PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.43 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (531 utterances, 2,054 words searched).

  1. that's a good name for a horse , isn't it ? MOT · eng_british_Manchester_II/nic07a.cha, line 56 · Nicole 2;02
  2. and what's this teddy+bear's name ? MOT · eng_british_Manchester_II/nic07a.cha, line 59 · Nicole 2;02
  3. has he got a name ? MOT · eng_british_Manchester_II/nic07a.cha, line 66 · Nicole 2;02
  4. what's his name ? MOT · eng_british_Manchester_II/nic07a.cha, line 70 · Nicole 2;02
  5. shall we try and write your name ? MOT · eng_british_Manchester_II/nic07a.cha, line 1705 · Nicole 2;02
  1. CHIneigh@o .
    MOTneigh@o ?
    MOT*MOT: that's a good name for a horse , isn't it ?
    MOTand what's this teddy+bear's name ?
    MOTthis big one .
  2. MOTneigh@o ?
    MOTthat's a good name for a horse , isn't it ?
    MOT*MOT: and what's this teddy+bear's name ?
    MOTthis big one .
    MOTwhat do you call him ?
  3. MOTthis big one .
    MOTwhat do you call him ?
    MOT*MOT: has he got a name ?
    CHIyeah .
    MOTwhat's his name ?
  4. MOThas he got a name ?
    CHIyeah .
    MOT*MOT: what's his name ?
    CHIum +...
    CHI+, Coffee .
  5. CHIno .
    CHIno .
    MOT*MOT: shall we try and write your name ?
    CHIxxx .
    MOTshall we ?

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. Nicole eng_british_Manchester_II2.43
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/nic07a.chaNicole 2;2.272,054552.43

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. name5 · 100.0%