PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

6.72 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (341 utterances, 1,190 words searched).

  1. you don't need to undo the buttons . MOT · eng_british_Manchester_I/becky15b.cha, line 190 · Becky 2;05
  2. think the # buttons go at the back , don't they ? MOT · eng_british_Manchester_I/becky15b.cha, line 271 · Becky 2;05
  3. there aren't any buttons . MOT · eng_british_Manchester_I/becky15b.cha, line 298 · Becky 2;05
  4. no buttons . MOT · eng_british_Manchester_I/becky15b.cha, line 310 · Becky 2;05
  5. no buttons . INV · eng_british_Manchester_I/becky15b.cha, line 318 · Becky 2;05
  6. have you got any buttons on today ? MOT · eng_british_Manchester_I/becky15b.cha, line 320 · Becky 2;05
  7. have I got any buttons on ? MOT · eng_british_Manchester_I/becky15b.cha, line 330 · Becky 2;05
  8. who's got buttons ? MOT · eng_british_Manchester_I/becky15b.cha, line 338 · Becky 2;05
  1. INVwww .
    CHItake these off .
    MOT*MOT: you don't need to undo the buttons .
    MOTit just pulls down .
    MOTpull it over her hands .
  2. CHImmhm .
    MOTgo on then .
    MOT*MOT: think the # buttons go at the back , don't they ?
    CHIshe's like um # getting married .
    MOTshe's getting [//] looks like she's getting married , does she ?
  3. CHImmhm .
    CHIwhere 0are [*] buttons ?
    MOT*MOT: there aren't any buttons .
    MOTit's just got a bit of velcro on it .
    MOTxxx .
  4. MOTthat's it .
    INVwww .
    MOT*MOT: no buttons .
    CHIno buttons .
    MOTno .
  5. MOTno .
    CHIno buttons .
    INV*INV: no buttons .
    MOThave you got any buttons on today ?
    CHIno .
  6. CHIno buttons .
    INVno buttons .
    MOT*MOT: have you got any buttons on today ?
    CHIno .
    MOTno .
  7. MOTyou haven't , have you ?
    CHIno .
    MOT*MOT: have I got any buttons on ?
    MOTno .
    CHIno .
  8. CHIno .
    CHIanimals 0have [*] got buttons .
    MOT*MOT: who's got buttons ?
    CHIanimals .
    CHIoh no .

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. Becky eng_british_Manchester_I6.72
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky15b.chaBecky 2;5.011,190886.72

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. buttons8 · 100.0%