PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

12.30 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (47 utterances, 244 words searched).

  1. What are you doing Jeremy ? FAT · bilingual_eng_french_Watkins/a01wat05.cha, line 10 · Jeremy 2;09
  2. what did you say ? FAT · bilingual_eng_french_Watkins/a01wat05.cha, line 12 · Jeremy 2;09
  3. you had your what ? FAT · bilingual_eng_french_Watkins/a01wat05.cha, line 39 · Jeremy 2;09
  1. bilingual_eng_french_Watkins/a01wat05.cha, line 10 · Jeremy, 2;9.10
    FAT*FAT: What are you doing Jeremy ?
    CHI### together .
    FATwhat did you say ?
  2. bilingual_eng_french_Watkins/a01wat05.cha, line 12 · Jeremy, 2;9.10
    FATWhat are you doing Jeremy ?
    CHI### together .
    FAT*FAT: what did you say ?
    CHIɩ@u two three together .
    FATthere are two three together ?
  3. bilingual_eng_french_Watkins/a01wat05.cha, line 39 · Jeremy, 2;9.10
    FATdon't want to ?
    CHI### 0subj [*] have mon xx .
    FAT*FAT: you had your what ?
    CHI<mon blépé> [//] mon nebulation .
    MOTnebulisation .

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. Jeremy bilingual_eng_french_Watkins12.30
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/a01wat05.chaJeremy 2;9.102443312.30

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. what3 · 100.0%