PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.49 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (586 utterances, 2,011 words searched).

  1. she'll have her hair cut ? MOT · eng_british_Manchester_I/anne28b.cha, line 1678 · Anne 2;07
  2. who's gonna [: going to] cut her hair ? MOT · eng_british_Manchester_I/anne28b.cha, line 1680 · Anne 2;07
  3. have I just got to cut her fringe a bit then ? MOT · eng_british_Manchester_I/anne28b.cha, line 1692 · Anne 2;07
  4. so I know how [/] how much to cut off . MOT · eng_british_Manchester_I/anne28b.cha, line 1713 · Anne 2;07
  5. shall I cut it while you make the breakfast then ? MOT · eng_british_Manchester_I/anne28b.cha, line 1722 · Anne 2;07
  1. eng_british_Manchester_I/anne28b.cha, line 1678 · Anne, 2;7.15
    CHIright .
    CHIgot to have your hair cut tonight .
    MOT*MOT: she'll have her hair cut ?
    MOTwho's gonna [: going to] cut her hair ?
    CHIyou .
  2. eng_british_Manchester_I/anne28b.cha, line 1680 · Anne, 2;7.15
    CHIgot to have your hair cut tonight .
    MOTshe'll have her hair cut ?
    MOT*MOT: who's gonna [: going to] cut her hair ?
    CHIyou .
    MOTokay .
  3. eng_british_Manchester_I/anne28b.cha, line 1692 · Anne, 2;7.15
    MOTis she gonna [: going to] be a brave girl ?
    CHIyeah .
    MOT*MOT: have I just got to cut her fringe a bit then ?
    CHIyeah .
    MOTokay .
  4. eng_british_Manchester_I/anne28b.cha, line 1713 · Anne, 2;7.15
    MOTjust borrow the comb .
    MOTcomb it all nice and straight .
    MOT*MOT: so I know how [/] how much to cut off .
    MOToh yes .
    MOTit's going in her eyes a bit ,, isn't it ?
  5. eng_british_Manchester_I/anne28b.cha, line 1722 · Anne, 2;7.15
    MOTit's going in her eyes a bit ,, isn't it ?
    MOTokay .
    MOT*MOT: shall I cut it while you make the breakfast then ?
    CHIyeah .
    MOTthere we are .

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_I2.49
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne28b.chaAnne 2;7.152,011552.49

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. cut5 · 100.0%