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. koko mo . %mov:"20002"_224871_225561 FAT · japanese_ishii/20002.cha, line 205 · Jun 2;00
  2. un, koko mo ? %mov:"20002"_262588_263751 FAT · japanese_ishii/20002.cha, line 237 · Jun 2;00
  3. un, koko mo . %mov:"20002"_420111_421062 FAT · japanese_ishii/20002.cha, line 378 · Jun 2;00
  4. koko mo kitsune ga iru . %mov:"20002"_421062_423009 FAT · japanese_ishii/20002.cha, line 379 · Jun 2;00
  5. un, koko mo [<] . %mov:"20002"_468498_470594 FAT · japanese_ishii/20002.cha, line 420 · Jun 2;00
  6. densha koko ya . %mov:"20002"_534474_534474 FAT · japanese_ishii/20002.cha, line 478 · Jun 2;00
  7. koko nai ne . %mov:"20002"_742735_744222 FAT · japanese_ishii/20002.cha, line 606 · Jun 2;00
  8. koko kaite . %mov:"20002"_837084_837829 FAT · japanese_ishii/20002.cha, line 667 · Jun 2;00
  9. <motto> [<] koko koo motana dame, koo . %mov:"20002"_866295_869190 FAT · japanese_ishii/20002.cha, line 693 · Jun 2;00
  10. koo, koko . %mov:"20002"_902142_903499 FAT · japanese_ishii/20002.cha, line 715 · Jun 2;00
  1. CHIn ? %mov:"20002"_220924_222085
    CHIkoko mo . %mov:"20002"_222085_224871
    FAT*FAT: koko mo . %mov:"20002"_224871_225561
    FATkore yuki to chigau nee . %mov:"20002"_225561_227195
    CHIn [>] ? %mov:"20002"_227195_228373
  2. FATkore een'een yuuteru no . %mov:"20002"_259803_261175
    CHIkoko mo . %mov:"20002"_261175_261175
    FAT*FAT: un, koko mo ? %mov:"20002"_262588_263751
    CHIkii . %mov:"20002"_263751_264786
    FATgii@o shiten no . %mov:"20002"_264786_266119
  3. FATun . %mov:"20002"_419127_419695
    CHIkoko mo . %mov:"20002"_419695_420111
    FAT*FAT: un, koko mo . %mov:"20002"_420111_421062
    FATkoko mo kitsune ga iru . %mov:"20002"_421062_423009
    CHIan an an ko . %mov:"20002"_423009_424655
  4. CHIkoko mo . %mov:"20002"_419695_420111
    FATun, koko mo . %mov:"20002"_420111_421062
    FAT*FAT: koko mo kitsune ga iru . %mov:"20002"_421062_423009
    CHIan an an ko . %mov:"20002"_423009_424655
    CHIakan . %mov:"20002"_424655_426716
  5. FATun . %mov:"20002"_467744_468498
    CHIkoko mo [>] . %mov:"20002"_468498_470594
    FAT*FAT: un, koko mo [<] . %mov:"20002"_468498_470594
    CHImimi ya . %mov:"20002"_470594_471300
    FATmimi ya . %mov:"20002"_471300_472182
  6. CHIaa . %mov:"20002"_531455_532976
    FATdensha . %mov:"20002"_532976_534474
    FAT*FAT: densha koko ya . %mov:"20002"_534474_534474
    FATdensha noru ? %mov:"20002"_536198_551120
    CHIaa tte . %mov:"20002"_551120_554117
  7. FATa, kubi ga nai ne . %mov:"20002"_738700_740902
    CHIn ? %mov:"20002"_740902_742735
    FAT*FAT: koko nai ne . %mov:"20002"_742735_744222
    CHIn ? %mov:"20002"_744222_746619
    FATdoko itta no ? %mov:"20002"_746619_747543
  8. CHIn [>] ? %mov:"20002"_835656_837084
    FAT<sore wa> [<] kakenai wa . %mov:"20002"_835656_837084
    FAT*FAT: koko kaite . %mov:"20002"_837084_837829
    FATsore kakenai yo . %mov:"20002"_837829_839318
    FATshiro wa dame ya . %mov:"20002"_839318_840428
  9. FATun . %mov:"20002"_865864_866295
    CHIakan [>] ? %mov:"20002"_866295_869190
    FAT*FAT: <motto> [<] koko koo motana dame, koo . %mov:"20002"_866295_869190
    FAThai, sooto kaite . %mov:"20002"_869190_871735
    FATo, kaketa ? %mov:"20002"_871735_874501
  10. FATmottegoran . %mov:"20002"_901208_901629
    FATkashitegoran . %mov:"20002"_901629_902142
    FAT*FAT: koo, koko . %mov:"20002"_902142_903499
    CHIkoko ? %mov:"20002"_903499_905218
    FATun . %mov:"20002"_905218_905684

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. koko10 · 100.0%