PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

13.08 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (259 utterances, 535 words searched).

  1. toto, soosoo . %mov:"10816"_43313_44537 FAT · japanese_ishii/10816.cha, line 49 · Jun 1;08
  2. soosoo, wanwan@o ga mamma tabeteru nee . %mov:"10816"_67567_70160 FAT · japanese_ishii/10816.cha, line 74 · Jun 1;08
  3. soosoo . %mov:"10816"_270530_270881 FAT · japanese_ishii/10816.cha, line 264 · Jun 1;08
  4. soosoo [<] . %mov:"10816"_280328_280328 FAT · japanese_ishii/10816.cha, line 280 · Jun 1;08
  5. soosoo . %mov:"10816"_281966_282729 FAT · japanese_ishii/10816.cha, line 282 · Jun 1;08
  6. <soo> [>] soosoo . %mov:"10816"_306495_307437 FAT · japanese_ishii/10816.cha, line 306 · Jun 1;08
  7. soosoo [>] . %mov:"10816"_469501_472102 FAT · japanese_ishii/10816.cha, line 459 · Jun 1;08
  1. CHItoto [<] . %mov:"10816"_41500_41500
    CHItoto . %mov:"10816"_42769_43313
    FAT*FAT: toto, soosoo . %mov:"10816"_43313_44537
    FATosakana ya na [>] . %mov:"10816"_44537_45498
    CHIxxx [<] . %mov:"10816"_44537_45498
  2. FATkore wa ? %mov:"10816"_65423_65920
    CHImamma . %mov:"10816"_65920_67567
    FAT*FAT: soosoo, wanwan@o ga mamma tabeteru nee . %mov:"10816"_67567_70160
    FATkore nani ? %mov:"10816"_70160_71615
    CHIaawaawaaei . %mov:"10816"_71615_74915
  3. CHIboou . %mov:"10816"_268767_269931
    FATbasu . %mov:"10816"_269931_270530
    FAT*FAT: soosoo . %mov:"10816"_270530_270881
    FATbasu [>] . %mov:"10816"_270881_271370
    CHIhoa [<] . %mov:"10816"_270881_271370
  4. FATbaasu . %mov:"10816"_279591_280328
    CHIbaapu [>] . %mov:"10816"_280328_280328
    FAT*FAT: soosoo [<] . %mov:"10816"_280328_280328
    FATbaasu . %mov:"10816"_281374_281966
    FATsoosoo . %mov:"10816"_281966_282729
  5. FATsoosoo [<] . %mov:"10816"_280328_280328
    FATbaasu . %mov:"10816"_281374_281966
    FAT*FAT: soosoo . %mov:"10816"_281966_282729
    FATkore nani ? %mov:"10816"_282729_282729
    CHIwaawa . %mov:"10816"_284454_286238
  6. FATgujuguju@o wa ? %mov:"10816"_302731_303743
    FATguchuguchuu@o doko itta ? %mov:"10816"_303743_306495
    FAT*FAT: <soo> [>] soosoo . %mov:"10816"_306495_307437
    CHIaitata [<] . %mov:"10816"_306495_307437
    FATun . %mov:"10816"_307437_307931
  7. FATuun . %mov:"10816"_467808_468327
    CHIuuye ! %mov:"10816"_468327_469501
    FAT*FAT: soosoo [>] . %mov:"10816"_469501_472102
    CHI<uu> [<] uu . %mov:"10816"_469501_472102
    CHIbuubuububu <buu> [>] . %mov:"10816"_472102_478183

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_ishii13.08
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10816.chaJun 1;8.165357713.08

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. soosoo7 · 100.0%