PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

2.87 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (627 utterances, 2,437 words searched).

  1. look how many you've got . MOT · eng_british_Manchester_II/ruth32a.cha, line 505 · Ruth 2;10
  2. count how many you've got . MOT · eng_british_Manchester_II/ruth32a.cha, line 507 · Ruth 2;10
  3. how many (ha)ve you got ? MOT · eng_british_Manchester_II/ruth32a.cha, line 511 · Ruth 2;10
  4. how many Yoyo_Men have we got ? MOT · eng_british_Manchester_II/ruth32a.cha, line 569 · Ruth 2;10
  5. how did they get in there ? MOT · eng_british_Manchester_II/ruth32a.cha, line 915 · Ruth 2;10
  6. how did I give you a headache ? MOT · eng_british_Manchester_II/ruth32a.cha, line 1283 · Ruth 2;10
  7. tell me how I gave you a headache . MOT · eng_british_Manchester_II/ruth32a.cha, line 1285 · Ruth 2;10
  1. MOToh no .
    MOTI've got one .
    MOT*MOT: look how many you've got .
    MOTcount how many you've got .
    CHIgot lots ones .
  2. MOTI've got one .
    MOTlook how many you've got .
    MOT*MOT: count how many you've got .
    CHIgot lots ones .
    MOThow many (ha)ve you got ?
  3. MOTcount how many you've got .
    CHIgot lots ones .
    MOT*MOT: how many (ha)ve you got ?
    CHIlots .
    MOTyou have got lots .
  4. CHIyeah .
    MOTthere's the yoyo .
    MOT*MOT: how many Yoyo_Men have we got ?
    MOTthree .
    MOTthree Yoyo_Mens .
  5. MOToh .
    MOThey .
    MOT*MOT: how did they get in there ?
    MOTwhat're we doing ?
    CHIoh doing those .
  6. CHIyou give me headache .
    MOTdid I really ?
    MOT*MOT: how did I give you a headache ?
    MOTtell me how I gave you a headache .
    CHIon my bottom .
  7. MOTdid I really ?
    MOThow did I give you a headache ?
    MOT*MOT: tell me how I gave you a headache .
    CHIon my bottom .
    MOTon your bottom ?

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_II2.87
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/ruth32a.chaRuth 2;10.232,437772.87

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. how7 · 100.0%