PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.35 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (453 utterances, 2,092 words searched).

  1. that's one thing that you're pretty good at . MOT · eng_british_Manchester_I/gail31a.cha, line 19 · Gail 2;10
  2. it was really good , wasn't it ? MOT · eng_british_Manchester_I/gail31a.cha, line 391 · Gail 2;10
  3. it's really good fun . MOT · eng_british_Manchester_I/gail31a.cha, line 458 · Gail 2;10
  4. is Caroline good at drawing ? MOT · eng_british_Manchester_I/gail31a.cha, line 819 · Gail 2;10
  5. that one doesn't look very good , does it ? INV · eng_british_Manchester_I/gail31a.cha, line 902 · Gail 2;10
  6. good , isn't it ? MOT · eng_british_Manchester_I/gail31a.cha, line 1011 · Gail 2;10
  7. I thought that was a good idea to take , don't you ? MOT · eng_british_Manchester_I/gail31a.cha, line 1516 · Gail 2;10
  1. MOTgot writing on it .
    MOTwww .
    MOT*MOT: that's one thing that you're pretty good at .
    MOTcutting .
    MOTwhen I went to play+group to help out all the other children couldn't do it .
  2. CHIyeah .
    MOTmmhm .
    MOT*MOT: it was really good , wasn't it ?
    MOTand what else did we see flying at the beginning ?
    MOTjust when we set off .
  3. MOTyeah .
    MOTMummy used to climb there when she was a little girl .
    MOT*MOT: it's really good fun .
    CHIwe went down that little one .
    CHIlittle hole .
  4. INVxxx .
    INVlots of teeth , haven't they ?
    MOT*MOT: is Caroline good at drawing ?
    INVno .
    INVuseless .
  5. INVyou have that one .
    INVyou willn't get ink on you .
    INV*INV: that one doesn't look very good , does it ?
    MOThere's one .
    MOTMummy's got one .
  6. INVI've joined the dots up and made a man , look .
    MOToh look .
    MOT*MOT: good , isn't it ?
    CHIdraw [/] draw it in +/.
    INVyou join the dots up now .
  7. MOTpardon you .
    CHIcan I take this with me ?
    MOT*MOT: I thought that was a good idea to take , don't you ?
    CHIyeah .
    MOTbecause Andy might want to play with that .

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. Gail eng_british_Manchester_I3.35
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/gail31a.chaGail 2;10.082,092773.35

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. good7 · 100.0%