PHPCLANCHILDES with regular expressions

12 matches in 12 utterances

4.55 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (645 utterances, 2,640 words searched).

  1. you like new picture books ? ROG · eng_USA_Brown/sarah077.cha, line 258 · Sarah 3;09
  2. you like to go ? ROG · eng_USA_Brown/sarah077.cha, line 287 · Sarah 3;09
  3. # do you like this picture book or not too much ? ROG · eng_USA_Brown/sarah077.cha, line 306 · Sarah 3;09
  4. <are those> [//] # do you like that one ? ROG · eng_USA_Brown/sarah077.cha, line 428 · Sarah 3;09
  5. I like this the best . ROG · eng_USA_Brown/sarah077.cha, line 999 · Sarah 3;09
  6. which do you like better ? ROG · eng_USA_Brown/sarah077.cha, line 1053 · Sarah 3;09
  7. …l point to the same one for # for both or to both at once or anything like that . ROG · eng_USA_Brown/sarah077.cha, line 1160 · Sarah 3;09
  8. do you see anybody looks like Chantilly ? ROG · eng_USA_Brown/sarah077.cha, line 1327 · Sarah 3;09
  9. it looks like a hand grenade . ROG · eng_USA_Brown/sarah077.cha, line 1551 · Sarah 3;09
  10. you don't like that ? MOT · eng_USA_Brown/sarah077.cha, line 1774 · Sarah 3;09
  11. you just said you didn't like it . MOT · eng_USA_Brown/sarah077.cha, line 1783 · Sarah 3;09
  12. you look like a +... ROG · eng_USA_Brown/sarah077.cha, line 1876 · Sarah 3;09
  1. eng_USA_Brown/sarah077.cha, line 258 · Sarah, 3;9.18
    ROGwhat'd I do with it ?
    ROGoh +...
    ROG*ROG: you like new picture books ?
    ROGdon't say .
    ROGa new picture book # and it begins somewhere +...
  2. eng_USA_Brown/sarah077.cha, line 287 · Sarah, 3;9.18
    CHIgo to dancing lessons .
    ROGyou go to dancing lessons now ?
    ROG*ROG: you like to go ?
    CHI0 .
    ROGwell # good .
  3. eng_USA_Brown/sarah077.cha, line 306 · Sarah, 3;9.18
    MOTwell # good .
    ROGnow I'm going to +...
    ROG*ROG: # do you like this picture book or not too much ?
    MOTwant to sit ?
    MOTwhy don't you sit up ?
  4. eng_USA_Brown/sarah077.cha, line 428 · Sarah, 3;9.18
    ROGok .
    ROGlet's see .
    ROG*ROG: <are those> [//] # do you like that one ?
    ROGthat's a nice one isn't it ?
    ROGwhat are they ?
  5. eng_USA_Brown/sarah077.cha, line 999 · Sarah, 3;9.18
    ROGxxx .
    ROGuhoh .
    ROG*ROG: I like this the best .
    MOTsee +...
    ROGthis is the best .
  6. eng_USA_Brown/sarah077.cha, line 1053 · Sarah, 3;9.18
    ROG<which &t> [//] # which sounds better to you # xxx she's picking the doggie up .
    ROGor she pickin(g) the doggie up ?
    ROG*ROG: which do you like better ?
    CHIshe pickin(g) the doggie up .
    ROGwhich one ?
  7. eng_USA_Brown/sarah077.cha, line 1160 · Sarah, 3;9.18
    ROGso that the # the chance base is not fifty fifty .
    KENI was wondering about that .
    ROG*ROG: they quite freely will point to the same one for # for both or to both at once or anything like that .
    ROGso you don't get that concept of of mutual exclusivity .
    ROGnow what do we have here ?
  8. eng_USA_Brown/sarah077.cha, line 1327 · Sarah, 3;9.18
    ROGwhat's this ?
    ROGhmm ?
    ROG*ROG: do you see anybody looks like Chantilly ?
    ROGthere ?
    ROGhuh ?
  9. eng_USA_Brown/sarah077.cha, line 1551 · Sarah, 3;9.18
    ROGhuh ?
    CHI0 [=! makes a noise] .
    ROG*ROG: it looks like a hand grenade .
    ROGwhat is that ?
    MOTit used to be a pineapple .
  10. eng_USA_Brown/sarah077.cha, line 1774 · Sarah, 3;9.18
    CHIno .
    CHII don't like that .
    MOT*MOT: you don't like that ?
    MOTok .
    CHII like that .
  11. eng_USA_Brown/sarah077.cha, line 1783 · Sarah, 3;9.18
    CHII like that .
    CHII like that .
    MOT*MOT: you just said you didn't like it .
    CHII like it .
    ROGSarah # aren't you going to show us a dance that you can do ?
  12. eng_USA_Brown/sarah077.cha, line 1876 · Sarah, 3;9.18
    ROGisn't that nice .
    MOTthat was last year's .
    ROG*ROG: you look like a +...

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. Sarah eng_USA_Brown4.55
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_USA_Brown/sarah077.chaSarah 3;9.182,64012124.55

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.

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