PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

2.92 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (509 utterances, 2,398 words searched).

  1. part of the cat's face is missing . MOT · eng_british_Manchester_II/warr12a.cha, line 599 · Warren 2;02
  2. can you find the other bit of the cat's face ? MOT · eng_british_Manchester_II/warr12a.cha, line 601 · Warren 2;02
  3. well there's the cat's face . MOT · eng_british_Manchester_II/warr12a.cha, line 853 · Warren 2;02
  4. can you see Percy's face ? MOT · eng_british_Manchester_II/warr12a.cha, line 1218 · Warren 2;02
  5. where's Percy's face ? MOT · eng_british_Manchester_II/warr12a.cha, line 1220 · Warren 2;02
  6. so Thomas's face needs to go there , doesn't it ? MOT · eng_british_Manchester_II/warr12a.cha, line 1245 · Warren 2;02
  7. can you find Thomas's face ? MOT · eng_british_Manchester_II/warr12a.cha, line 1248 · Warren 2;02
  1. MOTno .
    MOTthere's another piece before that because look .
    MOT*MOT: part of the cat's face is missing .
    MOTcan you find the other bit of the cat's face ?
    CHIthere it is .
  2. MOTthere's another piece before that because look .
    MOTpart of the cat's face is missing .
    MOT*MOT: can you find the other bit of the cat's face ?
    CHIthere it is .
    MOTyeah .
  3. MOTthat mustn't go there .
    MOTlook .
    MOT*MOT: well there's the cat's face .
    MOTwhere's the cat's body ?
    CHIlook at that pup .
  4. CHIThomas .
    CHIThomas .
    MOT*MOT: can you see Percy's face ?
    MOTwhere's Percy's face ?
    CHIthere .
  5. CHIThomas .
    MOTcan you see Percy's face ?
    MOT*MOT: where's Percy's face ?
    CHIthere .
    MOTthere .
  6. CHIThomas .
    MOTright .
    MOT*MOT: so Thomas's face needs to go there , doesn't it ?
    MOTcan you find Thomas's face ?
    CHIthere .
  7. MOTright .
    MOTso Thomas's face needs to go there , doesn't it ?
    MOT*MOT: can you find Thomas's face ?
    CHIthere .
    CHIWarren find Thomas there .

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_II2.92
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr12a.chaWarren 2;2.052,398772.92

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. face7 · 100.0%