PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

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

  1. go on then . MOT · eng_british_Manchester_I/becky15b.cha, line 269 · 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. he needs to go in there really . MOT · eng_british_Manchester_I/becky15b.cha, line 534 · Becky 2;05
  4. go on . MOT · eng_british_Manchester_I/becky15b.cha, line 795 · Becky 2;05
  5. go on . MOT · eng_british_Manchester_I/becky15b.cha, line 808 · Becky 2;05
  6. there you go . MOT · eng_british_Manchester_I/becky15b.cha, line 1434 · Becky 2;05
  7. I wouldn't go after him because he's not very happy now , Becky . MOT · eng_british_Manchester_I/becky15b.cha, line 1444 · Becky 2;05
  1. MOTshe wants that underneath , doesn't she ?
    CHImmhm .
    MOT*MOT: go on then .
    MOTthink the # buttons go at the back , don't they ?
    CHIshe's like um # getting married .
  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. CHIyeah .
    CHIdriver in .
    MOT*MOT: he needs to go in there really .
    MOToh .
    MOTis he going to be the driver ?
  4. MOT<well give it here> [>] .
    CHI<I 0have [*] done a wee> [<] .
    MOT*MOT: go on .
    CHIdone a wee .
    INVwww .
  5. MOTthere are eggs in there .
    MOTyes .
    MOT*MOT: go on .
    MOTget on the potty .
    CHIxxx .
  6. INVwww .
    CHIxxx .
    MOT*MOT: there you go .
    CHIthere we are .
    MOTlook .
  7. MOTI'm covered in cat hairs now .
    MOTno .
    MOT*MOT: I wouldn't go after him because he's not very happy now , Becky .
    CHISukie .
    CHISukie .

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_I5.88
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky15b.chaBecky 2;5.011,190775.88

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. go7 · 100.0%