PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

6.56 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (116 utterances, 457 words searched).

  1. cheese is coming up . FAT · bilingual_eng_french_Watkins/a01wat09.cha, line 64 · Jeremy 2;05
  2. no this is ordinary still water . FAT · bilingual_eng_french_Watkins/a01wat09.cha, line 94 · Jeremy 2;05
  3. well there is a bit of sauce . FAT · bilingual_eng_french_Watkins/a01wat09.cha, line 172 · Jeremy 2;05
  1. bilingual_eng_french_Watkins/a01wat09.cha, line 64 · Jeremy, 2;5.17
    CHII want cheese .
    MOTwait a minute .
    FAT*FAT: cheese is coming up .
    FATdon't you want any sauce ?
    CHIno .
  2. bilingual_eng_french_Watkins/a01wat09.cha, line 94 · Jeremy, 2;5.17
    CHIis 0that fizzy water ?
    MOTno .
    FAT*FAT: no this is ordinary still water .
    CHIyou want (s)till water .
    FATyou want some still water ?
  3. bilingual_eng_french_Watkins/a01wat09.cha, line 172 · Jeremy, 2;5.17
    FAThmm ?
    CHI0there 0v no sauce .
    FAT*FAT: well there is a bit of sauce .
    CHI<I'm I'm I'm> [/] I'm careful .
    MOTbe careful with the sugar .

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_Watkins6.56
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/a01wat09.chaJeremy 2;5.17457336.56

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. is3 · 100.0%