PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

7.32 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (388 utterances, 956 words searched).

  1. sore, un . %mov:"20205"_129802_130767 FAT · japanese_ishii/20205.cha, line 75 · Jun 2;02
  2. sore poposhusshu@o no gohon ka ? %mov:"20205"_130767_130767 FAT · japanese_ishii/20205.cha, line 76 · Jun 2;02
  3. ookii no,, sore ? %mov:"20205"_167144_168363 FAT · japanese_ishii/20205.cha, line 104 · Jun 2;02
  4. sore chiisai no ? %mov:"20205"_177530_178541 FAT · japanese_ishii/20205.cha, line 111 · Jun 2;02
  5. aa, sore ookii no ? %mov:"20205"_184156_186470 FAT · japanese_ishii/20205.cha, line 119 · Jun 2;02
  6. sore tozandensha . %mov:"20205"_562563_564103 FAT · japanese_ishii/20205.cha, line 362 · Jun 2;02
  7. Junkun, sore ashi de shitara dame . %mov:"20205"_1151319_1152709 FAT · japanese_ishii/20205.cha, line 623 · Jun 2;02
  1. FATpoposhusshu@o atta no . %mov:"20205"_126595_128055
    CHIpoposhushu atta no . %mov:"20205"_128055_129802
    FAT*FAT: sore, un . %mov:"20205"_129802_130767
    FATsore poposhusshu@o no gohon ka ? %mov:"20205"_130767_130767
    CHIpoposhushu naa . %mov:"20205"_132212_134525
  2. CHIpoposhushu atta no . %mov:"20205"_128055_129802
    FATsore, un . %mov:"20205"_129802_130767
    FAT*FAT: sore poposhusshu@o no gohon ka ? %mov:"20205"_130767_130767
    CHIpoposhushu naa . %mov:"20205"_132212_134525
    CHInoite # are . %mov:"20205"_134525_136066
  3. FATpoposhusshu ikutsu aru ? %mov:"20205"_164149_165786
    CHIooki yo . %mov:"20205"_165786_167144
    FAT*FAT: ookii no,, sore ? %mov:"20205"_167144_168363
    CHIokki shoo [: deshoo] . %mov:"20205"_168363_169414
    FATun . %mov:"20205"_169414_169960
  4. FATchiisai no dore ? %mov:"20205"_171617_175889
    CHIchiishaa . %mov:"20205"_175889_177530
    FAT*FAT: sore chiisai no ? %mov:"20205"_177530_178541
    CHIchiisha [>] . %mov:"20205"_178541_179708
    FATchiisai nee [<] . %mov:"20205"_178541_179708
  5. FATchiisai nee . %mov:"20205"_181913_182997
    FATookii no dore ? %mov:"20205"_182997_182997
    FAT*FAT: aa, sore ookii no ? %mov:"20205"_184156_186470
    FATuun . %mov:"20205"_186470_189082
    CHIxxx . %mov:"20205"_189082_191321
  6. CHIensha [<] . %mov:"20205"_560387_562022
    CHIoe wa ? %mov:"20205"_562022_562563
    FAT*FAT: sore tozandensha . %mov:"20205"_562563_564103
    FATkeeburukaa ya . %mov:"20205"_564103_565629
    CHIuun itai naa [>] . %mov:"20205"_565629_569575
  7. FAThaai, konnan dekimashita . %mov:"20205"_1147814_1150223
    FATmoo ashi de shitara dame . %mov:"20205"_1150223_1151319
    FAT*FAT: Junkun, sore ashi de shitara dame . %mov:"20205"_1151319_1152709
    FATkowareteshimau yo . %mov:"20205"_1152709_1153663
    FATbuubuu@o kowareru yo,, ashi de shitara . %mov:"20205"_1153663_1156713

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_ishii7.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20205.chaJun 2;2.05956777.32

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. sore7 · 100.0%