PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

4.57 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (192 utterances, 438 words searched).

  1. hora . %mov:"00822"_147309_149043 FAT · japanese_ishii/00822.cha, line 64 · Jun 0;08
  2. hora, jooju deshu yootte . %mov:"00822"_297226_299151 FAT · japanese_ishii/00822.cha, line 126 · Jun 0;08
  1. FATuu u . %mov:"00822"_142520_144014
    FATare, konnna toko [: tokoro+e] haitchimattaa [: haitte+shimatta] . %mov:"00822"_144014_147309
    FAT*FAT: hora . %mov:"00822"_147309_149043
    FATmoshitochu [: mou hitotsu] wa koko da . %mov:"00822"_154944_156609
    FATe ? %mov:"00822"_167227_168308
  2. FATjooju [: jooju] ni chukamemashu [: tshukame+masu] nee . %mov:"00822"_291280_294336
    FAThoora . %mov:"00822"_294336_297226
    FAT*FAT: hora, jooju deshu yootte . %mov:"00822"_297226_299151
    CHIahenyuuta . %mov:"00822"_304058_307803
    FATuun ? %mov:"00822"_307803_308501

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_ishii4.57
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/00822.chaJun 0;8.22438224.57

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. hora2 · 100.0%