PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

5.35 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (383 utterances, 935 words searched).

  1. dooomonai na ? %mov:"20017"_136177_138786 FAT · japanese_ishii/20017.cha, line 102 · Jun 2;00
  2. doko itta ka na, piipoopiipoo@o . %mov:"20017"_390638_393088 FAT · japanese_ishii/20017.cha, line 259 · Jun 2;00
  3. doko yatta ka na ? %mov:"20017"_404566_405828 FAT · japanese_ishii/20017.cha, line 265 · Jun 2;00
  4. chigau na . %mov:"20017"_694144_694616 FAT · japanese_ishii/20017.cha, line 430 · Jun 2;00
  5. nan ya na . %mov:"20017"_694616_695432 FAT · japanese_ishii/20017.cha, line 431 · Jun 2;00
  1. FATmee ! %mov:"20017"_132404_133007
    CHIxxx . %mov:"20017"_133007_136177
    FAT*FAT: dooomonai na ? %mov:"20017"_136177_138786
    CHIn ? %mov:"20017"_138786_139915
    FATdaijoobu ya nee ? %mov:"20017"_139915_141270
  2. FATJunkun nottan dore ? %mov:"20017"_386121_387637
    FATJunkun piipoopiipoo@o notta ? %mov:"20017"_387637_390638
    FAT*FAT: doko itta ka na, piipoopiipoo@o . %mov:"20017"_390638_393088
    FATkotchi yatta ka ne ? %mov:"20017"_393088_394205
    FATare ? %mov:"20017"_394205_395874
  3. FATokashii naa . %mov:"20017"_398790_401108
    FATpiipoopiipoo@o atta nee ? %mov:"20017"_401108_404566
    FAT*FAT: doko yatta ka na ? %mov:"20017"_404566_405828
    CHInai yo . %mov:"20017"_405828_406849
    FATkore to shigau kyuukyuusha no hoo ? %mov:"20017"_406849_408558
  4. FATaa . %mov:"20017"_692160_692721
    FATofuton hoshitean no ka . %mov:"20017"_692721_694144
    FAT*FAT: chigau na . %mov:"20017"_694144_694616
    FATnan ya na . %mov:"20017"_694616_695432
    CHIachon . %mov:"20017"_695432_696598
  5. FATofuton hoshitean no ka . %mov:"20017"_692721_694144
    FATchigau na . %mov:"20017"_694144_694616
    FAT*FAT: nan ya na . %mov:"20017"_694616_695432
    CHIachon . %mov:"20017"_695432_696598
    FATofuton . %mov:"20017"_696598_697440

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_ishii5.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20017.chaJun 2;0.17935555.35

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. na5 · 100.0%