PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

15.00 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (56 utterances, 200 words searched).

  1. oh dear . MOT · bilingual_eng_french_Watkins/c1zan11.cha, line 79 · Christophe 4;00
  2. oh nearly, yes ! MOT · bilingual_eng_french_Watkins/c1zan11.cha, line 88 · Christophe 4;00
  3. oh lovely ! GRA · bilingual_eng_french_Watkins/c1zan11.cha, line 97 · Christophe 4;00
  1. bilingual_eng_french_Watkins/c1zan11.cha, line 79 · Christophe, 4;0.
    MOTwould you like to blow one out ?
    CHINanny like xx Mummy .
    MOT*MOT: oh dear .
    MOTgood practice for your second xx xx .
    CHIMummy the xx kind .
  2. bilingual_eng_french_Watkins/c1zan11.cha, line 88 · Christophe, 4;0.
    MOTcome on Steffie then .
    MOTblow !
    MOT*MOT: oh nearly, yes !
    MOThot isn't it ?
    MOTnow who would like some special birthday cake ?
  3. bilingual_eng_french_Watkins/c1zan11.cha, line 97 · Christophe, 4;0.
    CHINanny you know about xx .
    CHIit's sugar .
    GRA*GRA: oh lovely !
    CHIMummy why it's xx ?

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. Christophe bilingual_eng_french_Watkins15.00
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/c1zan11.chaChristophe 4;0.2003315.00

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. oh3 · 100.0%