PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

4.75 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (707 utterances, 1,893 words searched).

  1. hai, Serika notekudasaai . %mov:"30119"_531334_532864 FAT · japanese_ishii/30119.cha, line 173 · Jun 3;01
  2. Serika desu kedo ? %mov:"30119"_565322_567269 FAT · japanese_ishii/30119.cha, line 192 · Jun 3;01
  3. Serika chau yan,, kore [<] . %mov:"30119"_614652_617148 FAT · japanese_ishii/30119.cha, line 216 · Jun 3;01
  4. mohitotsu Serika atta nee . %mov:"30119"_641735_655253 FAT · japanese_ishii/30119.cha, line 231 · Jun 3;01
  5. Serika atta nee, mohitotsu . %mov:"30119"_658518_659713 FAT · japanese_ishii/30119.cha, line 234 · Jun 3;01
  6. Serika mohitotsu doko itta ? %mov:"30119"_669803_674645 FAT · japanese_ishii/30119.cha, line 240 · Jun 3;01
  7. Serika nai yan . %mov:"30119"_699366_700640 FAT · japanese_ishii/30119.cha, line 248 · Jun 3;01
  8. Serika atta . %mov:"30119"_900852_900852 FAT · japanese_ishii/30119.cha, line 364 · Jun 3;01
  9. Serika tabeyo ka . %mov:"30119"_1325788_1326992 FAT · japanese_ishii/30119.cha, line 573 · Jun 3;01
  1. japanese_ishii/30119.cha, line 173 · Jun, 3;1.19
    CHItodokahen ka . %mov:"30119"_528767_530202
    FATtodokahen wa . %mov:"30119"_530202_531334
    FAT*FAT: hai, Serika notekudasaai . %mov:"30119"_531334_532864
    CHIiya . %mov:"30119"_532864_533543
    CHISerika norahen . %mov:"30119"_533543_534864
  2. japanese_ishii/30119.cha, line 192 · Jun, 3;1.19
    CHInottekudasai . %mov:"30119"_560631_562446
    CHISerika desu kedo . %mov:"30119"_562446_565322
    FAT*FAT: Serika desu kedo ? %mov:"30119"_565322_567269
    CHIun . %mov:"30119"_567269_568271
    FATdotchi non no . %mov:"30119"_568271_568825
  3. japanese_ishii/30119.cha, line 216 · Jun, 3;1.19
    FATe ? %mov:"30119"_614049_614652
    CHImittsu mo xxx [>] . %mov:"30119"_614652_617148
    FAT*FAT: Serika chau yan,, kore [<] . %mov:"30119"_614652_617148
    FATkore nan yatta ? %mov:"30119"_617148_617764
    CHIPorushe . %mov:"30119"_617764_619099
  4. japanese_ishii/30119.cha, line 231 · Jun, 3;1.19
    CHIJunkun tsukamaeru shi . %mov:"30119"_638489_640617
    FATJunkun ga tsukamaeru ? %mov:"30119"_640617_641735
    FAT*FAT: mohitotsu Serika atta nee . %mov:"30119"_641735_655253
    CHIn ? %mov:"30119"_655253_656580
    CHImohitotsu Seri +... %mov:"30119"_656580_658518
  5. japanese_ishii/30119.cha, line 234 · Jun, 3;1.19
    CHIn ? %mov:"30119"_655253_656580
    CHImohitotsu Seri +... %mov:"30119"_656580_658518
    FAT*FAT: Serika atta nee, mohitotsu . %mov:"30119"_658518_659713
    FATdoko itta ? %mov:"30119"_659713_660260
    CHIdoko itta . %mov:"30119"_660260_663422
  6. japanese_ishii/30119.cha, line 240 · Jun, 3;1.19
    FATkore nani yatta ka na . %mov:"30119"_665257_666217
    CHIxxx # Serika . %mov:"30119"_666217_669803
    FAT*FAT: Serika mohitotsu doko itta ? %mov:"30119"_669803_674645
    FATnai wa . %mov:"30119"_674645_676564
    CHIPoru +... %mov:"30119"_676564_677761
  7. japanese_ishii/30119.cha, line 248 · Jun, 3;1.19
    FATxxx ya . %mov:"30119"_696269_698415
    CHIxxx . %mov:"30119"_698415_699366
    FAT*FAT: Serika nai yan . %mov:"30119"_699366_700640
    FATkore ee wa . %mov:"30119"_700640_701532
    CHIxxx . %mov:"30119"_701532_715618
  8. japanese_ishii/30119.cha, line 364 · Jun, 3;1.19
    MOThayo [<] hayo . %mov:"30119"_896856_899411
    CHImohitotsu . %mov:"30119"_899411_900852
    FAT*FAT: Serika atta . %mov:"30119"_900852_900852
    FAThai [>] . %mov:"30119"_900852_902238
    CHISerika [<] . %mov:"30119"_900852_902238
  9. japanese_ishii/30119.cha, line 573 · Jun, 3;1.19
    FATdore tabeyo ka na . %mov:"30119"_1323798_1324890
    CHIbaan@o . %mov:"30119"_1324890_1325788
    FAT*FAT: Serika tabeyo ka . %mov:"30119"_1325788_1326992
    FATgabuu@o . %mov:"30119"_1326992_1328034
    CHImitchu [: mittsu] an no . %mov:"30119"_1328034_1330342

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_ishii4.75
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30119.chaJun 3;1.191,893994.75

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. serika9 · 100.0%