PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.52 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (562 utterances, 1,988 words searched).

  1. think you've got to count on this one . MOT · eng_british_Manchester_I/becky29a.cha, line 1010 · Becky 2;10
  2. and see if you can count them . MOT · eng_british_Manchester_I/becky29a.cha, line 1047 · Becky 2;10
  3. so are you going to count them for me ? MOT · eng_british_Manchester_I/becky29a.cha, line 1203 · Becky 2;10
  4. count my finger . MOT · eng_british_Manchester_I/becky29a.cha, line 1206 · Becky 2;10
  5. are you going to count them then ? MOT · eng_british_Manchester_I/becky29a.cha, line 1355 · Becky 2;10
  1. eng_british_Manchester_I/becky29a.cha, line 1010 · Becky, 2;10.11
    CHIxxx .
    MOTnow then .
    MOT*MOT: think you've got to count on this one .
    CHIxxx .
    MOTtell me what they are .
  2. eng_british_Manchester_I/becky29a.cha, line 1047 · Becky, 2;10.11
    MOTtreasure chests .
    MOTuse your finger now .
    MOT*MOT: and see if you can count them .
    CHIone two three +...
    MOTthat's right .
  3. eng_british_Manchester_I/becky29a.cha, line 1203 · Becky, 2;10.11
    MOTyeah .
    MOTbut you have to write the number there of how many there are .
    MOT*MOT: so are you going to count them for me ?
    MOTcount my finger .
    CHIone two three four five .
  4. eng_british_Manchester_I/becky29a.cha, line 1206 · Becky, 2;10.11
    MOTbut you have to write the number there of how many there are .
    MOTso are you going to count them for me ?
    MOT*MOT: count my finger .
    CHIone two three four five .
    MOTfive .
  5. eng_british_Manchester_I/becky29a.cha, line 1355 · Becky, 2;10.11
    CHIyeah .
    CHIyes .
    MOT*MOT: are you going to count them then ?
    CHIone two three four five six .
    MOTno .

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_I2.52
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky29a.chaBecky 2;10.111,988552.52

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. count5 · 100.0%