PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.37 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (550 utterances, 2,108 words searched).

  1. that pens on that big table . MOT · eng_british_Manchester_I/anne07a.cha, line 53 · Anne 2;00
  2. shall we draw a big sand+castle ? MOT · eng_british_Manchester_I/anne07a.cha, line 260 · Anne 2;00
  3. shall we do one as big as Anne like you did with Daddy yesterday ? MOT · eng_british_Manchester_I/anne07a.cha, line 1652 · Anne 2;00
  4. we've got to make it as big as Anne ,, haven't we ? MOT · eng_british_Manchester_I/anne07a.cha, line 1734 · Anne 2;00
  5. it's nearly as big as Anne ,, isn't it ? MOT · eng_british_Manchester_I/anne07a.cha, line 1787 · Anne 2;00
  1. eng_british_Manchester_I/anne07a.cha, line 53 · Anne, 2;0.15
    MOTleave that one there and just get another one .
    CHIthat pen that big table .
    MOT*MOT: that pens on that big table .
    CHIone Anne .
    MOTyou've got the hiccups now ,, haven't you ?
  2. eng_british_Manchester_I/anne07a.cha, line 260 · Anne, 2;0.15
    MOToh how shall we draw the seaside ?
    MOTdraw some sand ?
    MOT*MOT: shall we draw a big sand+castle ?
    CHIyeah .
    MOTyou liked making Happy+Birthday cakes in the sand ,, didn't you ?
  3. eng_british_Manchester_I/anne07a.cha, line 1652 · Anne, 2;0.15
    CHIyeah .
    MOTalright then .
    MOT*MOT: shall we do one as big as Anne like you did with Daddy yesterday ?
    CHIyeah .
    MOTyeah .
  4. eng_british_Manchester_I/anne07a.cha, line 1734 · Anne, 2;0.15
    MOThuh ?
    CHIstand up .
    MOT*MOT: we've got to make it as big as Anne ,, haven't we ?
    CHII stand up .
    MOTwell .
  5. eng_british_Manchester_I/anne07a.cha, line 1787 · Anne, 2;0.15
    CHIxxx .
    MOTand bigger .
    MOT*MOT: it's nearly as big as Anne ,, isn't it ?
    MOTput those ones on the top .
    MOTyeah .

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. Anne eng_british_Manchester_I2.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne07a.chaAnne 2;0.152,108552.37

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. big5 · 100.0%