PHPCLANCHILDES with regular expressions

10 matches in 10 utterances

4.21 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (651 utterances, 2,378 words searched).

  1. oh look . MOT · eng_british_Manchester_I/anne30b.cha, line 489 · Anne 2;07
  2. there she is , look . MOT · eng_british_Manchester_I/anne30b.cha, line 824 · Anne 2;07
  3. we can have a look at Caroline's . MOT · eng_british_Manchester_I/anne30b.cha, line 863 · Anne 2;07
  4. look . MOT · eng_british_Manchester_I/anne30b.cha, line 964 · Anne 2;07
  5. I think there's two doggys , look . MOT · eng_british_Manchester_I/anne30b.cha, line 974 · Anne 2;07
  6. and the pig family , look . MOT · eng_british_Manchester_I/anne30b.cha, line 1031 · Anne 2;07
  7. they do look smart ,, don't they ? MOT · eng_british_Manchester_I/anne30b.cha, line 1255 · Anne 2;07
  8. they look like twins . MOT · eng_british_Manchester_I/anne30b.cha, line 1335 · Anne 2;07
  9. oh look . MOT · eng_british_Manchester_I/anne30b.cha, line 1355 · Anne 2;07
  10. look at this page . MOT · eng_british_Manchester_I/anne30b.cha, line 1357 · Anne 2;07
  1. CHIgotta watch play+days again .
    MOTokay .
    MOT*MOT: oh look .
    MOTthere's a very tiny little Peggy_Patch .
    MOTwhat's gonna [: going to] happen to her ?
  2. MOTlet's see if we can see her .
    MOTcan we see her ?
    MOT*MOT: there she is , look .
    MOTshe's gone to her car .
    CHIit's down there .
  3. MOTno .
    MOTwe'll <put these> [//] push these to one side .
    MOT*MOT: we can have a look at Caroline's .
    MOTcan't we ?
    MOTare they coming ?
  4. MOTthere's some new animals I think in here .
    MOTwww .
    MOT*MOT: look .
    MOTthat's a new one .
    CHII know .
  5. CHII know .
    MOTtwo new doggys .
    MOT*MOT: I think there's two doggys , look .
    MOTI don't remember seeing a doggy at all before .
    CHIhello .
  6. MOTthere we are .
    MOTthe goat family .
    MOT*MOT: and the pig family , look .
    MOTMummy .
    MOTbaby .
  7. MOTI'll do this bow yellow .
    MOTall the dogs have got their bows on .
    MOT*MOT: they do look smart ,, don't they ?
    MOTyou're doing that bow red ,, are you ?
    MOTwhat color's that one ?
  8. MOTyeah .
    MOTthose two are little .
    MOT*MOT: they look like twins .
    MOToh .
    MOTlots of spots on then .
  9. MOToh .
    MOTwhat +//.
    MOT*MOT: oh look .
    MOTlook at this page .
    MOToh .
  10. MOTwhat +//.
    MOToh look .
    MOT*MOT: look at this page .
    MOToh .
    MOTthey're cute ,, aren'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. Anne eng_british_Manchester_I4.21
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne30b.chaAnne 2;7.292,37810104.21

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. look10 · 100.0%