PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.50 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (790 utterances, 1,999 words searched).

  1. Jun wa konna chiisai no ga ii ka ? %mov:"20929"_457155_458145 FAT · japanese_ishii/20929.cha, line 237 · Jun 2;09
  2. dore ga ii ? %mov:"20929"_460979_462828 FAT · japanese_ishii/20929.cha, line 240 · Jun 2;09
  3. sore ii ka ? %mov:"20929"_476072_476941 FAT · japanese_ishii/20929.cha, line 245 · Jun 2;09
  4. boku nagai no ga ii . %mov:"20929"_481857_483170 FAT · japanese_ishii/20929.cha, line 251 · Jun 2;09
  5. boku wa dore ga ii no ? %mov:"20929"_704000_716385 FAT · japanese_ishii/20929.cha, line 390 · Jun 2;09
  1. FATJun wa ? %mov:"20929"_455200_455672
    CHIJunkun wa +... %mov:"20929"_455672_457155
    FAT*FAT: Jun wa konna chiisai no ga ii ka ? %mov:"20929"_457155_458145
    CHIiya . %mov:"20929"_458145_458774
    CHIchiisai no iya wa . %mov:"20929"_458774_460979
  2. CHIiya . %mov:"20929"_458145_458774
    CHIchiisai no iya wa . %mov:"20929"_458774_460979
    FAT*FAT: dore ga ii ? %mov:"20929"_460979_462828
    CHIeeto [/] eeto +... %mov:"20929"_462828_465506
    CHIeetto, kore takai ofuro # noseteru wa,, kore . %mov:"20929"_465506_474351
  3. FATuun ? %mov:"20929"_474351_474830
    CHIJunkun ii wa . %mov:"20929"_474830_476072
    FAT*FAT: sore ii ka ? %mov:"20929"_476072_476941
    CHIun . %mov:"20929"_476941_477400
    FATun . %mov:"20929"_477400_477847
  4. FATe [>] ? %mov:"20929"_479154_481857
    CHIboku [<] nagai no ga ii . %mov:"20929"_479154_481857
    FAT*FAT: boku nagai no ga ii . %mov:"20929"_481857_483170
    CHIun . %mov:"20929"_483170_483525
    CHInagai no wa ,, Junkun no nagai no [>] ? %mov:"20929"_483525_487438
  5. CHIbooru de xxx no ya de . %mov:"20929"_701915_704000
    FATfuun . %mov:"20929"_701915_704000
    FAT*FAT: boku wa dore ga ii no ? %mov:"20929"_704000_716385
    FATkore ga hoshii no ? %mov:"20929"_716385_717714
    CHIboku wa kore . %mov:"20929"_717714_719772

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_ishii2.50
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20929.chaJun 2;9.291,999552.50

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. ii5 · 100.0%