PHPCLANCHILDES with regular expressions

9 matches in 9 utterances

2.54 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (936 utterances, 3,537 words searched).

  1. we need more stars then for the sky. MOT · autistic-flusberg/mark08.cha, line 626
  2. no, I think we might need more playdoh for that. MOT · autistic-flusberg/mark08.cha, line 955
  3. we need to make it flatter. MOT · autistic-flusberg/mark08.cha, line 966
  4. we need to make it +/. MOT · autistic-flusberg/mark08.cha, line 970
  5. yeah, you need some there. MOT · autistic-flusberg/mark08.cha, line 1030
  6. what else do we need? MOT · autistic-flusberg/mark08.cha, line 1035
  7. what else do we need? MOT · autistic-flusberg/mark08.cha, line 1038
  8. what else do we need? MOT · autistic-flusberg/mark08.cha, line 1041
  9. what do we need to do? MOT · autistic-flusberg/mark08.cha, line 1085
  1. CHItwo bird.
    MOTtwo birds.
    MOT*MOT: we need more stars then for the sky.
    MOTshall we make a sky and put the stars in it?
    MOTdo you want to do that?
  2. MOTyou want a butterfly now?
    MOT<oop> [/?].
    MOT*MOT: no, I think we might need more playdoh for that.
    MOTcan you squeeze it together.
    CHIsqueeze it.
  3. CHIyes roll.
    MOTok.
    MOT*MOT: we need to make it flatter.
    CHIroll it out.
    MOT<hm> [/?].
  4. MOT<hm> [/?].
    CHIxxx.
    MOT*MOT: we need to make it +/.
    CHIin.
    MOTflatter.
  5. MOT<three> [/?].
    CHIneed it.
    MOT*MOT: yeah, you need some there.
    CHI<four five six> [/?].
    MOTgood job!
  6. CHIbutterfly.
    MOTyou needed spots.
    MOT*MOT: what else do we need?
    MOT<hm> [/?]?
    MOTwhat else do we need?
  7. MOTwhat else do we need?
    MOT<hm> [/?]?
    MOT*MOT: what else do we need?
    MOT<huh> [/?]?
    MOTcan you think?
  8. MOT<huh> [/?]?
    MOTcan you think?
    MOT*MOT: what else do we need?
    MOThow about a sun?
    CHIthe sun in sky.
  9. MOT<is> [/?] that the sun?
    CHIyes.
    MOT*MOT: what do we need to do?
    MOTwanna make little lines in it?
    CHIyes.

Matches by child

Matches per 1,000 words, all transcripts of each child together, highest first.

  1. Mark autistic-flusberg2.54
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
autistic-flusberg/mark08.chaMark 3,537992.54

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. need9 · 100.0%