PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.93 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (392 utterances, 1,783 words searched).

  1. here's some trees . MOT · eng_british_Manchester_II/warr13a.cha, line 413 · Warren 2;02
  2. put them here ? MOT · eng_british_Manchester_II/warr13a.cha, line 440 · Warren 2;02
  3. we've had a big pile up here . MOT · eng_british_Manchester_II/warr13a.cha, line 594 · Warren 2;02
  4. now that piece goes here . MOT · eng_british_Manchester_II/warr13a.cha, line 1099 · Warren 2;02
  5. on here . MOT · eng_british_Manchester_II/warr13a.cha, line 1221 · Warren 2;02
  6. and there's a piece here that's got the rest of the hose on . MOT · eng_british_Manchester_II/warr13a.cha, line 1363 · Warren 2;02
  7. can you see somebody on the puzzle here where the hat is missing ? MOT · eng_british_Manchester_II/warr13a.cha, line 1403 · Warren 2;02
  1. MOTyeah we'll play with toys .
    MOTshall we put the trees and the houses up ?
    MOT*MOT: here's some trees .
    MOTyou've lost one of the house roofs .
    MOToh no we haven't .
  2. MOTtrees up .
    MOTwhere shall we put the houses ?
    MOT*MOT: put them here ?
    CHIyeah .
    MOTblue one .
  3. MOTthey're not +//.
    MOToh dear .
    MOT*MOT: we've had a big pile up here .
    MOTwhat shall we do ?
    CHIoh .
  4. CHIoh there it is .
    MOTright .
    MOT*MOT: now that piece goes here .
    CHIturn it round .
    CHIthat one go there .
  5. MOTthere's somebody's face there and they're missing a helmet .
    MOTcan you see a helmet with no face ?
    MOT*MOT: on here .
    MOTcan you see a helmet with no face ?
    CHIoh there it is .
  6. MOTnow can you see the rest of the hose ?
    MOTthere's some hose there .
    MOT*MOT: and there's a piece here that's got the rest of the hose on .
    MOTsee some yellow wound up hose .
    CHIthat one go there ?
  7. MOTit's the top of a hat .
    MOTnow can you see somebody with the top of his hat missing ?
    MOT*MOT: can you see somebody on the puzzle here where the hat is missing ?
    MOTis the top of his hat missing ?
    MOTor his hat ?

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. Warren eng_british_Manchester_II3.93
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr13a.chaWarren 2;2.121,783773.93

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. here7 · 100.0%