PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

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

  1. perhaps I should have got a bigger table . MOT · eng_british_Manchester_I/anne07a.cha, line 26 · Anne 2;00
  2. table pens ? MOT · eng_british_Manchester_I/anne07a.cha, line 33 · Anne 2;00
  3. shall I get a bigger table ? MOT · eng_british_Manchester_I/anne07a.cha, line 35 · Anne 2;00
  4. that pens on that big table . MOT · eng_british_Manchester_I/anne07a.cha, line 53 · Anne 2;00
  5. what are you doing sitting on the table ? MOT · eng_british_Manchester_I/anne07a.cha, line 206 · Anne 2;00
  6. what are you doing sitting on the table ? MOT · eng_british_Manchester_I/anne07a.cha, line 211 · Anne 2;00
  7. shall we have it on this table ? MOT · eng_british_Manchester_I/anne07a.cha, line 584 · Anne 2;00
  1. MOTthose pens are in that box ,, are they ?
    MOTis there room for them ?
    MOT*MOT: perhaps I should have got a bigger table .
    CHImore table .
    CHIpens .
  2. CHImore table .
    CHIpens .
    MOT*MOT: table pens ?
    MOTshall I get a bigger table ?
    CHIyeah .
  3. CHIpens .
    MOTtable pens ?
    MOT*MOT: shall I get a bigger table ?
    CHIyeah .
    MOTalright then .
  4. 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 ?
  5. MOTtwo flowers .
    CHIand Anne's .
    MOT*MOT: what are you doing sitting on the table ?
    CHIwhat .
    MOTwhat are you doing sitting on the table ?
  6. MOTwhat are you doing sitting on the table ?
    CHIwhat .
    MOT*MOT: what are you doing sitting on the table ?
    CHIpick [/] pick Anne's paper .
    MOTplease .
  7. CHIit's gone .
    CHIgone .
    MOT*MOT: shall we have it on this table ?
    MOTthank you .
    CHItwo knife [*] .

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_I3.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne07a.chaAnne 2;0.152,108773.32

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. table7 · 100.0%