PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.50 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (785 utterances, 2,003 words searched).

  1. Fuuji [: Fuji] te kaitaaru . %mov:"21029"_2979654_2981200 FAT · japanese_ishii/21029.cha, line 1383 · Jun 2;10
  2. Fuji ya . %mov:"21029"_2982768_2983506 FAT · japanese_ishii/21029.cha, line 1385 · Jun 2;10
  3. Fuji te kaitaaru . %mov:"21029"_3118848_3120506 FAT · japanese_ishii/21029.cha, line 1468 · Jun 2;10
  4. un, fune no name ga Fuji ya . %mov:"21029"_3124738_3126830 FAT · japanese_ishii/21029.cha, line 1472 · Jun 2;10
  5. kore mo Fuji . %mov:"21029"_3127745_3129552 FAT · japanese_ishii/21029.cha, line 1474 · Jun 2;10
  1. CHIgozero [= 50] +... %mov:"21029"_2976623_2977709
    CHInan ka kore kaitaaru [: haitteru] . %mov:"21029"_2977709_2979654
    FAT*FAT: Fuuji [: Fuji] te kaitaaru . %mov:"21029"_2979654_2981200
    CHIFujiji [: Fuji] xxx . %mov:"21029"_2981200_2982768
    FATFuji ya . %mov:"21029"_2982768_2983506
  2. FATFuuji [: Fuji] te kaitaaru . %mov:"21029"_2979654_2981200
    CHIFujiji [: Fuji] xxx . %mov:"21029"_2981200_2982768
    FAT*FAT: Fuji ya . %mov:"21029"_2982768_2983506
    CHIkore wa ? %mov:"21029"_2983506_2984334
    FAThata . %mov:"21029"_2984334_2985703
  3. FATun [<], soo . %mov:"21029"_3114521_3116058
    CHInan ka kore kaitaaru . %mov:"21029"_3116058_3118848
    FAT*FAT: Fuji te kaitaaru . %mov:"21029"_3118848_3120506
    CHIFuji . %mov:"21029"_3120506_3121553
    FATofune no namae ya . %mov:"21029"_3121553_3123124
  4. FATofune no namae ya . %mov:"21029"_3121553_3123124
    CHIkore ? %mov:"21029"_3123124_3124738
    FAT*FAT: un, fune no name ga Fuji ya . %mov:"21029"_3124738_3126830
    CHIkore wa ? %mov:"21029"_3126830_3127745
    FATkore mo Fuji . %mov:"21029"_3127745_3129552
  5. FATun, fune no name ga Fuji ya . %mov:"21029"_3124738_3126830
    CHIkore wa ? %mov:"21029"_3126830_3127745
    FAT*FAT: kore mo Fuji . %mov:"21029"_3127745_3129552
    FATissho yaro ? %mov:"21029"_3129552_3131179
    CHIkore wa ? %mov:"21029"_3131179_3132580

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/21029.chaJun 2;10.292,003552.50

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. fuji5 · 100.0%