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. be careful with the sugar . MOT · bilingual_eng_french_Watkins/a01wat09.cha, line 174 · Jeremy 2;05
  2. you want to sugar it ? MOT · bilingual_eng_french_Watkins/a01wat09.cha, line 180 · Jeremy 2;05
  3. you want to sugar it ? FAT · bilingual_eng_french_Watkins/a01wat09.cha, line 181 · Jeremy 2;05
  1. bilingual_eng_french_Watkins/a01wat09.cha, line 174 · Jeremy, 2;5.17
    FATwell there is a bit of sauce .
    CHI<I'm I'm I'm> [/] I'm careful .
    MOT*MOT: be careful with the sugar .
    CHIumh .
    CHI<I want> [/] I want to sugar it .
  2. bilingual_eng_french_Watkins/a01wat09.cha, line 180 · Jeremy, 2;5.17
    CHII want sugar it .
    CHII want +...
    MOT*MOT: you want to sugar it ?
    FATyou want to sugar it ?
    MOTeh+bien wait a minute oh !
  3. bilingual_eng_french_Watkins/a01wat09.cha, line 181 · Jeremy, 2;5.17
    CHII want +...
    MOTyou want to sugar it ?
    FAT*FAT: you want to sugar it ?
    MOTeh+bien wait a minute oh !
    MOTwait .

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. sugar3 · 100.0%