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. shingoo ao ni natta ? %mov:"20518"_209878_211514 FAT · japanese_ishii/20518.cha, line 145 · Jun 2;05
  2. hai, ao ni narimashita . %mov:"20518"_313356_313356 FAT · japanese_ishii/20518.cha, line 196 · Jun 2;05
  1. FAThai . %mov:"20518"_206461_206932
    FATguriin ni natta ka ,, shingoo ? %mov:"20518"_206932_209878
    FAT*FAT: shingoo ao ni natta ? %mov:"20518"_209878_211514
    CHIao ni natta . %mov:"20518"_211514_212757
    FAThai, shuppaatsu . %mov:"20518"_212757_214226
  2. CHIaka natchatta . %mov:"20518"_309702_311988
    FATaka (ni) natchatta ,, shingoo . %mov:"20518"_311988_313356
    FAT*FAT: hai, ao ni narimashita . %mov:"20518"_313356_313356
    FATittekudasaai . %mov:"20518"_315035_316002
    CHIshingoo . %mov:"20518"_316002_320398

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. ao2 · 100.0%