PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.81 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (720 utterances, 1,780 words searched).

  1. iyaa, zembu hikkurikaetta . %mov:"30112"_834259_838181 FAT · japanese_ishii/30112.cha, line 470 · Jun 3;01
  2. kore zembu soo yo . %mov:"30112"_2012105_2012940 FAT · japanese_ishii/30112.cha, line 1247 · Jun 3;01
  3. ato zembu paa . %mov:"30112"_2280775_2281687 FAT · japanese_ishii/30112.cha, line 1446 · Jun 3;01
  4. zembu [<] paa shite . %mov:"30112"_2284088_2285771 FAT · japanese_ishii/30112.cha, line 1450 · Jun 3;01
  5. zembu paa shitegoran ? %mov:"30112"_2285771_2287618 FAT · japanese_ishii/30112.cha, line 1451 · Jun 3;01
  1. CHIkore wa ? %mov:"30112"_830926_833297
    FATmuttsu +... %mov:"30112"_833297_834259
    FAT*FAT: iyaa, zembu hikkurikaetta . %mov:"30112"_834259_838181
    CHImittsu +... %mov:"30112"_838181_843331
    CHIanona +... %mov:"30112"_843331_844670
  2. CHIun . %mov:"30112"_2009532_2009953
    FATna ? %mov:"30112"_2009953_2012105
    FAT*FAT: kore zembu soo yo . %mov:"30112"_2012105_2012940
    FATyoru ni nattara na # nenne dekiru nya de . %mov:"30112"_2012940_2015278
    CHIano +... %mov:"30112"_2015278_2015954
  3. CHIkoo shita xxx [>] . %mov:"30112"_2278670_2280775
    FATun, koo, hai [<] .%mov:"30112"_2278670_2280775
    FAT*FAT: ato zembu paa . %mov:"30112"_2280775_2281687
    FATkore dake koo . %mov:"30112"_2281687_2282994
    CHIn ? %mov:"30112"_2282994_2284088
  4. CHIn ? %mov:"30112"_2282994_2284088
    CHIkoo shite [>] ? %mov:"30112"_2284088_2285771
    FAT*FAT: zembu [<] paa shite . %mov:"30112"_2284088_2285771
    FATzembu paa shitegoran ? %mov:"30112"_2285771_2287618
    FATpaa . %mov:"30112"_2287618_2288652
  5. CHIkoo shite [>] ? %mov:"30112"_2284088_2285771
    FATzembu [<] paa shite . %mov:"30112"_2284088_2285771
    FAT*FAT: zembu paa shitegoran ? %mov:"30112"_2285771_2287618
    FATpaa . %mov:"30112"_2287618_2288652
    FAThonde koo sun ne . %mov:"30112"_2288652_2289312

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_ishii2.81
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30112.chaJun 3;1.121,780552.81

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. zembu5 · 100.0%