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. you had your what ? FAT · bilingual_eng_french_Watkins/a01wat05.cha, line 39 · Jeremy 2;09
  2. ah you had your nebulisation . FAT · bilingual_eng_french_Watkins/a01wat05.cha, line 42 · Jeremy 2;09
  3. has he had his nebulisation this morning ? FAT · bilingual_eng_french_Watkins/a01wat05.cha, line 44 · Jeremy 2;09
  1. 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 .
  2. bilingual_eng_french_Watkins/a01wat05.cha, line 42 · Jeremy, 2;9.10
    CHI<mon blépé> [//] mon nebulation .
    MOTnebulisation .
    FAT*FAT: ah you had your nebulisation .
    CHIyes .
    FAThas he had his nebulisation this morning ?
  3. bilingual_eng_french_Watkins/a01wat05.cha, line 44 · Jeremy, 2;9.10
    FATah you had your nebulisation .
    CHIyes .
    FAT*FAT: has he had his nebulisation this morning ?
    FATsorry ?
    MOTI don't know .

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. had3 · 100.0%