PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

52.63 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (22 utterances, 95 words searched).

  1. what have you been doing today ? GRA · bilingual_eng_french_Watkins/c2zan17.cha, line 24 · Christophe 6;06
  2. Stephanie, can you do a normal face, that's it do a normal face, no . MOT · bilingual_eng_french_Watkins/c2zan17.cha, line 37 · Christophe 6;06
  3. show her how you do your eyes . MOT · bilingual_eng_french_Watkins/c2zan17.cha, line 39 · Christophe 6;06
  4. film you doing what ? GRA · bilingual_eng_french_Watkins/c2zan17.cha, line 42 · Christophe 6;06
  5. can you hold my hand ? CH5 · bilingual_eng_french_Watkins/c2zan17.cha, line 46 · Christophe 6;06
  1. bilingual_eng_french_Watkins/c2zan17.cha, line 24 · Christophe, 6;6.12
    GRAsay hello to everybody .
    CHIhello !
    GRA*GRA: what have you been doing today ?
    CHII've been shopping and, <<and I went to the xx> [//] and I went at Continent > [>].
    CH5<Granny I'm on my roller+skates > [<].
  2. bilingual_eng_french_Watkins/c2zan17.cha, line 37 · Christophe, 6;6.12
    CH5film me Nanny .
    GRAwell done poser .
    MOT*MOT: Stephanie, can you do a normal face, that's it do a normal face, no .
    MOTdo your funny eyes to Nanny .
    MOTshow her how you do your eyes .
  3. bilingual_eng_french_Watkins/c2zan17.cha, line 39 · Christophe, 6;6.12
    MOTStephanie, can you do a normal face, that's it do a normal face, no .
    MOTdo your funny eyes to Nanny .
    MOT*MOT: show her how you do your eyes .
    GRAxx .
    CHIcan you film me ?
  4. bilingual_eng_french_Watkins/c2zan17.cha, line 42 · Christophe, 6;6.12
    GRAxx .
    CHIcan you film me ?
    GRA*GRA: film you doing what ?
    GRAwell move, go way from here .
    CHIwww .
  5. bilingual_eng_french_Watkins/c2zan17.cha, line 46 · Christophe, 6;6.12
    CHIwww .
    MOTwww .
    CH5*CH5: can you hold my hand ?

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_Watkins52.63
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_french_Watkins/c2zan17.chaChristophe 6;6.12955552.63

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. you5 · 100.0%