PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.37 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (236 utterances, 593 words searched).

  1. buubuu@o noru no ? %mov:"10721"_493226_494247 FAT · japanese_ishii/10721.cha, line 358 · Jun 1;07
  2. <noru> [<] ka naa ? %mov:"10721"_499213_501003 FAT · japanese_ishii/10721.cha, line 366 · Jun 1;07
  1. FATe ? %mov:"10721"_491270_491836
    CHIbubuuwa ? %mov:"10721"_491836_493226
    FAT*FAT: buubuu@o noru no ? %mov:"10721"_493226_494247
    CHIyoisho . %mov:"10721"_494247_496204
    FATyoisho . %mov:"10721"_496204_496928
  2. FATbuubuu@o (ni) nosen [: noseru] no,, kore (o) . %mov:"10721"_496928_499213
    CHIi <aa> [>] . %mov:"10721"_499213_501003
    FAT*FAT: <noru> [<] ka naa ? %mov:"10721"_499213_501003
    FATnoshitageyo [: noseteageyo] ka ? %mov:"10721"_501003_501843
    FATyooisho ! %mov:"10721"_501843_504217

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_ishii3.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10721.chaJun 1;7.21593223.37

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. noru2 · 100.0%