PHPCLANCHILDES with regular expressions

12 matches in 12 utterances

5.85 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (457 utterances, 2,050 words searched).

  1. no . MOT · eng_british_Manchester_II/warr28a.cha, line 58 · Warren 2;07
  2. no . MOT · eng_british_Manchester_II/warr28a.cha, line 213 · Warren 2;07
  3. no . MOT · eng_british_Manchester_II/warr28a.cha, line 244 · Warren 2;07
  4. no . MOT · eng_british_Manchester_II/warr28a.cha, line 709 · Warren 2;07
  5. no . MOT · eng_british_Manchester_II/warr28a.cha, line 963 · Warren 2;07
  6. no . MOT · eng_british_Manchester_II/warr28a.cha, line 1021 · Warren 2;07
  7. no . MOT · eng_british_Manchester_II/warr28a.cha, line 1132 · Warren 2;07
  8. <I wouldn't make> [//] I <couldn't> [//] wouldn't dare to make Anna , no . MOT · eng_british_Manchester_II/warr28a.cha, line 1134 · Warren 2;07
  9. no . MOT · eng_british_Manchester_II/warr28a.cha, line 1397 · Warren 2;07
  10. he's a nothing Daddy at the moment because he's got no expression on his face . MOT · eng_british_Manchester_II/warr28a.cha, line 1573 · Warren 2;07
  11. no . MOT · eng_british_Manchester_II/warr28a.cha, line 1595 · Warren 2;07
  12. oh it's got no face . MOT · eng_british_Manchester_II/warr28a.cha, line 1630 · Warren 2;07
  1. eng_british_Manchester_II/warr28a.cha, line 58 · Warren, 2;7.12
    MOTyou take off your shoes and socks and we can make your toes , can't we ?
    CHIin shoes .
    MOT*MOT: no .
    MOTnot in shoes .
    MOTwe don't put shoes on this .
  2. eng_british_Manchester_II/warr28a.cha, line 213 · Warren, 2;7.12
    CHIno .
    CHIthat .
    MOT*MOT: no .
    MOTthat .
    CHIno .
  3. eng_british_Manchester_II/warr28a.cha, line 244 · Warren, 2;7.12
    MOTwell just look at that .
    CHIno .
    MOT*MOT: no .
    MOTI'm not going to do anything to it .
    MOTI'm just looking at it .
  4. eng_british_Manchester_II/warr28a.cha, line 709 · Warren, 2;7.12
    MOThow shall we make it better ?
    MOTshall we hit it with a rolling pin ?
    MOT*MOT: no .
    MOTare you stroking it with a rolling pin ?
    CHIno .
  5. eng_british_Manchester_II/warr28a.cha, line 963 · Warren, 2;7.12
    MOTthey look more like some kind of +...
    CHIGranddad's crying .
    MOT*MOT: no .
    MOTGranddad's happy .
    MOThe's got a big smile on his face .
  6. eng_british_Manchester_II/warr28a.cha, line 1021 · Warren, 2;7.12
    MOThis moustache .
    CHIand Daddy's got a beard too .
    MOT*MOT: no .
    MOTDaddy's not got a beard .
    CHIDaddy's got a smile .
  7. eng_british_Manchester_II/warr28a.cha, line 1132 · Warren, 2;7.12
    CHIyeah .
    CHIand Anna .
    MOT*MOT: no .
    MOT<I wouldn't make> [//] I <couldn't> [//] wouldn't dare to make Anna , no .
    MOTI'd get sued .
  8. eng_british_Manchester_II/warr28a.cha, line 1134 · Warren, 2;7.12
    CHIand Anna .
    MOTno .
    MOT*MOT: <I wouldn't make> [//] I <couldn't> [//] wouldn't dare to make Anna , no .
    MOTI'd get sued .
    INVugh .
  9. eng_british_Manchester_II/warr28a.cha, line 1397 · Warren, 2;7.12
    CHImy [*] drive my car up there .
    CHII 0am [*] gonna [: going to] knock them over .
    MOT*MOT: no .
    MOTthat's not a good idea because you might get the soft stuff on your vehicles .
    MOTthat's not a good idea .
  10. eng_british_Manchester_II/warr28a.cha, line 1573 · Warren, 2;7.12
    MOTgonna [: going to] wipe that foolish grin off your face .
    MOTthere .
    MOT*MOT: he's a nothing Daddy at the moment because he's got no expression on his face .
    MOTlet's put a little sad face on him , shall we ?
    CHIthat's a sad Daddy .
  11. eng_british_Manchester_II/warr28a.cha, line 1595 · Warren, 2;7.12
    CHII can see sad now .
    CHIcan see a smiley .
    MOT*MOT: no .
    MOThe's not smiling .
    MOThe's still sad .
  12. eng_british_Manchester_II/warr28a.cha, line 1630 · Warren, 2;7.12
    CHIthat's not a rhino .
    MOTwell if it's not a rhino what is it ?
    MOT*MOT: oh it's got no face .
    CHIit's sad .
    CHIother funny creature .

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_II5.85
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr28a.chaWarren 2;7.122,05012125.85

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. no12 · 100.0%