PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.32 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (628 utterances, 2,108 words searched).

  1. come on down then and let's see if we can +//. MOT · eng_british_Manchester_I/anne02a.cha, line 421 · Anne 1;10
  2. let's see if we can find the Early_Learning_Centre catalogue . MOT · eng_british_Manchester_I/anne02a.cha, line 1446 · Anne 1;10
  3. let's have a look in this one . MOT · eng_british_Manchester_I/anne02a.cha, line 1456 · Anne 1;10
  4. let's look at it . MOT · eng_british_Manchester_I/anne02a.cha, line 1703 · Anne 1;10
  5. let's see what else we can find . MOT · eng_british_Manchester_I/anne02a.cha, line 1983 · Anne 1;10
  6. let's see if we can find the Cindy dollys . MOT · eng_british_Manchester_I/anne02a.cha, line 2023 · Anne 1;10
  7. let's see what they're doing ? MOT · eng_british_Manchester_I/anne02a.cha, line 2026 · Anne 1;10
  1. CHIin sky .
    MOTit's not going in the sky .
    MOT*MOT: come on down then and let's see if we can +//.
    MOToh .
    MOTsee what we can find now .
  2. CHIwant cupboard .
    MOTwell they're just magazines ,, aren't they ?
    MOT*MOT: let's see if we can find the Early_Learning_Centre catalogue .
    MOTnow .
    MOTit's gone, Anne .
  3. MOTit's gone, Anne .
    MOT<there's not> [//] there's nothing very interesting .
    MOT*MOT: let's have a look in this one .
    MOTthis is like grandma's, Anne .
    MOTshall we see if we can find the prams ?
  4. MOToh there we are .
    CHIxxx look xxx .
    MOT*MOT: let's look at it .
    MOTyeah .
    MOTnow where were we ?
  5. CHIyeah .
    MOTyeah .
    MOT*MOT: let's see what else we can find .
    CHImore toys .
    MOTmore toys .
  6. MOTwhat are they doing ?
    MOTI'm not sure .
    MOT*MOT: let's see if we can find the Cindy dollys .
    MOTlet's see what they're doing ?
    CHIxxx house .
  7. MOTI'm not sure .
    MOTlet's see if we can find the Cindy dollys .
    MOT*MOT: let's see what they're doing ?
    CHIxxx house .
    CHIxxx .

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_I3.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne02a.chaAnne 1;10.212,108773.32

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. let's7 · 100.0%