PHPCLANCHILDES with regular expressions

8 matches in 8 utterances

5.26 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (340 utterances, 1,521 words searched).

  1. which other one ? MOT · eng_british_Manchester_II/warr14b.cha, line 683 · Warren 2;02
  2. other what ? MOT · eng_british_Manchester_II/warr14b.cha, line 687 · Warren 2;02
  3. have you lost the other man now ? MOT · eng_british_Manchester_II/warr14b.cha, line 733 · Warren 2;02
  4. now put the other one with a bit hanging over the edge . MOT · eng_british_Manchester_II/warr14b.cha, line 775 · Warren 2;02
  5. other one what ? MOT · eng_british_Manchester_II/warr14b.cha, line 865 · Warren 2;02
  6. where's the other man ? MOT · eng_british_Manchester_II/warr14b.cha, line 974 · Warren 2;02
  7. where's the other one ? MOT · eng_british_Manchester_II/warr14b.cha, line 1001 · Warren 2;02
  8. other way round . MOT · eng_british_Manchester_II/warr14b.cha, line 1232 · Warren 2;02
  1. MOTwhat're you doing ?
    CHIwhere's that other one ?
    MOT*MOT: which other one ?
    CHIother one gone .
    MOTother what ?
  2. MOTwhich other one ?
    CHIother one gone .
    MOT*MOT: other what ?
    CHIhippo gone .
    MOTthe hippo ?
  3. CHIthat go on there .
    CHIhe goes on there .
    MOT*MOT: have you lost the other man now ?
    CHIthere .
    CHIhello .
  4. MOTright up next to it .
    MOTthat's it .
    MOT*MOT: now put the other one with a bit hanging over the edge .
    CHIthat one goes off there .
    MOTthat one goes there yes .
  5. MOTwhat're you looking for ?
    CHIother one .
    MOT*MOT: other one what ?
    CHIanother one .
    CHIlooking another one .
  6. CHImen .
    CHIwhere 0has [*] other men gone ?
    MOT*MOT: where's the other man ?
    MOTare you sitting on him ?
    MOTno .
  7. CHIwhere 0has [*] other one gone ?
    MOTone two .
    MOT*MOT: where's the other one ?
    MOTyou had him a minute ago .
    MOTstand up and have a look .
  8. MOTthat's it .
    MOTnow put the funnel on the top .
    MOT*MOT: other way round .
    MOTwith the light at the front .
    MOTthat's it .

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. Warren eng_british_Manchester_II5.26
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr14b.chaWarren 2;2.181,521885.26

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. other8 · 100.0%