PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

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

  1. dore yatta ka ne,, funya@o tto magan no wa ? %mov:"30029"_490916_496607 FAT · japanese_ishii/30029.cha, line 281 · Jun 3;00
  2. nani yatta ? %mov:"30029"_2982578_2983695 FAT · japanese_ishii/30029.cha, line 1444 · Jun 3;00
  3. hikooki yatta . %mov:"30029"_2986016_2986898 FAT · japanese_ishii/30029.cha, line 1446 · Jun 3;00
  4. sore nan chuu [: to yuu] kuruma yatta ? %mov:"30029"_3050783_3052183 FAT · japanese_ishii/30029.cha, line 1484 · Jun 3;00
  5. Maseratti yatta . %mov:"30029"_3061349_3062540 FAT · japanese_ishii/30029.cha, line 1490 · Jun 3;00
  6. Maseratti yatta nee . %mov:"30029"_3063491_3067089 FAT · japanese_ishii/30029.cha, line 1492 · Jun 3;00
  7. kore wa nan yatta ka na ? %mov:"30029"_3067713_3069271 FAT · japanese_ishii/30029.cha, line 1494 · Jun 3;00
  1. FATkyariakaa o noken to . %mov:"30029"_486951_489140
    FATmawaru ka ? %mov:"30029"_489140_490916
    FAT*FAT: dore yatta ka ne,, funya@o tto magan no wa ? %mov:"30029"_490916_496607
    CHIkore ya . %mov:"30029"_496607_504520
    FATso ya [/] so ya . %mov:"30029"_504520_504992
  2. CHInai wa . %mov:"30029"_2977618_2981165
    FATchigatta ? %mov:"30029"_2981165_2982578
    FAT*FAT: nani yatta ? %mov:"30029"_2982578_2983695
    CHIhikooki yatta . %mov:"30029"_2983695_2986016
    FAThikooki yatta . %mov:"30029"_2986016_2986898
  3. FATnani yatta ? %mov:"30029"_2982578_2983695
    CHIhikooki yatta . %mov:"30029"_2983695_2986016
    FAT*FAT: hikooki yatta . %mov:"30029"_2986016_2986898
    CHIbechabecha@o chau wa . %mov:"30029"_2986898_2989179
    FATchigau ka ? %mov:"30029"_2989179_2989908
  4. FATnani ga magatteru ? %mov:"30029"_3046858_3047988
    CHIkore ga magatteru . %mov:"30029"_3047988_3050783
    FAT*FAT: sore nan chuu [: to yuu] kuruma yatta ? %mov:"30029"_3050783_3052183
    CHIano naa, na [/-] Dansaa [= Ransaa] . %mov:"30029"_3052183_3054500
    FATe ? %mov:"30029"_3054500_3054945
  5. FATMaseratti . %mov:"30029"_3055925_3059818
    CHIMaserattii . %mov:"30029"_3059818_3061349
    FAT*FAT: Maseratti yatta . %mov:"30029"_3061349_3062540
    FATwasureteta . %mov:"30029"_3062540_3063491
    FATMaseratti yatta nee . %mov:"30029"_3063491_3067089
  6. FATMaseratti yatta . %mov:"30029"_3061349_3062540
    FATwasureteta . %mov:"30029"_3062540_3063491
    FAT*FAT: Maseratti yatta nee . %mov:"30029"_3063491_3067089
    CHInani ga +... %mov:"30029"_3067089_3067713
    FATkore wa nan yatta ka na ? %mov:"30029"_3067713_3069271
  7. FATMaseratti yatta nee . %mov:"30029"_3063491_3067089
    CHInani ga +... %mov:"30029"_3067089_3067713
    FAT*FAT: kore wa nan yatta ka na ? %mov:"30029"_3067713_3069271
    CHIkiitemi,, nani ga hashiri +... %mov:"30029"_3069271_3070856
    FATkore wa Porushe . %mov:"30029"_3070856_3071521

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_ishii3.80
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/30029.chaJun 3;0.291,844773.80

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. yatta7 · 100.0%