PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

3.99 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (457 utterances, 1,502 words searched).

  1. shall we make a fence for them ? MOT · eng_british_Manchester_I/becky01b.cha, line 192 · Becky 2;00
  2. can you make a fence with those ? MOT · eng_british_Manchester_I/becky01b.cha, line 214 · Becky 2;00
  3. he's standing on the fence . MOT · eng_british_Manchester_I/becky01b.cha, line 827 · Becky 2;00
  4. do you want the monkey to stand on the fence ? MOT · eng_british_Manchester_I/becky01b.cha, line 1200 · Becky 2;00
  5. shall I put him on the fence ? MOT · eng_british_Manchester_I/becky01b.cha, line 1205 · Becky 2;00
  6. more fence ? MOT · eng_british_Manchester_I/becky01b.cha, line 1241 · Becky 2;00
  1. eng_british_Manchester_I/becky01b.cha, line 192 · Becky, 2;0.07
    MOTgiraffe ?
    CHIyeah .
    MOT*MOT: shall we make a fence for them ?
    CHIa xxx .
    MOTyeah ?
  2. eng_british_Manchester_I/becky01b.cha, line 214 · Becky, 2;0.07
    MOTlook .
    MOTtiger's having a ride .
    MOT*MOT: can you make a fence with those ?
    CHIxxx .
    CHIxxx .
  3. eng_british_Manchester_I/becky01b.cha, line 827 · Becky, 2;0.07
    CHIoh .
    MOTlook at the monkey .
    MOT*MOT: he's standing on the fence .
    CHIxxx .
    CHIone ?
  4. eng_british_Manchester_I/becky01b.cha, line 1200 · Becky, 2;0.07
    CHIa monkey in .
    MOTmonkey in .
    MOT*MOT: do you want the monkey to stand on the fence ?
    CHIyeah .
    MOTshall I put him on the fence ?
  5. eng_british_Manchester_I/becky01b.cha, line 1205 · Becky, 2;0.07
    MOTdo you want the monkey to stand on the fence ?
    CHIyeah .
    MOT*MOT: shall I put him on the fence ?
    MOTthere he goes .
    MOTisn't that clever ?
  6. eng_british_Manchester_I/becky01b.cha, line 1241 · Becky, 2;0.07
    CHImore fence .
    CHImore fence .
    MOT*MOT: more fence ?
    CHIyeah .
    CHImore gate .

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. Becky eng_british_Manchester_I3.99
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky01b.chaBecky 2;0.071,502663.99

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. fence6 · 100.0%