PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

25.86 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (212 utterances, 348 words searched).

  1. doko iku no ya [: da] anta . %mov:"01004"_577028_579856 FAT · japanese_ishii/01004.cha, line 245 · Jun 0;10
  2. nani (o) min [: miru] no . %mov:"01004"_612538_613683 FAT · japanese_ishii/01004.cha, line 279 · Jun 0;10
  3. nani ga mieten [: mieteiru] no ? %mov:"01004"_642310_647033 FAT · japanese_ishii/01004.cha, line 290 · Jun 0;10
  4. a, dare ka yahan [: iru] no . %mov:"01004"_647033_649332 FAT · japanese_ishii/01004.cha, line 292 · Jun 0;10
  5. doko iku no . %mov:"01004"_660441_664342 FAT · japanese_ishii/01004.cha, line 299 · Jun 0;10
  6. doko iku no . %mov:"01004"_664342_667241 FAT · japanese_ishii/01004.cha, line 300 · Jun 0;10
  7. doko (e) iku no . %mov:"01004"_670047_672328 FAT · japanese_ishii/01004.cha, line 303 · Jun 0;10
  8. doko iku no ? %mov:"01004"_755829_757209 FAT · japanese_ishii/01004.cha, line 333 · Jun 0;10
  9. kore (ga) ii no . %mov:"01004"_780600_781553 FAT · japanese_ishii/01004.cha, line 343 · Jun 0;10
  1. japanese_ishii/01004.cha, line 245 · Jun, 0;10.04
    FATte hanashu [: hanasu] yoo . %mov:"01004"_565977_567658
    FATte hanashu [: hanasu] yoo . %mov:"01004"_567658_570055
    FAT*FAT: doko iku no ya [: da] anta . %mov:"01004"_577028_579856
    FATsaa, kotchi ya [: da] . %mov:"01004"_579856_581504
    FAThoi ! %mov:"01004"_581504_582319
  2. japanese_ishii/01004.cha, line 279 · Jun, 0;10.04
    FATo ! %mov:"01004"_609367_610161
    FATnani mo miehen [: mienai] desho ? %mov:"01004"_610161_612538
    FAT*FAT: nani (o) min [: miru] no . %mov:"01004"_612538_613683
    FATo ! %mov:"01004"_613683_618699
    FATa ! %mov:"01004"_618699_619919
  3. japanese_ishii/01004.cha, line 290 · Jun, 0;10.04
    FATyokkorasho . %mov:"01004"_639211_640690
    FATxxx . %mov:"01004"_640690_642310
    FAT*FAT: nani ga mieten [: mieteiru] no ? %mov:"01004"_642310_647033
    FATa, dare ka yahan [: iru] no . %mov:"01004"_647033_649332
    FATdare ka na . %mov:"01004"_649332_650972
  4. japanese_ishii/01004.cha, line 292 · Jun, 0;10.04
    FATxxx . %mov:"01004"_640690_642310
    FATnani ga mieten [: mieteiru] no ? %mov:"01004"_642310_647033
    FAT*FAT: a, dare ka yahan [: iru] no . %mov:"01004"_647033_649332
    FATdare ka na . %mov:"01004"_649332_650972
    FATe joojujooju [: jouzu] [>] . %mov:"01004"_650972_659000
  5. japanese_ishii/01004.cha, line 299 · Jun, 0;10.04
    CHIuujeje [<] . %mov:"01004"_650972_659000
    FATxxx tatchitatchii . %mov:"01004"_659000_660441
    FAT*FAT: doko iku no . %mov:"01004"_660441_664342
    FATdoko iku no . %mov:"01004"_664342_667241
    FATyoisho ! %mov:"01004"_667241_670047
  6. japanese_ishii/01004.cha, line 300 · Jun, 0;10.04
    FATxxx tatchitatchii . %mov:"01004"_659000_660441
    FATdoko iku no . %mov:"01004"_660441_664342
    FAT*FAT: doko iku no . %mov:"01004"_664342_667241
    FATyoisho ! %mov:"01004"_667241_670047
    FATdoko (e) iku no . %mov:"01004"_670047_672328
  7. japanese_ishii/01004.cha, line 303 · Jun, 0;10.04
    FATdoko iku no . %mov:"01004"_664342_667241
    FATyoisho ! %mov:"01004"_667241_670047
    FAT*FAT: doko (e) iku no . %mov:"01004"_670047_672328
    FATyoishoo . %mov:"01004"_672328_676040
    FATo ! %mov:"01004"_676040_676040
  8. japanese_ishii/01004.cha, line 333 · Jun, 0;10.04
    FATa, joozujoozu . %mov:"01004"_749813_754693
    FATjoozujoozu . %mov:"01004"_754693_755829
    FAT*FAT: doko iku no ? %mov:"01004"_755829_757209
    FATa, sore ka ? %mov:"01004"_763089_765522
    FAThaihai, yoshiyoshi . %mov:"01004"_765522_766751
  9. japanese_ishii/01004.cha, line 343 · Jun, 0;10.04
    FATyoisho . %mov:"01004"_775168_778992
    FAThai, kondo kashitage [: kashite+age] yo . %mov:"01004"_778992_780600
    FAT*FAT: kore (ga) ii no . %mov:"01004"_780600_781553
    FAThai . %mov:"01004"_781553_784201
    FATn ? %mov:"01004"_784201_787364

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_ishii25.86
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/01004.chaJun 0;10.043489925.86

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. no9 · 100.0%