PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.37 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (392 utterances, 1,783 words searched).

  1. where's [/] where's the rest of his head , Warren ? INV · eng_british_Manchester_II/warr13a.cha, line 1299 · Warren 2;02
  2. now where's the rest of the man ? MOT · eng_british_Manchester_II/warr13a.cha, line 1341 · Warren 2;02
  3. where's the rest of the man ? MOT · eng_british_Manchester_II/warr13a.cha, line 1343 · Warren 2;02
  4. where's the rest of the man ? MOT · eng_british_Manchester_II/warr13a.cha, line 1345 · Warren 2;02
  5. now can you see the rest of the hose ? MOT · eng_british_Manchester_II/warr13a.cha, line 1359 · Warren 2;02
  6. and there's a piece here that's got the rest of the hose on . MOT · eng_british_Manchester_II/warr13a.cha, line 1363 · Warren 2;02
  1. CHIput it there ?
    INVno no .
    INV*INV: where's [/] where's the rest of his head , Warren ?
    INVon the picture .
    CHIoh there it is the wheel .
  2. CHIyellow .
    MOTman's feet go there .
    MOT*MOT: now where's the rest of the man ?
    MOTwhere's the rest of the man ?
    MOTwhere's the rest of the man ?
  3. MOTman's feet go there .
    MOTnow where's the rest of the man ?
    MOT*MOT: where's the rest of the man ?
    MOTwhere's the rest of the man ?
    MOTwho do those legs belong to ?
  4. MOTnow where's the rest of the man ?
    MOTwhere's the rest of the man ?
    MOT*MOT: where's the rest of the man ?
    MOTwho do those legs belong to ?
    CHIoh there is a man .
  5. CHIlook at that one .
    MOTthat's er the nozzle on the hose .
    MOT*MOT: now can you see the rest of the hose ?
    MOTthere's some hose there .
    MOTand there's a piece here that's got the rest of the hose on .
  6. MOTnow can you see the rest of the hose ?
    MOTthere's some hose there .
    MOT*MOT: and there's a piece here that's got the rest of the hose on .
    MOTsee some yellow wound up hose .
    CHIthat one go 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_II3.37
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr13a.chaWarren 2;2.121,783663.37

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. rest6 · 100.0%