PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.74 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (259 utterances, 535 words searched).

  1. buu@o aru nee . %mov:"10816"_379941_381222 FAT · japanese_ishii/10816.cha, line 371 · Jun 1;08
  2. <soo ya> [<] buu@o ya . %mov:"10816"_510050_513878 FAT · japanese_ishii/10816.cha, line 500 · Jun 1;08
  1. FATa, nani shiten no,, kono nyanko . %mov:"10816"_376781_379071
    CHIbuyo . %mov:"10816"_379071_379941
    FAT*FAT: buu@o aru nee . %mov:"10816"_379941_381222
    CHInyannyaa . %mov:"10816"_381222_383010
    FATnyannyaan . %mov:"10816"_383010_384108
  2. FATnani ga aa . %mov:"10816"_509262_510050
    CHIbuu uu <uu> [>] . %mov:"10816"_510050_513878
    FAT*FAT: <soo ya> [<] buu@o ya . %mov:"10816"_510050_513878
    CHIuu <uu> [>] . %mov:"10816"_513878_517159
    FATsugoi nee [<] . %mov:"10816"_513878_517159

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_ishii3.74
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10816.chaJun 1;8.16535223.74

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. buu2 · 100.0%