    FAT*FAT: kore wa nan da, kore wa . %mov:"20002"_112381_113482
    CHIjiiwa . %mov:"20002"_113482_115302
    FATe ? %mov:"20002"_115302_115852
  5. japanese_ishii/20002.cha, line 227 · Jun, 2;0.02
    CHIxxx ya [<] . %mov:"20002"_245232_246167
    FATae ? %mov:"20002"_246167_247222
    FAT*FAT: ae, nan da ? %mov:"20002"_247222_251026
    CHIwanwan buubuubuu . %mov:"20002"_251026_253519
    FATaa, buubuu@o butasan ya ne . %mov:"20002"_253519_255006
  6. japanese_ishii/20002.cha, line 268 · Jun, 2;0.02
    FATyoo [: yoku] shitten nee . %mov:"20002"_300214_301002
    CHIkoe a ? %mov:"20002"_301002_301559
    FAT*FAT: kore nan daro ? %mov:"20002"_301559_302235
    CHIau . %mov:"20002"_302235_303997
    CHIchutchu . %mov:"20002"_303997_303997
  7. japanese_ishii/20002.cha, line 289 · Jun, 2;0.02
    CHIn [>] ? %mov:"20002"_319063_319872
    FATwa [<] ? %mov:"20002"_319063_319872
    FAT*FAT: kore nan da ? %mov:"20002"_319872_320466
    CHIjiaa . %mov:"20002"_320466_320466
    FATjaa@o, tsurara ya ne . %mov:"20002"_321967_324537
  8. japanese_ishii/20002.cha, line 364 · Jun, 2;0.02
    CHIi . %mov:"20002"_402599_403258
    CHIhora . %mov:"20002"_403258_403258
    FAT*FAT: nan da,, kore wa . %mov:"20002"_406001_406745
    CHIaa aa chi . %mov:"20002"_406745_409141
    FATun . %mov:"20002"_409141_409563
  9. japanese_ishii/20002.cha, line 459 · Jun, 2;0.02
    FATbuubuu@o ka ? %mov:"20002"_510292_511194
    CHIoe a ? %mov:"20002"_511194_511772
    FAT*FAT: nan daro,, sore . %mov:"20002"_511772_513559
    FATtorakku ya ro ? %mov:"20002"_513559_514259
    FATchigau ? %mov:"20002"_514259_514994
  10. japanese_ishii/20002.cha, line 521 · Jun, 2;0.02
    CHIkoe a ? %mov:"20002"_596475_597225
    CHIkoe a ? %mov:"20002"_597225_600540
    FAT*FAT: sore nan daro ? %mov:"20002"_600540_600540
    CHImaaku . %mov:"20002"_601626_605787
    FATe ? %mov:"20002"_605787_606370

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_ishii9.46
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20002.chaJun 2;0.021,05710109.46

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. nan10 · 100.0%