PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

5.02 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (259 utterances, 997 words searched).

  1. ok . MEL · eng_USA_Brown/sarah113.cha, line 669
  2. ok # here we go . MEL · eng_USA_Brown/sarah113.cha, line 821
  3. ok . MEL · eng_USA_Brown/sarah113.cha, line 1031
  4. ok # let's see it . MEL · eng_USA_Brown/sarah113.cha, line 1189
  5. ok . MEL · eng_USA_Brown/sarah113.cha, line 1269
  1. eng_USA_Brown/sarah113.cha, line 669
    CHIalright .
    CHII gonna copy it .
    MEL*MEL: ok .
    CHIwhat you do # next ?
    CHIwhat you do to all that ?
  2. eng_USA_Brown/sarah113.cha, line 821
    MELdo you have a back side ?
    MELxxx messing it up .
    MEL*MEL: ok # here we go .
    MOTshe's takin(g) a lot a paper from you .
    MOThow_come you like to write ?
  3. eng_USA_Brown/sarah113.cha, line 1031
    CHIsee # dis is how you make some go now # like that .
    CHIwant me make it red ?
    MEL*MEL: ok .
    CHIbut I don't have a red pencil .
    MELyou must have a red crayon .
  4. eng_USA_Brown/sarah113.cha, line 1189
    CHIle(t) me make # a nest ?
    CHI(i)t's easy .
    MEL*MEL: ok # let's see it .
    MELoh .
    CHIwith babies in it ?
  5. eng_USA_Brown/sarah113.cha, line 1269
    CHIalright .
    CHIfirst you draw the &tee [//] tree # alright ?
    MEL*MEL: ok .
    MELa different order this time # huh ?
    CHIyeah .

Matches by child

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

  1. Sarah eng_USA_Brown5.02
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah113.chaSarah 997555.02

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. ok5 · 100.0%