PHPCLANCHILDES with regular expressions

8 matches in 7 utterances

3.92 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (432 utterances, 2,039 words searched).

  1. there's his tongue and his paws . MOT · eng_british_Manchester_II/warr05a.cha, line 420 · Warren 1;11
  2. there's his tongue and his paws . MOT · eng_british_Manchester_II/warr05a.cha, line 420 · Warren 1;11
  3. and there's Spot in his basket . MOT · eng_british_Manchester_II/warr05a.cha, line 460 · Warren 1;11
  4. his eyes are shut , aren't they ? MOT · eng_british_Manchester_II/warr05a.cha, line 471 · Warren 1;11
  5. if his tail's wagging he might not be asleep . MOT · eng_british_Manchester_II/warr05a.cha, line 478 · Warren 1;11
  6. there's his bone . MOT · eng_british_Manchester_II/warr05a.cha, line 553 · Warren 1;11
  7. he's licking his bone , isn't he ? MOT · eng_british_Manchester_II/warr05a.cha, line 555 · Warren 1;11
  8. he's in his basket . MOT · eng_british_Manchester_II/warr05a.cha, line 558 · Warren 1;11
  1. MOTthere's Spot's eyes .
    MOTlook .
    MOT*MOT: there's his tongue and his paws .
    MOTnow can you put these pieces on ?
    MOTno .
  2. MOTthat's it .
    MOThooray .
    MOT*MOT: and there's Spot in his basket .
    MOTwith a bone .
    MOTwhat's Spot doing ?
  3. CHIsleep .
    MOThow do you know he's sleeping ?
    MOT*MOT: his eyes are shut , aren't they ?
    CHII put that there .
    MOTmind you .
  4. CHII put that there .
    MOTmind you .
    MOT*MOT: if his tail's wagging he might not be asleep .
    CHIput that there .
    MOTshall we take it apart and put it back together again ?
  5. MOTwith a bone .
    CHIbone .
    MOT*MOT: there's his bone .
    MOThe's licking his bone , isn't he ?
    MOThe's in his basket .
  6. CHIbone .
    MOTthere's his bone .
    MOT*MOT: he's licking his bone , isn't he ?
    MOThe's in his basket .
    CHIa tongue there .
  7. MOTthere's his bone .
    MOThe's licking his bone , isn't he ?
    MOT*MOT: he's in his basket .
    CHIa tongue there .
    MOTyeah .

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. Warren eng_british_Manchester_II3.92
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr05a.chaWarren 1;11.262,039783.92

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. his8 · 100.0%