PHPCLANCHILDES with regular expressions

6 matches in 5 utterances

95.24 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (19 utterances, 63 words searched).

  1. what did you do this morning with Papa ? MOT · bilingual_eng_french_Watkins/b2charous01.cha, line 7 · Olivier_brother 2;05
  2. what story did you read ? MOT · bilingual_eng_french_Watkins/b2charous01.cha, line 21 · Olivier_brother 2;05
  3. oh you're eating sugar now yes . MOT · bilingual_eng_french_Watkins/b2charous01.cha, line 27 · Olivier_brother 2;05
  4. you don't know ? MOT · bilingual_eng_french_Watkins/b2charous01.cha, line 33 · Olivier_brother 2;05
  5. <xx xx you going to go to school> [//] when are you going to go to school ? MOT · bilingual_eng_french_Watkins/b2charous01.cha, line 35 · Olivier_brother 2;05
  6. <xx xx you going to go to school> [//] when are you going to go to school ? MOT · bilingual_eng_french_Watkins/b2charous01.cha, line 35 · Olivier_brother 2;05
  1. bilingual_eng_french_Watkins/b2charous01.cha, line 7 · Olivier_brother, 2;5.
    MOT*MOT: what did you do this morning with Papa ?
    CHIxx .
    MOThmm ?
  2. bilingual_eng_french_Watkins/b2charous01.cha, line 21 · Olivier_brother, 2;5.
    MOTread a story ?
    CHIyes .
    MOT*MOT: what story did you read ?
    CHIbaby xx .
    MOTbaby one ?
  3. bilingual_eng_french_Watkins/b2charous01.cha, line 27 · Olivier_brother, 2;5.
    MOToh [=! laughs] .
    CHIxx eating sugar .
    MOT*MOT: oh you're eating sugar now yes .
    MOTwhere's Nicky ?
    MOTxxx .
  4. bilingual_eng_french_Watkins/b2charous01.cha, line 33 · Olivier_brother, 2;5.
    MOTwhere's Nicky ?
    CHIxxx .
    MOT*MOT: you don't know ?
    CHIgone to school .
    MOT<xx xx you going to go to school> [//] when are you going to go to school ?
  5. bilingual_eng_french_Watkins/b2charous01.cha, line 35 · Olivier_brother, 2;5.
    MOTyou don't know ?
    CHIgone to school .
    MOT*MOT: <xx xx you going to go to school> [//] when are you going to go to school ?
    CHIlà Olivier .
    MOTtomorrow ?

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. Olivier_brother bilingual_eng_french_Watkins95.24
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/b2charous01.chaOlivier_brother 2;5.635695.24

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. you6 · 100.0%