PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

2.75 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (586 utterances, 2,541 words searched).

  1. policeman . MOT · eng_british_Manchester_II/ruth21a.cha, line 61 · Ruth 2;06
  2. are you the policeman ? MOT · eng_british_Manchester_II/ruth21a.cha, line 63 · Ruth 2;06
  3. the policeman knocked me down . MOT · eng_british_Manchester_II/ruth21a.cha, line 113 · Ruth 2;06
  4. policeman are supposed to help people . MOT · eng_british_Manchester_II/ruth21a.cha, line 118 · Ruth 2;06
  5. are you gonna [: going to] be the policeman again ? MOT · eng_british_Manchester_II/ruth21a.cha, line 178 · Ruth 2;06
  6. do you want Mummy to be the policeman ? MOT · eng_british_Manchester_II/ruth21a.cha, line 183 · Ruth 2;06
  7. well who's the policeman ? MOT · eng_british_Manchester_II/ruth21a.cha, line 193 · Ruth 2;06
  1. MOTwho are you ?
    CHIpoliceman .
    MOT*MOT: policeman .
    MOTare you the policeman ?
    CHImmhm .
  2. CHIpoliceman .
    MOTpoliceman .
    MOT*MOT: are you the policeman ?
    CHImmhm .
    MOTare you the arm of the law ?
  3. MOTwho knocked me down ?
    CHIman .
    MOT*MOT: the policeman knocked me down .
    MOTpolicemen aren't supposed to knock people down .
    MOTpoliceman are supposed to help people .
  4. MOTthe policeman knocked me down .
    MOTpolicemen aren't supposed to knock people down .
    MOT*MOT: policeman are supposed to help people .
    MOTnot knock them down .
    MOTthat's it .
  5. MOTyou're supposed to go nee^naw@o .
    MOTyou're supposed to have your hat on and your police outfit .
    MOT*MOT: are you gonna [: going to] be the policeman again ?
    MOTno .
    MOTdo you want Mummy to be the policeman ?
  6. MOTare you gonna [: going to] be the policeman again ?
    MOTno .
    MOT*MOT: do you want Mummy to be the policeman ?
    CHIno , there .
    CHIMama baby .
  7. MOTMummy's the baby ?
    CHImmhm .
    MOT*MOT: well who's the policeman ?
    MOTwell I don't think the hat's gonna [: going to] fit her very well .
    MOTright .

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. Ruth eng_british_Manchester_II2.75
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth21a.chaRuth 2;6.122,541772.75

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. policeman7 · 100.0%