PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

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

  1. and some eyes . MOT · eng_british_Manchester_II/liz02a.cha, line 660 · Liz 1;11
  2. and teddy's eyes . MOT · eng_british_Manchester_II/liz02a.cha, line 700 · Liz 1;11
  3. he's got some eyes . MOT · eng_british_Manchester_II/liz02a.cha, line 712 · Liz 1;11
  4. great big ears and little eyes . MOT · eng_british_Manchester_II/liz02a.cha, line 763 · Liz 1;11
  5. eyes . MOT · eng_british_Manchester_II/liz02a.cha, line 1324 · Liz 1;11
  6. this one's got dark eyes . MOT · eng_british_Manchester_II/liz02a.cha, line 1330 · Liz 1;11
  1. eng_british_Manchester_II/liz02a.cha, line 660 · Liz, 1;11.16
    MOTit's the first time I've done a turtle .
    CHIteddy .
    MOT*MOT: and some eyes .
    CHIteddy .
    CHIteddy .
  2. eng_british_Manchester_II/liz02a.cha, line 700 · Liz, 1;11.16
    MOToh yes I won't [: willn't] forget the buttons .
    MOTand his ears .
    MOT*MOT: and teddy's eyes .
    MOTwhat else does he need ?
    CHImore .
  3. eng_british_Manchester_II/liz02a.cha, line 712 · Liz, 1;11.16
    CHIears .
    MOTyeah there's his ears .
    MOT*MOT: he's got some eyes .
    MOTshall we give him a nose ?
    CHIyeah .
  4. eng_british_Manchester_II/liz02a.cha, line 763 · Liz, 1;11.16
    CHImouse .
    MOTyeah .
    MOT*MOT: great big ears and little eyes .
    MOTand a pointy nose .
    MOTlike that ?
  5. eng_british_Manchester_II/liz02a.cha, line 1324 · Liz, 1;11.16
    MOTthere we go .
    MOTsome noses .
    MOT*MOT: eyes .
    MOTand ears .
    MOTlittle tufty hair .
  6. eng_british_Manchester_II/liz02a.cha, line 1330 · Liz, 1;11.16
    MOTand ears .
    MOTlittle tufty hair .
    MOT*MOT: this one's got dark eyes .
    MOTthere we go .
    MOTcows have like little spots on their noses , don't they ?

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_II3.57
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/liz02a.chaLiz 1;11.161,679663.57

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. eyes6 · 100.0%