PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

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

  1. and a little tiny doggy . MOT · eng_british_Manchester_II/liz02a.cha, line 214 · Liz 1;11
  2. great big ears and little eyes . MOT · eng_british_Manchester_II/liz02a.cha, line 763 · Liz 1;11
  3. oh: there's a little man stuck on the front . MOT · eng_british_Manchester_II/liz02a.cha, line 911 · Liz 1;11
  4. little tufty hair . MOT · eng_british_Manchester_II/liz02a.cha, line 1328 · Liz 1;11
  5. cows have like little spots on their noses , don't they ? MOT · eng_british_Manchester_II/liz02a.cha, line 1334 · Liz 1;11
  1. MOTlook .
    MOTa very big doggy .
    MOT*MOT: and a little tiny doggy .
    CHImore .
    MOTwell I think the rest of it's important .
  2. CHImouse .
    MOTyeah .
    MOT*MOT: great big ears and little eyes .
    MOTand a pointy nose .
    MOTlike that ?
  3. CHI(heli)copter .
    MOTHarold_the_Helicopter .
    MOT*MOT: oh: there's a little man stuck on the front .
    MOTwhat's in this picture ?
    CHIrabbits .
  4. MOTeyes .
    MOTand ears .
    MOT*MOT: little tufty hair .
    MOTthis one's got dark eyes .
    MOTthere we go .
  5. MOTthis one's got dark eyes .
    MOTthere we go .
    MOT*MOT: cows have like little spots on their noses , don't they ?
    MOTare you going to draw ?
    CHIwindow .

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_II2.98
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz02a.chaLiz 1;11.161,679552.98

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. little5 · 100.0%