PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

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

  1. nebulisation . MOT · bilingual_eng_french_Watkins/a01wat05.cha, line 41 · 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
  4. okay do you want your nebulisation ? FAT · bilingual_eng_french_Watkins/a01wat05.cha, line 49 · Jeremy 2;09
  1. FATyou had your what ?
    CHI<mon blépé> [//] mon nebulation .
    MOT*MOT: nebulisation .
    FATah you had your nebulisation .
    CHIyes .
  2. CHI<mon blépé> [//] mon nebulation .
    MOTnebulisation .
    FAT*FAT: ah you had your nebulisation .
    CHIyes .
    FAThas he had his nebulisation this morning ?
  3. FATah you had your nebulisation .
    CHIyes .
    FAT*FAT: has he had his nebulisation this morning ?
    FATsorry ?
    MOTI don't know .
  4. FATshall I give it to him ?
    MOTyeah .
    FAT*FAT: okay do you want your nebulisation ?
    CHIno .
    FATyes I think you should .

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_Watkins16.39
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/a01wat05.chaJeremy 2;9.102444416.39

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. nebulisation4 · 100.0%