PHPCLANCHILDES with regular expressions

7 matches in 7 utterances

3.15 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (628 utterances, 2,221 words searched).

  1. I'd better sort some out because otherwise there might be a bit too many . MOT · eng_british_Manchester_I/anne19a.cha, line 382 · Anne 2;04
  2. let's see if we can find some to do . MOT · eng_british_Manchester_I/anne19a.cha, line 387 · Anne 2;04
  3. you do that one and I'll find some more . MOT · eng_british_Manchester_I/anne19a.cha, line 668 · Anne 2;04
  4. can you see some ? MOT · eng_british_Manchester_I/anne19a.cha, line 818 · Anne 2;04
  5. count some more . MOT · eng_british_Manchester_I/anne19a.cha, line 1620 · Anne 2;04
  6. can you see some shoes ? MOT · eng_british_Manchester_I/anne19a.cha, line 1867 · Anne 2;04
  7. that'll save some effort ,, willn't it ? MOT · eng_british_Manchester_I/anne19a.cha, line 1991 · Anne 2;04
  1. MOToh .
    MOTnow .
    MOT*MOT: I'd better sort some out because otherwise there might be a bit too many .
    MOTlet's see if we can find some to do .
    MOThang on .
  2. MOTnow .
    MOTI'd better sort some out because otherwise there might be a bit too many .
    MOT*MOT: let's see if we can find some to do .
    MOThang on .
    MOTmove back a bit .
  3. CHInot done these ones yet .
    MOTalright .
    MOT*MOT: you do that one and I'll find some more .
    CHIno .
    CHII can't done [*] it .
  4. CHI&a leafs .
    MOTokay .
    MOT*MOT: can you see some ?
    CHIthere .
    MOTwhat're you doing ?
  5. CHIone two three are you ready ?
    MOTno .
    MOT*MOT: count some more .
    CHIone two three .
    CHIMum .
  6. MOToh .
    MOTthere's the boots .
    MOT*MOT: can you see some shoes ?
    CHIwhere's the boots ?
    MOTboots .
  7. CHIand two .
    MOTshall we get both together .
    MOT*MOT: that'll save some effort ,, willn't it ?
    MOTthere we are .
    CHIthank you .

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_I3.15
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne19a.chaAnne 2;4.122,221773.15

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. some7 · 100.0%