PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.71 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (717 utterances, 1,844 words searched).

  1. Junkun mo futatsu yan . %mov:"30029"_359859_362452 FAT · japanese_ishii/30029.cha, line 222 · Jun 3;00
  2. sore mo aka [/-] hairanai . %mov:"30029"_377038_378903 FAT · japanese_ishii/30029.cha, line 230 · Jun 3;00
  3. kotchi mo kowareten ne . %mov:"30029"_1708717_1709782 FAT · japanese_ishii/30029.cha, line 802 · Jun 3;00
  4. dare mo nottenai yan . %mov:"30029"_2642521_2643754 FAT · japanese_ishii/30029.cha, line 1293 · Jun 3;00
  5. kore mo issho ya . %mov:"30029"_2922072_2924033 FAT · japanese_ishii/30029.cha, line 1412 · Jun 3;00
  1. FATnandee . %mov:"30029"_358237_359263
    FATfutatsu yaro ? %mov:"30029"_359263_359859
    FAT*FAT: Junkun mo futatsu yan . %mov:"30029"_359859_362452
    CHIkoko ga hairu ne # baan@o . %mov:"30029"_362452_367458
    FATsonna toko hairanai wa,, ookii kara . %mov:"30029"_367458_369129
  2. FATna [>] ? %mov:"30029"_375187_377038
    CHIkotchi wa [<] ? %mov:"30029"_375187_377038
    FAT*FAT: sore mo aka [/-] hairanai . %mov:"30029"_377038_378903
    CHIhairu wa . %mov:"30029"_378903_380465
    FAThora . %mov:"30029"_380465_381104
  3. CHIaa ! %mov:"30029"_1705593_1707135
    FATkore ya . %mov:"30029"_1707135_1708717
    FAT*FAT: kotchi mo kowareten ne . %mov:"30029"_1708717_1709782
    CHIGurendaa ii@o daa@o . %mov:"30029"_1709782_1719611
    CHItonda ne . %mov:"30029"_1719611_1720301
  4. CHIdare notteru ? %mov:"30029"_2636824_2641793
    FATe ? %mov:"30029"_2641793_2642521
    FAT*FAT: dare mo nottenai yan . %mov:"30029"_2642521_2643754
    FATnotte # a, honto notten naa . %mov:"30029"_2643754_2645419
    CHIun ? %mov:"30029"_2645419_2646806
  5. FATroku ya . %mov:"30029"_2919751_2920312
    CHIdore ya . %mov:"30029"_2920312_2922072
    FAT*FAT: kore mo issho ya . %mov:"30029"_2922072_2924033
    FATroku ya . %mov:"30029"_2924033_2924640
    FATna ? %mov:"30029"_2924640_2926242

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_ishii2.71
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30029.chaJun 3;0.291,844552.71

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. mo5 · 100.0%