PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

5.57 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (379 utterances, 1,794 words searched).

  1. see who it is . MOT · eng_british_Manchester_II/warr22a.cha, line 828 · Warren 2;05
  2. see who it is . MOT · eng_british_Manchester_II/warr22a.cha, line 830 · Warren 2;05
  3. who's on the phone ? MOT · eng_british_Manchester_II/warr22a.cha, line 854 · Warren 2;05
  4. who is it ? MOT · eng_british_Manchester_II/warr22a.cha, line 858 · Warren 2;05
  5. who sat with Warren and ate his breakfast ? MOT · eng_british_Manchester_II/warr22a.cha, line 1230 · Warren 2;05
  6. who else sat at breakfast ? MOT · eng_british_Manchester_II/warr22a.cha, line 1237 · Warren 2;05
  7. and who else had breakfast with Warren and Gary ? MOT · eng_british_Manchester_II/warr22a.cha, line 1258 · Warren 2;05
  8. people who fight fires . MOT · eng_british_Manchester_II/warr22a.cha, line 1309 · Warren 2;05
  9. who get rid of fires . MOT · eng_british_Manchester_II/warr22a.cha, line 1311 · Warren 2;05
  10. who was crying ? MOT · eng_british_Manchester_II/warr22a.cha, line 1366 · Warren 2;05
  1. eng_british_Manchester_II/warr22a.cha, line 828 · Warren, 2;5.20
    MOThere's your telephone .
    MOTyou answer it .
    MOT*MOT: see who it is .
    MOTsee who it is .
    CHIit's not wound up .
  2. eng_british_Manchester_II/warr22a.cha, line 830 · Warren, 2;5.20
    MOTyou answer it .
    MOTsee who it is .
    MOT*MOT: see who it is .
    CHIit's not wound up .
    MOTsorry .
  3. eng_british_Manchester_II/warr22a.cha, line 854 · Warren, 2;5.20
    MOTthere we go .
    MOTnow then .
    MOT*MOT: who's on the phone ?
    CHIit's somebody on the phone .
    MOTwho is it ?
  4. eng_british_Manchester_II/warr22a.cha, line 858 · Warren, 2;5.20
    MOTwho's on the phone ?
    CHIit's somebody on the phone .
    MOT*MOT: who is it ?
    CHIGrandma .
    MOTwell say hello to Grandma .
  5. eng_british_Manchester_II/warr22a.cha, line 1230 · Warren, 2;5.20
    CHIGrandma's .
    MOTnot at Grandma's .
    MOT*MOT: who sat with Warren and ate his breakfast ?
    CHIWarren .
    MOTyes Warren did .
  6. eng_british_Manchester_II/warr22a.cha, line 1237 · Warren, 2;5.20
    CHIWarren .
    MOTyes Warren did .
    MOT*MOT: who else sat at breakfast ?
    CHIAnna .
    MOTno .
  7. eng_british_Manchester_II/warr22a.cha, line 1258 · Warren, 2;5.20
    CHIGary .
    MOTyou had your breakfast with Gary yesterday , didn't you ?
    MOT*MOT: and who else had breakfast with Warren and Gary ?
    CHIIrene and Tom .
    MOTIrene and Tom .
  8. eng_british_Manchester_II/warr22a.cha, line 1309 · Warren, 2;5.20
    MOTfirefighter .
    MOTthat's what you call the people in the yellow helmets .
    MOT*MOT: people who fight fires .
    MOTwho get rid of fires .
    CHIxxx bump my cat puzzle .
  9. eng_british_Manchester_II/warr22a.cha, line 1311 · Warren, 2;5.20
    MOTthat's what you call the people in the yellow helmets .
    MOTpeople who fight fires .
    MOT*MOT: who get rid of fires .
    CHIxxx bump my cat puzzle .
    MOTdid you ?
  10. eng_british_Manchester_II/warr22a.cha, line 1366 · Warren, 2;5.20
    CHIoh don't cry .
    CHIsilly .
    MOT*MOT: who was crying ?
    CHILittle_Bear .
    MOTLittle_Bear was .

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_II5.57
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr22a.chaWarren 2;5.201,79410105.57

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. who10 · 100.0%