PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

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

  1. yeah . MOT · eng_british_Manchester_I/becky29a.cha, line 114 · Becky 2;10
  2. yeah . MOT · eng_british_Manchester_I/becky29a.cha, line 504 · Becky 2;10
  3. yeah . MOT · eng_british_Manchester_I/becky29a.cha, line 1035 · Becky 2;10
  4. yeah . MOT · eng_british_Manchester_I/becky29a.cha, line 1198 · Becky 2;10
  5. yeah . MOT · eng_british_Manchester_I/becky29a.cha, line 1237 · Becky 2;10
  6. yeah . MOT · eng_british_Manchester_I/becky29a.cha, line 1369 · Becky 2;10
  1. eng_british_Manchester_I/becky29a.cha, line 114 · Becky, 2;10.11
    MOTwhat were we looking for ?
    CHII don't know .
    MOT*MOT: yeah .
    MOTwhat we were looking for on the beach .
    MOTwe kept picking them up , didn't we ?
  2. eng_british_Manchester_I/becky29a.cha, line 504 · Becky, 2;10.11
    CHIthese are +//.
    CHIthey fall down .
    MOT*MOT: yeah .
    MOTthey don't stand up very well on the carpet , do they ?
    CHIoh .
  3. eng_british_Manchester_I/becky29a.cha, line 1035 · Becky, 2;10.11
    MOTwhat are these ?
    CHIone .
    MOT*MOT: yeah .
    MOTwhat are they ?
    CHItwo three .
  4. eng_british_Manchester_I/becky29a.cha, line 1198 · Becky, 2;10.11
    CHIcan we do the anchor there ?
    CHIthat's a anchor .
    MOT*MOT: yeah .
    MOTbut you have to write the number there of how many there are .
    MOTso are you going to count them for me ?
  5. eng_british_Manchester_I/becky29a.cha, line 1237 · Becky, 2;10.11
    MOTuse your finger .
    CHIone two three .
    MOT*MOT: yeah .
    MOTtwo boats and a Becky .
    MOTis that what you counted ?
  6. eng_british_Manchester_I/becky29a.cha, line 1369 · Becky, 2;10.11
    MOTyou can use my finger to help you .
    CHIone two three four .
    MOT*MOT: yeah .
    MOTthree mermaids and a Becky again .
    CHIyeah .

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_I3.02
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/becky29a.chaBecky 2;10.111,988663.02

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. yeah6 · 100.0%