PHPCLANCHILDES with regular expressions

14 matches in 14 utterances

4.11 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (635 utterances, 3,407 words searched).

  1. some sheep . MOT · eng_british_Manchester_I/aran24b.cha, line 1011 · Aran 2;07
  2. have we got any sheep ? MOT · eng_british_Manchester_I/aran24b.cha, line 1013 · Aran 2;07
  3. I don't think there are any sheep ,, are there ? MOT · eng_british_Manchester_I/aran24b.cha, line 1019 · Aran 2;07
  4. if Anna says there's a sheep we'll find it . MOT · eng_british_Manchester_I/aran24b.cha, line 1030 · Aran 2;07
  5. I think the sheep's gone walk about ,, hasn't it ? MOT · eng_british_Manchester_I/aran24b.cha, line 1090 · Aran 2;07
  6. what shall we pretend is a sheep ? MOT · eng_british_Manchester_I/aran24b.cha, line 1101 · Aran 2;07
  7. well shall we use that for the sheep ? MOT · eng_british_Manchester_I/aran24b.cha, line 1113 · Aran 2;07
  8. because it's got a black face and these sheep have got black faces ,, haven't we ? MOT · eng_british_Manchester_I/aran24b.cha, line 1116 · Aran 2;07
  9. well you put it in with the sheep then . MOT · eng_british_Manchester_I/aran24b.cha, line 1123 · Aran 2;07
  10. he's looked all through those black face sheep and he can't find any lambs . MOT · eng_british_Manchester_I/aran24b.cha, line 1135 · Aran 2;07
  11. what do we get from sheep ? MOT · eng_british_Manchester_I/aran24b.cha, line 1141 · Aran 2;07
  12. shearing the sheep ,, aren't we ? MOT · eng_british_Manchester_I/aran24b.cha, line 1158 · Aran 2;07
  13. shearing the sheep . MOT · eng_british_Manchester_I/aran24b.cha, line 1160 · Aran 2;07
  14. and that was our sheep ,, wasn't it ? MOT · eng_british_Manchester_I/aran24b.cha, line 1459 · Aran 2;07
  1. MOTwhat's Spot found this time ?
    CHIsome sheep .
    MOT*MOT: some sheep .
    MOThave we got any sheep ?
    MOThave a look .
  2. CHIsome sheep .
    MOTsome sheep .
    MOT*MOT: have we got any sheep ?
    MOThave a look .
    MOTno .
  3. MOThave a look .
    MOTno .
    MOT*MOT: I don't think there are any sheep ,, are there ?
    CHIyou have any sheep ?
    INVthere should be one .
  4. MOTlet's have a look .
    CHIAnna .
    MOT*MOT: if Anna says there's a sheep we'll find it .
    CHIwhere is it ?
    CHIwhere is it ?
  5. MOTno .
    CHIthat's a xxx .
    MOT*MOT: I think the sheep's gone walk about ,, hasn't it ?
    CHII want to put this +...
    CHIxxx .
  6. MOTno .
    MOTwhat shall we use ?
    MOT*MOT: what shall we pretend is a sheep ?
    MOThmm ?
    MOTwhat shall we use to pretend ?
  7. MOTanother oh +...
    INVthat's not a pig .
    MOT*MOT: well shall we use that for the sheep ?
    MOTbecause it's got a black face and these sheep have got black faces ,, haven't we ?
    CHII want to put it in that sheep .
  8. INVthat's not a pig .
    MOTwell shall we use that for the sheep ?
    MOT*MOT: because it's got a black face and these sheep have got black faces ,, haven't we ?
    CHII want to put it in that sheep .
    MOTwell you put it in with the sheep then .
  9. MOTbecause it's got a black face and these sheep have got black faces ,, haven't we ?
    CHII want to put it in that sheep .
    MOT*MOT: well you put it in with the sheep then .
    MOTare there any little lambs in there ?
    CHIno .
  10. MOTno .
    MOTSpot's disappointed ,, isn't he ?
    MOT*MOT: he's looked all through those black face sheep and he can't find any lambs .
    CHIno .
    MOTwhat do we get from sheep ?
  11. MOThe's looked all through those black face sheep and he can't find any lambs .
    CHIno .
    MOT*MOT: what do we get from sheep ?
    MOThmm ?
    MOTwhat do they have on their backs ?
  12. MOTa what ?
    CHIzzz@o .
    MOT*MOT: shearing the sheep ,, aren't we ?
    MOTshearing the sheep .
    MOTright .
  13. CHIzzz@o .
    MOTshearing the sheep ,, aren't we ?
    MOT*MOT: shearing the sheep .
    MOTright .
    MOTcome on Spot .
  14. MOTwhat have we got on this page ?
    MOTsome hens .
    MOT*MOT: and that was our sheep ,, wasn't it ?
    MOTwhat was this ?
    MOTthat was a duck , wasn't it ?

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. Aran eng_british_Manchester_I4.11
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/aran24b.chaAran 2;7.143,40714144.11

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. sheep14 · 100.0%