PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.81 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (526 utterances, 1,777 words searched).

  1. what did you say he was ? MOT · eng_british_Manchester_I/gail04a.cha, line 267 · Gail 2;00
  2. what do you say ? MOT · eng_british_Manchester_I/gail04a.cha, line 687 · Gail 2;00
  3. what do you say ? MOT · eng_british_Manchester_I/gail04a.cha, line 689 · Gail 2;00
  4. what does mole say in the video ? MOT · eng_british_Manchester_I/gail04a.cha, line 1650 · Gail 2;00
  5. and why does he say that ? MOT · eng_british_Manchester_I/gail04a.cha, line 1656 · Gail 2;00
  1. eng_british_Manchester_I/gail04a.cha, line 267 · Gail, 2;0.25
    CHIxxx .
    MOThe's the what ?
    MOT*MOT: what did you say he was ?
    MOTis he +//.
    MOThe's the engineer .
  2. eng_british_Manchester_I/gail04a.cha, line 687 · Gail, 2;0.25
    CHIThomas .
    MOTthere .
    MOT*MOT: what do you say ?
    MOTwhat do you say ?
    INVthere you are .
  3. eng_british_Manchester_I/gail04a.cha, line 689 · Gail, 2;0.25
    MOTthere .
    MOTwhat do you say ?
    MOT*MOT: what do you say ?
    INVthere you are .
    CHIthank you .
  4. eng_british_Manchester_I/gail04a.cha, line 1650 · Gail, 2;0.25
    MOTfrom your video .
    MOTdid she draw mole ?
    MOT*MOT: what does mole say in the video ?
    CHIsorry .
    MOTsorry .
  5. eng_british_Manchester_I/gail04a.cha, line 1656 · Gail, 2;0.25
    CHIsorry .
    MOTsorry .
    MOT*MOT: and why does he say that ?
    CHIum in bed .
    MOTkeeps getting in the wrong bed , doesn't he ?

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. Gail eng_british_Manchester_I2.81
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/gail04a.chaGail 2;0.251,777552.81

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. say5 · 100.0%