PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.01 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (405 utterances, 995 words searched).

  1. baan@o yararetaa . %mov:"20518"_1209133_1211261 FAT · japanese_ishii/20518.cha, line 517 · Jun 2;05
  2. baan@o ! %mov:"20518"_1566593_1568118 FAT · japanese_ishii/20518.cha, line 652 · Jun 2;05
  1. japanese_ishii/20518.cha, line 517 · Jun, 2;5.18
    FATIgirisu no basu ya . %mov:"20518"_1206228_1207231
    CHIbabaan@o . %mov:"20518"_1207231_1209133
    FAT*FAT: baan@o yararetaa . %mov:"20518"_1209133_1211261
    CHInani yuuteru ? %mov:"20518"_1211261_1216772
    FATe ? %mov:"20518"_1216772_1217308
  2. japanese_ishii/20518.cha, line 652 · Jun, 2;5.18
    CHIkonna xxx ,, kondo . %mov:"20518"_1539008_1561387
    CHIbabaan@o ! %mov:"20518"_1561387_1566593
    FAT*FAT: baan@o ! %mov:"20518"_1566593_1568118
    CHIhore yareretaa [: yarareta] . %mov:"20518"_1568118_1572201
    CHIbabaan@o ! %mov:"20518"_1572201_1576546

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_ishii2.01
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20518.chaJun 2;5.18995222.01

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. baan2 · 100.0%