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. asoko ni kamera ga aru . %mov:"20518"_457465_458671 FAT · japanese_ishii/20518.cha, line 250 · Jun 2;05
  2. nande asoko <denki ga> [>] tsuite no ? %mov:"20518"_544231_548446 SIS · japanese_ishii/20518.cha, line 276 · Jun 2;05
  1. FATn ? %mov:"20518"_453793_454598
    SISnande utsun no ? %mov:"20518"_454598_457465
    FAT*FAT: asoko ni kamera ga aru . %mov:"20518"_457465_458671
    FATJunkun, Junkun, fukin ue okinasai . %mov:"20518"_458671_465076
    FAThai, soko oitokinasai . %mov:"20518"_465076_467401
  2. SISnande kamera ni na kamera ni xxx nande kamera atte na koko mae kitehen noni nande utsun no ? %mov:"20518"_527420_543102
    FATun . %mov:"20518"_543102_544231
    SIS*SIS: nande asoko <denki ga> [>] tsuite no ? %mov:"20518"_544231_548446
    FATxxx [<] . %mov:"20518"_544231_548446
    SISnaa . %mov:"20518"_548446_551603

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. asoko2 · 100.0%