PHPCLANCHILDES with regular expressions

14 matches in 14 utterances

6.85 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (595 utterances, 2,043 words searched).

  1. but what keeps happening , Anne ? MOT · eng_british_Manchester_I/anne25b.cha, line 341 · Anne 2;06
  2. they're lovely bunk+beds , Anne . MOT · eng_british_Manchester_I/anne25b.cha, line 404 · Anne 2;06
  3. what's he complaining about now , Anne ? MOT · eng_british_Manchester_I/anne25b.cha, line 644 · Anne 2;06
  4. Anne . MOT · eng_british_Manchester_I/anne25b.cha, line 669 · Anne 2;06
  5. the hippo's woken up , Anne . MOT · eng_british_Manchester_I/anne25b.cha, line 788 · Anne 2;06
  6. she'll hurt her head , Anne . MOT · eng_british_Manchester_I/anne25b.cha, line 1089 · Anne 2;06
  7. she says quick , Anne . MOT · eng_british_Manchester_I/anne25b.cha, line 1113 · Anne 2;06
  8. I'm going to sleep as well , Anne . MOT · eng_british_Manchester_I/anne25b.cha, line 1147 · Anne 2;06
  9. is this the way Father_Christmas xxx all his presents , Anne ? MOT · eng_british_Manchester_I/anne25b.cha, line 1284 · Anne 2;06
  10. Anne . MOT · eng_british_Manchester_I/anne25b.cha, line 1475 · Anne 2;06
  11. what can we use for oars , Anne ? MOT · eng_british_Manchester_I/anne25b.cha, line 1548 · Anne 2;06
  12. panda's going under lots of bridges , Anne . MOT · eng_british_Manchester_I/anne25b.cha, line 1769 · Anne 2;06
  13. sit there and wait for Anne to come . MOT · eng_british_Manchester_I/anne25b.cha, line 1839 · Anne 2;06
  14. oh , Anne . MOT · eng_british_Manchester_I/anne25b.cha, line 2094 · Anne 2;06
  1. CHIa big bed .
    INVoh .
    MOT*MOT: but what keeps happening , Anne ?
    CHIkeep falling out .
    MOTyes .
  2. CHInot it .
    CHInot a top bit .
    MOT*MOT: they're lovely bunk+beds , Anne .
    MOTwho's gonna [: going to] sleep at the top ?
    MOTthe monkey .
  3. MOTyou're not .
    MOTthat's your bed .
    MOT*MOT: what's he complaining about now , Anne ?
    CHIhe wants to go on that bed .
    MOTwell .
  4. MOTdon't think Mr_Hippo's gonna [: going to] let him .
    MOTperhaps +//.
    MOT*MOT: Anne .
    MOTperhaps if he asked nicely and said please .
    MOTthe hippo might let him .
  5. MOTare you going to sleep as well ?
    MOToh .
    MOT*MOT: the hippo's woken up , Anne .
    CHIwant your Mummy ?
    MOTyes please .
  6. CHIlie down .
    CHI<do you> [//] doing you up .
    MOT*MOT: she'll hurt her head , Anne .
    CHIwhat ?
    MOTshe'll hurt her head .
  7. MOToh .
    MOTdolly's woken up .
    MOT*MOT: she says quick , Anne .
    MOTwake up .
    MOTFather_Christmas has been .
  8. CHIjust [?] I have sleep .
    MOTokay .
    MOT*MOT: I'm going to sleep as well , Anne .
    MOToh .
    CHIgo to sleep .
  9. CHIum +...
    CHIxxx .
    MOT*MOT: is this the way Father_Christmas xxx all his presents , Anne ?
    MOToh .
    MOTI think I might be waking up .
  10. MOTI [/] I think we're just throwing ,, aren't we ?
    CHInot throwing .
    MOT*MOT: Anne .
    MOTwhat're you doing ?
    MOTdon't just throw them please .
  11. MOToars .
    MOTright .
    MOT*MOT: what can we use for oars , Anne ?
    MOToh .
    MOTI don't know .
  12. MOThere comes Paddington .
    CHIPaddington's going up xxx .
    MOT*MOT: panda's going under lots of bridges , Anne .
    CHIwhat about my bridge .
    MOToh .
  13. MOTthat looks a nice place to sit .
    MOTI'll just sit there .
    MOT*MOT: sit there and wait for Anne to come .
    CHIyou drive my [*] .
    CHIyou drive me .
  14. MOTnow .
    MOTwhat does the map say now ?
    MOT*MOT: oh , Anne .
    MOTthat's all dirty .
    MOTdon't play with that .

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. Anne eng_british_Manchester_I6.85
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne25b.chaAnne 2;6.292,04314146.85

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. anne14 · 100.0%