PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.34 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (574 utterances, 1,799 words searched).

  1. who's going to sit on the bench ? MOT · eng_british_Manchester_I/anne03b.cha, line 240 · Anne 1;11
  2. who's on the car ? MOT · eng_british_Manchester_I/anne03b.cha, line 384 · Anne 1;11
  3. who's in there ? MOT · eng_british_Manchester_I/anne03b.cha, line 596 · Anne 1;11
  4. who's this coming to get my toes ? MOT · eng_british_Manchester_I/anne03b.cha, line 1146 · Anne 1;11
  5. who's getting my toes ? MOT · eng_british_Manchester_I/anne03b.cha, line 1163 · Anne 1;11
  6. who's gonna [: going to] get Anne ? MOT · eng_british_Manchester_I/anne03b.cha, line 1476 · Anne 1;11
  1. eng_british_Manchester_I/anne03b.cha, line 240 · Anne, 1;11.04
    CHIbench .
    MOTit's a bench ,, is it ?
    MOT*MOT: who's going to sit on the bench ?
    CHIlion .
    MOTthe lion ?
  2. eng_british_Manchester_I/anne03b.cha, line 384 · Anne, 1;11.04
    MOTyou're not in the way .
    MOTbrumm@o .
    MOT*MOT: who's on the car ?
    CHIpenguin .
    MOTpenguin .
  3. eng_british_Manchester_I/anne03b.cha, line 596 · Anne, 1;11.04
    MOTAnne do it .
    CHIoh .
    MOT*MOT: who's in there ?
    CHIteddy .
    MOTteddy .
  4. eng_british_Manchester_I/anne03b.cha, line 1146 · Anne, 1;11.04
    MOTshall we show dolly your penguin ?
    MOTxxx .
    MOT*MOT: who's this coming to get my toes ?
    MOToh .
    MOTgot my toe .
  5. eng_british_Manchester_I/anne03b.cha, line 1163 · Anne, 1;11.04
    MOTyou do it .
    MOToh .
    MOT*MOT: who's getting my toes ?
    MOToh .
    MOTis he gonna [: going to] get your toes ?
  6. eng_british_Manchester_I/anne03b.cha, line 1476 · Anne, 1;11.04
    CHIxxx .
    MOThey ?
    MOT*MOT: who's gonna [: going to] get Anne ?
    MOToh .
    MOT+" round and round the garden like a teddy+bear .

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_I3.34
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne03b.chaAnne 1;11.041,799663.34

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. who's6 · 100.0%