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. yottsu wa dekiru ka ? %mov:"30029"_2280933_2281872 FAT · japanese_ishii/30029.cha, line 1105 · Jun 3;00
  2. yottsu . %mov:"30029"_2283659_2284468 FAT · japanese_ishii/30029.cha, line 1107 · Jun 3;00
  3. hai, yottsu . %mov:"30029"_2287930_2291308 FAT · japanese_ishii/30029.cha, line 1111 · Jun 3;00
  4. yottsu ya,, koo ya . %mov:"30029"_2291308_2293219 FAT · japanese_ishii/30029.cha, line 1112 · Jun 3;00
  5. yottsu wa kantan yaro ? %mov:"30029"_2293219_2295804 FAT · japanese_ishii/30029.cha, line 1113 · Jun 3;00
  1. FATaa [<] mittsu . %mov:"30029"_2277427_2279826
    FATaa mittsu . %mov:"30029"_2279826_2280933
    FAT*FAT: yottsu wa dekiru ka ? %mov:"30029"_2280933_2281872
    CHIshitemi,, kotchi . %mov:"30029"_2281872_2283659
    FATyottsu . %mov:"30029"_2283659_2284468
  2. FATyottsu wa dekiru ka ? %mov:"30029"_2280933_2281872
    CHIshitemi,, kotchi . %mov:"30029"_2281872_2283659
    FAT*FAT: yottsu . %mov:"30029"_2283659_2284468
    CHIkoo sun nya . %mov:"30029"_2284468_2286878
    FATa, soo ka . %mov:"30029"_2286878_2287400
  3. FATa, soo ka . %mov:"30029"_2286878_2287400
    FATsore mittsu ya . %mov:"30029"_2287400_2287930
    FAT*FAT: hai, yottsu . %mov:"30029"_2287930_2291308
    FATyottsu ya,, koo ya . %mov:"30029"_2291308_2293219
    FATyottsu wa kantan yaro ? %mov:"30029"_2293219_2295804
  4. FATsore mittsu ya . %mov:"30029"_2287400_2287930
    FAThai, yottsu . %mov:"30029"_2287930_2291308
    FAT*FAT: yottsu ya,, koo ya . %mov:"30029"_2291308_2293219
    FATyottsu wa kantan yaro ? %mov:"30029"_2293219_2295804
    FATkoo ya . %mov:"30029"_2295804_2296630
  5. FAThai, yottsu . %mov:"30029"_2287930_2291308
    FATyottsu ya,, koo ya . %mov:"30029"_2291308_2293219
    FAT*FAT: yottsu wa kantan yaro ? %mov:"30029"_2293219_2295804
    FATkoo ya . %mov:"30029"_2295804_2296630
    FATiitsutsu . %mov:"30029"_2296630_2298005

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. yottsu5 · 100.0%