PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.32 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (628 utterances, 2,108 words searched).

  1. is that teddy's foot ? MOT · eng_british_Manchester_I/anne02a.cha, line 612 · Anne 1;10
  2. hello teddy's face . MOT · eng_british_Manchester_I/anne02a.cha, line 636 · Anne 1;10
  3. where's teddy's foot ? MOT · eng_british_Manchester_I/anne02a.cha, line 652 · Anne 1;10
  4. shall we put teddy's feet in ? MOT · eng_british_Manchester_I/anne02a.cha, line 717 · Anne 1;10
  5. teddy's foot . MOT · eng_british_Manchester_I/anne02a.cha, line 728 · Anne 1;10
  6. is it teddy's toe ? MOT · eng_british_Manchester_I/anne02a.cha, line 870 · Anne 1;10
  7. teddy's is away ? MOT · eng_british_Manchester_I/anne02a.cha, line 888 · Anne 1;10
  1. eng_british_Manchester_I/anne02a.cha, line 612 · Anne, 1;10.21
    MOToh teddy .
    MOTwhat's that ?
    MOT*MOT: is that teddy's foot ?
    MOTor his tummy ?
    MOTor his head ?
  2. eng_british_Manchester_I/anne02a.cha, line 636 · Anne, 1;10.21
    MOTthat's right .
    CHIhello ear .
    MOT*MOT: hello teddy's face .
    MOTthere's his eyes, look .
    MOTand his nose .
  3. eng_british_Manchester_I/anne02a.cha, line 652 · Anne, 1;10.21
    MOTwhere's his foot ?
    MOTthere's your foot .
    MOT*MOT: where's teddy's foot ?
    CHImore .
    MOTmore what ?
  4. eng_british_Manchester_I/anne02a.cha, line 717 · Anne, 1;10.21
    INVlater .
    MOTlater on .
    MOT*MOT: shall we put teddy's feet in ?
    CHIno .
    MOTno ?
  5. eng_british_Manchester_I/anne02a.cha, line 728 · Anne, 1;10.21
    CHIxxx .
    MOTwhoops .
    MOT*MOT: teddy's foot .
    MOTthere we go .
    MOTthere it goes .
  6. eng_british_Manchester_I/anne02a.cha, line 870 · Anne, 1;10.21
    CHIxxx it .
    CHIit's here .
    MOT*MOT: is it teddy's toe ?
    CHIno .
    MOTHumpty's .
  7. eng_british_Manchester_I/anne02a.cha, line 888 · Anne, 1;10.21
    CHI&a Humpty's .
    CHIteddy's 0is [*] away .
    MOT*MOT: teddy's is away ?
    MOTxxx it was behind you .
    CHIxxx move it .

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_I3.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne02a.chaAnne 1;10.212,108773.32

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. teddy's7 · 100.0%