PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

4.83 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (500 utterances, 1,656 words searched).

  1. want to look ? MOT · eng_british_Manchester_I/anne21a.cha, line 268 · Anne 2;05
  2. I'll go and look . MOT · eng_british_Manchester_I/anne21a.cha, line 293 · Anne 2;05
  3. look . MOT · eng_british_Manchester_I/anne21a.cha, line 536 · Anne 2;05
  4. and you did look silly with those on your feet . MOT · eng_british_Manchester_I/anne21a.cha, line 777 · Anne 2;05
  5. four horses , look . MOT · eng_british_Manchester_I/anne21a.cha, line 809 · Anne 2;05
  6. funny ones , look . MOT · eng_british_Manchester_I/anne21a.cha, line 1157 · Anne 2;05
  7. two funny ducks , look . MOT · eng_british_Manchester_I/anne21a.cha, line 1161 · Anne 2;05
  8. oh look . MOT · eng_british_Manchester_I/anne21a.cha, line 1183 · Anne 2;05
  1. MOTthe cupboard under the stairs .
    CHIoh .
    MOT*MOT: want to look ?
    CHInot in there .
    MOToh .
  2. MOTdid you ?
    CHIyes .
    MOT*MOT: I'll go and look .
    CHII 0have [*] lost my people .
    INVhave you lost your people ?
  3. MOToh .
    MOTtipped them all out .
    MOT*MOT: look .
    MOTthere's a sandwich .
    MOTwho's gonna [: going to] eat that sandwich ?
  4. MOTdo you remember ?
    CHIyeah .
    MOT*MOT: and you did look silly with those on your feet .
    CHIum one little animal .
    MOTpardon ?
  5. MOTlet's see how many horses there are .
    MOTone two three .
    MOT*MOT: four horses , look .
    MOTtwo Mummys .
    MOTand two babys .
  6. MOTI think there's another duck here .
    MOTthere's two more ducks here .
    MOT*MOT: funny ones , look .
    CHIxxx .
    MOTtwo funny ducks , look .
  7. MOTfunny ones , look .
    CHIxxx .
    MOT*MOT: two funny ducks , look .
    MOTthey don't want to stand up .
    CHIno .
  8. CHII 0am [*] going steal one .
    MOThave you stolen my +//.
    MOT*MOT: oh look .
    MOTthere's another piggy there .
    MOToh .

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. Anne eng_british_Manchester_I4.83
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne21a.chaAnne 2;5.021,656884.83

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. look8 · 100.0%