PHPCLANCHILDES with regular expressions

13 matches in 2 utterances

14.29 per 1,000 words of the child (CHI), in 1 of 1 transcripts (488 utterances, 910 words searched).

  1. <la, la, la, la, la, la> [/?]. CHI · downs-flusberg/billy07.cha, line 577
  2. <la, la, la, la, la, la> [/?]. CHI · downs-flusberg/billy07.cha, line 577
  3. <la, la, la, la, la, la> [/?]. CHI · downs-flusberg/billy07.cha, line 577
  4. <la, la, la, la, la, la> [/?]. CHI · downs-flusberg/billy07.cha, line 577
  5. <la, la, la, la, la, la> [/?]. CHI · downs-flusberg/billy07.cha, line 577
  6. <la, la, la, la, la, la> [/?]. CHI · downs-flusberg/billy07.cha, line 577
  7. <la, la, la, la, la, la, la> [/?]. CHI · downs-flusberg/billy07.cha, line 675
  8. <la, la, la, la, la, la, la> [/?]. CHI · downs-flusberg/billy07.cha, line 675
  9. <la, la, la, la, la, la, la> [/?]. CHI · downs-flusberg/billy07.cha, line 675
  10. <la, la, la, la, la, la, la> [/?]. CHI · downs-flusberg/billy07.cha, line 675
  11. <la, la, la, la, la, la, la> [/?]. CHI · downs-flusberg/billy07.cha, line 675
  12. <la, la, la, la, la, la, la> [/?]. CHI · downs-flusberg/billy07.cha, line 675
  13. <la, la, la, la, la, la, la> [/?]. CHI · downs-flusberg/billy07.cha, line 675
  1. MOTyou make such a big deal over it.
    MOT<oh> [/?] there she ges.
    CHI*CHI: <la, la, la, la, la, la> [/?].
    MOThere we go.
    MOTnow she can sing.
  2. MOTok.
    MOTgonna be a little big.
    CHI*CHI: <la, la, la, la, la, la, la> [/?].
    MOTgonna be big?
    MOT<where's st> [/?] did stacey go to school today?

Matches by child

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

  1. Billy downs-flusberg14.29
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
downs-flusberg/billy07.chaBilly 91021314.29

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. la13 · 100.0%