PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

2.54 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (382 utterances, 1,572 words searched).

  1. there's Anna's eyes . MOT · eng_british_Manchester_II/liz16a.cha, line 1192 · Liz 2;04
  2. Anna's nose . MOT · eng_british_Manchester_II/liz16a.cha, line 1194 · Liz 2;04
  3. Anna's mouth . MOT · eng_british_Manchester_II/liz16a.cha, line 1196 · Liz 2;04
  4. and Anna's got very very very long hair , hasn't she ? MOT · eng_british_Manchester_II/liz16a.cha, line 1198 · Liz 2;04
  1. CHIand Anna .
    MOTokay I'll do Anna .
    MOT*MOT: there's Anna's eyes .
    MOTAnna's nose .
    MOTAnna's mouth .
  2. MOTokay I'll do Anna .
    MOTthere's Anna's eyes .
    MOT*MOT: Anna's nose .
    MOTAnna's mouth .
    MOTand Anna's got very very very long hair , hasn't she ?
  3. MOTthere's Anna's eyes .
    MOTAnna's nose .
    MOT*MOT: Anna's mouth .
    MOTand Anna's got very very very long hair , hasn't she ?
    CHIyeah .
  4. MOTAnna's nose .
    MOTAnna's mouth .
    MOT*MOT: and Anna's got very very very long hair , hasn't she ?
    CHIyeah .
    MOTlike that .

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_II2.54
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz16a.chaLiz 2;4.101,572442.54

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. anna's4 · 100.0%