PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

7.10 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (340 utterances, 1,126 words searched).

  1. what did the doctor say he was going to have ? MOT · eng_british_Manchester_I/gail33b.cha, line 203 · Gail 2;11
  2. what did it have ? MOT · eng_british_Manchester_I/gail33b.cha, line 270 · Gail 2;11
  3. we can't have any music on . MOT · eng_british_Manchester_I/gail33b.cha, line 309 · Gail 2;11
  4. it can't have been that man . MOT · eng_british_Manchester_I/gail33b.cha, line 363 · Gail 2;11
  5. when Caroline goes you can have it on . MOT · eng_british_Manchester_I/gail33b.cha, line 530 · Gail 2;11
  6. what do we have to do with it ? INV · eng_british_Manchester_I/gail33b.cha, line 833 · Gail 2;11
  7. have you got all the food in there ? MOT · eng_british_Manchester_I/gail33b.cha, line 1141 · Gail 2;11
  8. you'll have to count me in . MOT · eng_british_Manchester_I/gail33b.cha, line 1360 · Gail 2;11
  1. CHIand he's always in there .
    CHIxxx .
    MOT*MOT: what did the doctor say he was going to have ?
    MOTan &in +...
    CHI++ (in)jection [*] .
  2. MOTstripey rug .
    CHIno .
    MOT*MOT: what did it have ?
    CHIblack rug .
    MOTAndy .
  3. CHIcan we put it on ?
    MOTno .
    MOT*MOT: we can't have any music on .
    CHIin a minute .
    MOTuhhum .
  4. MOTwhen mummy went to see this band that man there took all his clothes off .
    MOTno .
    MOT*MOT: it can't have been that man .
    MOTwhich one was it ?
    MOTdifficult to recognize him with his clothes on .
  5. MOTno .
    CHIyes .
    MOT*MOT: when Caroline goes you can have it on .
    CHIno .
    MOTor +...
  6. CHI<can you> [/] can you carry it for me ?
    INVyeah .
    INV*INV: what do we have to do with it ?
    CHImake a tunnel I think .
    INVpardon ?
  7. CHIoh .
    MOTxxx .
    MOT*MOT: have you got all the food in there ?
    CHIyes .
    CHIcan you have +//.
  8. MOTokay .
    CHIcan you sing with me ?
    MOT*MOT: you'll have to count me in .
    CHIone two three go .
    MOTwhat did you used to count one two three go for ?

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_I7.10
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/gail33b.chaGail 2;11.051,126887.10

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. have8 · 100.0%