PHPCLANCHILDES with regular expressions

6 matches in 3 utterances

2.80 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (597 utterances, 2,143 words searched).

  1. shall we see if we can build one that's as big as Anne ? MOT · eng_british_Manchester_I/anne09b.cha, line 1255 · Anne 2;00
  2. shall we see if we can build one that's as big as Anne ? MOT · eng_british_Manchester_I/anne09b.cha, line 1255 · Anne 2;00
  3. is it as big as Anne ? MOT · eng_british_Manchester_I/anne09b.cha, line 1429 · Anne 2;00
  4. is it as big as Anne ? MOT · eng_british_Manchester_I/anne09b.cha, line 1429 · Anne 2;00
  5. as big as Anne ? MOT · eng_british_Manchester_I/anne09b.cha, line 1435 · Anne 2;00
  6. as big as Anne ? MOT · eng_british_Manchester_I/anne09b.cha, line 1435 · Anne 2;00
  1. eng_british_Manchester_I/anne09b.cha, line 1255 · Anne, 2;0.29
    MOTlet's build a tower then .
    MOTreally quickly .
    MOT*MOT: shall we see if we can build one that's as big as Anne ?
    CHImmhm .
    CHIbit higher .
  2. eng_british_Manchester_I/anne09b.cha, line 1429 · Anne, 2;0.29
    MOTyeah .
    MOTthere .
    MOT*MOT: is it as big as Anne ?
    CHIyes .
    CHIbig as Anne .
  3. eng_british_Manchester_I/anne09b.cha, line 1435 · Anne, 2;0.29
    CHIyes .
    CHIbig as Anne .
    MOT*MOT: as big as Anne ?
    INVoh .
    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_I2.80
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne09b.chaAnne 2;0.292,143362.80

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. as6 · 100.0%