PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

3.98 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (252 utterances, 1,004 words searched).

  1. what's up ? MOT · eng_british_Manchester_II/liz28a.cha, line 86 · Liz 2;08
  2. which way up are we doing it ? MOT · eng_british_Manchester_II/liz28a.cha, line 280 · Liz 2;08
  3. did you want to fill that line up ? MOT · eng_british_Manchester_II/liz28a.cha, line 583 · Liz 2;08
  4. I xxx my feet up . MOT · eng_british_Manchester_II/liz28a.cha, line 736 · Liz 2;08
  1. eng_british_Manchester_II/liz28a.cha, line 86 · Liz, 2;8.21
    MOTokay .
    MOTwww .
    MOT*MOT: what's up ?
    MOTare you hiding ?
    CHIyeah .
  2. eng_british_Manchester_II/liz28a.cha, line 280 · Liz, 2;8.21
    CHIgreen .
    MOTgreen .
    MOT*MOT: which way up are we doing it ?
    MOTlike that ?
    CHIlike that .
  3. eng_british_Manchester_II/liz28a.cha, line 583 · Liz, 2;8.21
    MOTwell <you could> [/] you could put a little one in the corners if you want .
    MOTand then there's this line here .
    MOT*MOT: did you want to fill that line up ?
    CHIwe can't put the big ones .
    MOTno .
  4. eng_british_Manchester_II/liz28a.cha, line 736 · Liz, 2;8.21
    MOTare we doing a whole row of yellow ?
    MOTyeah ?
    MOT*MOT: I xxx my feet up .
    MOToh that does look nice .
    MOTI like yellow .

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_II3.98
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz28a.chaLiz 2;8.211,004443.98

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. up4 · 100.0%