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. Junkun, nani ka naa,, shore [: sore] wa . %mov:"00822"_617663_620605 FAT · japanese_ishii/00822.cha, line 244 · Jun 0;08
  2. shore [: sore] wa nani ka naa . %mov:"00822"_620605_623770 FAT · japanese_ishii/00822.cha, line 245 · Jun 0;08
  1. FATo . %mov:"00822"_612059_614324
    FATnani ka naa, Junkun . %mov:"00822"_614324_617663
    FAT*FAT: Junkun, nani ka naa,, shore [: sore] wa . %mov:"00822"_617663_620605
    FATshore [: sore] wa nani ka naa . %mov:"00822"_620605_623770
    FAThai, chotto tachi shitete yaa [: yo] . %mov:"00822"_623770_626291
  2. FATnani ka naa, Junkun . %mov:"00822"_614324_617663
    FATJunkun, nani ka naa,, shore [: sore] wa . %mov:"00822"_617663_620605
    FAT*FAT: shore [: sore] wa nani ka naa . %mov:"00822"_620605_623770
    FAThai, chotto tachi shitete yaa [: yo] . %mov:"00822"_623770_626291
    FATyoisho . %mov:"00822"_636484_637345

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. shore2 · 100.0%