PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.23 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (512 utterances, 1,890 words searched).

  1. what've you done to my bridge ? MOT · eng_british_Manchester_I/anne23b.cha, line 420 · Anne 2;05
  2. my fabulous bridge . MOT · eng_british_Manchester_I/anne23b.cha, line 423 · Anne 2;05
  3. it's my drink . MOT · eng_british_Manchester_I/anne23b.cha, line 860 · Anne 2;05
  4. are the bubbles gonna [: going to] go up my nose ? MOT · eng_british_Manchester_I/anne23b.cha, line 1016 · Anne 2;05
  5. where's my cake ? MOT · eng_british_Manchester_I/anne23b.cha, line 1084 · Anne 2;05
  6. my strawberry's all gone . MOT · eng_british_Manchester_I/anne23b.cha, line 1239 · Anne 2;05
  7. I could have my cheese in a sandwich ,, couldn't I ? MOT · eng_british_Manchester_I/anne23b.cha, line 1410 · Anne 2;05
  8. I'm gonna [: going to] beep my horn . MOT · eng_british_Manchester_I/anne23b.cha, line 1579 · Anne 2;05
  1. MOTsitting on the whale by the looks of things .
    CHIoh .
    MOT*MOT: what've you done to my bridge ?
    MOTmy fabulous bridge .
    MOTI think it needs reinforcements .
  2. CHIoh .
    MOTwhat've you done to my bridge ?
    MOT*MOT: my fabulous bridge .
    MOTI think it needs reinforcements .
    CHIxxx .
  3. CHIit's yours .
    MOToh .
    MOT*MOT: it's my drink .
    MOTokay .
    CHIyours is there .
  4. MOTgood girl .
    CHIsleep tight .
    MOT*MOT: are the bubbles gonna [: going to] go up my nose ?
    MOTit's a bit bubbly .
    CHIno .
  5. MOTxxx .
    MOTnow .
    MOT*MOT: where's my cake ?
    MOTI was gonna [: going to] have a nice cake ,, wasn't I ?
    MOToh .
  6. CHIis [/] is it all gone ?
    MOTyeah .
    MOT*MOT: my strawberry's all gone .
    MOTnow I would like an onion please .
    CHIoh .
  7. MOTand now I'm gonna [: going to] have some cheese .
    MOToh .
    MOT*MOT: I could have my cheese in a sandwich ,, couldn't I ?
    MOTthere .
    MOThow's that ?
  8. CHIthank you .
    MOTthat's right .
    MOT*MOT: I'm gonna [: going to] beep my horn .
    MOTthere's a tractor in the way .
    MOTbeepbeep@o .

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_I4.23
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne23b.chaAnne 2;5.251,890884.23

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. my8 · 100.0%