PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

4.17 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (424 utterances, 1,679 words searched).

  1. table ? MOT · eng_british_Manchester_II/liz02a.cha, line 369 · Liz 1;11
  2. do you want me to draw a table ? MOT · eng_british_Manchester_II/liz02a.cha, line 499 · Liz 1;11
  3. there's another table leg . MOT · eng_british_Manchester_II/liz02a.cha, line 513 · Liz 1;11
  4. is that okay for a table ? MOT · eng_british_Manchester_II/liz02a.cha, line 520 · Liz 1;11
  5. a table ? MOT · eng_british_Manchester_II/liz02a.cha, line 540 · Liz 1;11
  6. and another table leg . MOT · eng_british_Manchester_II/liz02a.cha, line 546 · Liz 1;11
  7. another table ? MOT · eng_british_Manchester_II/liz02a.cha, line 552 · Liz 1;11
  1. eng_british_Manchester_II/liz02a.cha, line 369 · Liz, 1;11.16
    MOTeh that's good fun , isn't it ?
    CHItable .
    MOT*MOT: table ?
    CHIDaddy minute .
    CHIDaddy work .
  2. eng_british_Manchester_II/liz02a.cha, line 499 · Liz, 1;11.16
    CHItable .
    CHItable .
    MOT*MOT: do you want me to draw a table ?
    CHIyeah .
    MOTwhereabouts ?
  3. eng_british_Manchester_II/liz02a.cha, line 513 · Liz, 1;11.16
    MOTokay .
    MOTwell there's the leg .
    MOT*MOT: there's another table leg .
    MOTand then it has a top like that , doesn't it ?
    CHItable .
  4. eng_british_Manchester_II/liz02a.cha, line 520 · Liz, 1;11.16
    MOTand then it has a top like that , doesn't it ?
    CHItable .
    MOT*MOT: is that okay for a table ?
    CHILiz table .
    CHILiz table .
  5. eng_british_Manchester_II/liz02a.cha, line 540 · Liz, 1;11.16
    CHIthere .
    CHItable .
    MOT*MOT: a table ?
    MOTokay .
    MOTthere's the leg .
  6. eng_british_Manchester_II/liz02a.cha, line 546 · Liz, 1;11.16
    MOTokay .
    MOTthere's the leg .
    MOT*MOT: and another table leg .
    MOTand the top .
    CHIthere .
  7. eng_british_Manchester_II/liz02a.cha, line 552 · Liz, 1;11.16
    MOTand the top .
    CHIthere .
    MOT*MOT: another table ?
    MOTwhat do you want me to do ?
    CHIhand .

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. Liz eng_british_Manchester_II4.17
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz02a.chaLiz 1;11.161,679774.17

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. table7 · 100.0%