PHPCLANCHILDES with regular expressions

8 matches in 7 utterances

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

  1. you find the man , lazybones . MOT · eng_british_Manchester_II/warr14b.cha, line 265 · Warren 2;02
  2. Mummy's found another man . MOT · eng_british_Manchester_II/warr14b.cha, line 502 · Warren 2;02
  3. you've got a man on a tiger and a man on a horse . MOT · eng_british_Manchester_II/warr14b.cha, line 630 · Warren 2;02
  4. you've got a man on a tiger and a man on a horse . MOT · eng_british_Manchester_II/warr14b.cha, line 630 · Warren 2;02
  5. shall we have a man on an elephant ? MOT · eng_british_Manchester_II/warr14b.cha, line 633 · Warren 2;02
  6. or the man . MOT · eng_british_Manchester_II/warr14b.cha, line 695 · Warren 2;02
  7. have you lost the other man now ? MOT · eng_british_Manchester_II/warr14b.cha, line 733 · Warren 2;02
  8. where's the other man ? MOT · eng_british_Manchester_II/warr14b.cha, line 974 · Warren 2;02
  1. MOTyeah .
    CHIfind a man .
    MOT*MOT: you find the man , lazybones .
    CHIMummy find lazybones , Mummy .
    MOTpardon ?
  2. MOTI think that was a somewhat summarized version .
    CHIfind another men [*] .
    MOT*MOT: Mummy's found another man .
    MOTno .
    MOTI've only got one .
  3. CHIthat one [= man] go on that one [= horse] .
    MOToh .
    MOT*MOT: you've got a man on a tiger and a man on a horse .
    MOTshall we have a man on an elephant ?
    CHIyeah .
  4. MOToh .
    MOTyou've got a man on a tiger and a man on a horse .
    MOT*MOT: shall we have a man on an elephant ?
    CHIyeah .
    MOTthree men riding three animals .
  5. MOTthe hippo ?
    CHIno .
    MOT*MOT: or the man .
    CHIman .
    CHIwhere 0is [*] the other man ?
  6. CHIthat go on there .
    CHIhe goes on there .
    MOT*MOT: have you lost the other man now ?
    CHIthere .
    CHIhello .
  7. CHImen .
    CHIwhere 0has [*] other men gone ?
    MOT*MOT: where's the other man ?
    MOTare you sitting on him ?
    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. Warren eng_british_Manchester_II5.26
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr14b.chaWarren 2;2.181,521785.26

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. man8 · 100.0%