PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

2.62 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (262 utterances, 1,144 words searched).

  1. well I haven't got enough to do a snowman I'm afraid . MOT · eng_british_Manchester_II/liz26a.cha, line 1074 · Liz 2;08
  2. do you want to give me a bit more and then I can make a snowman ? MOT · eng_british_Manchester_II/liz26a.cha, line 1080 · Liz 2;08
  3. we tried to make a snowman yesterday , didn't we ? MOT · eng_british_Manchester_II/liz26a.cha, line 1085 · Liz 2;08
  1. eng_british_Manchester_II/liz26a.cha, line 1074 · Liz, 2;8.
    CHIdo a snowman .
    CHIa snowman .
    MOT*MOT: well I haven't got enough to do a snowman I'm afraid .
    MOTyou'll have to give me a bit more .
    MOTdo you want to give me a bit more and then I can make a snowman ?
  2. eng_british_Manchester_II/liz26a.cha, line 1080 · Liz, 2;8.
    MOTwell I haven't got enough to do a snowman I'm afraid .
    MOTyou'll have to give me a bit more .
    MOT*MOT: do you want to give me a bit more and then I can make a snowman ?
    CHIthis is a head .
    MOTwe tried to make a snowman yesterday , didn't we ?
  3. eng_british_Manchester_II/liz26a.cha, line 1085 · Liz, 2;8.
    MOTdo you want to give me a bit more and then I can make a snowman ?
    CHIthis is a head .
    MOT*MOT: we tried to make a snowman yesterday , didn't we ?
    CHIa snowman .
    MOTwell not really .

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_II2.62
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz26a.chaLiz 2;8.1,144332.62

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. snowman3 · 100.0%