PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.59 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (506 utterances, 2,317 words searched).

  1. here # horsie . MOT · eng_USA_Brown/adam38.cha, line 298 · Adam 3;09
  2. here # Paul # give the horsie some sugar . MOT · eng_USA_Brown/adam38.cha, line 309 · Adam 3;09
  3. it's just not in here . MOT · eng_USA_Brown/adam38.cha, line 885 · Adam 3;09
  4. here are my cuttings ? MOT · eng_USA_Brown/adam38.cha, line 1681 · Adam 3;09
  5. here # Paul . MOT · eng_USA_Brown/adam38.cha, line 1812 · Adam 3;09
  6. I think we just need one more under here . MOT · eng_USA_Brown/adam38.cha, line 2338 · Adam 3;09
  1. eng_USA_Brown/adam38.cha, line 298 · Adam, 3;9.16
    CHIwhy do you dump me off your horse ?
    MOTwant some sugar # horse ?
    MOT*MOT: here # horsie .
    CHII want +...
    CHIhe likes milk .
  2. eng_USA_Brown/adam38.cha, line 309 · Adam, 3;9.16
    MOToh ?
    CHIan(d) you give him some sugar in his milk .
    MOT*MOT: here # Paul # give the horsie some sugar .
    CHIin his milk .
    CHIcan [?] we put some sugar in his milk ?
  3. eng_USA_Brown/adam38.cha, line 885 · Adam, 3;9.16
    CHIwh(at) (h)appen other one ?
    MOTI don't know .
    MOT*MOT: it's just not in here .
    MOTit's just lost .
    CHIno no .
  4. eng_USA_Brown/adam38.cha, line 1681 · Adam, 3;9.16
    CHIhere are your cuttings .
    MOTthank you .
    MOT*MOT: here are my cuttings ?
    CHIthat's your cutting .
    CHII need a more scissors because these .
  5. eng_USA_Brown/adam38.cha, line 1812 · Adam, 3;9.16
    CHIno # dat's my mirror .
    CHIhere !
    MOT*MOT: here # Paul .
    MOTPaul .
    MOTwait till it stops .
  6. eng_USA_Brown/adam38.cha, line 2338 · Adam, 3;9.16
    CHIwho does he look like ?
    MOTone of the members of George Washington's army .
    MOT*MOT: I think we just need one more under here .
    CHIwe need two .
    CHIwho are you ?

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. Adam eng_USA_Brown2.59
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/adam38.chaAdam 3;9.162,317662.59

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. here6 · 100.0%