PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.91 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (312 utterances, 687 words searched).

  1. doo shoo ? %mov:"20407"_1055231_1056180 FAT · japanese_ishii/20407.cha, line 526 · Jun 2;04
  2. doo shoo ? %mov:"20407"_1166999_1167795 FAT · japanese_ishii/20407.cha, line 578 · Jun 2;04
  1. japanese_ishii/20407.cha, line 526 · Jun, 2;4.07
    FATaa aa . %mov:"20407"_1052461_1053823
    CHIhoe . %mov:"20407"_1053823_1055231
    FAT*FAT: doo shoo ? %mov:"20407"_1055231_1056180
    CHIhaiu [: hairu] ka na,, bashu wa ? %mov:"20407"_1056180_1059066
    CHIhaiu ka naa # xxx ? %mov:"20407"_1059066_1063269
  2. japanese_ishii/20407.cha, line 578 · Jun, 2;4.07
    FATkuruma nai wa . %mov:"20407"_1164068_1165372
    CHIkuuma nai wa . %mov:"20407"_1165372_1166999
    FAT*FAT: doo shoo ? %mov:"20407"_1166999_1167795
    CHIkuuma # hoe . %mov:"20407"_1167795_1169993
    FATun . %mov:"20407"_1169993_1170662

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_ishii2.91
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20407.chaJun 2;4.07687222.91

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. shoo2 · 100.0%