PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.99 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (311 utterances, 1,674 words searched).

  1. well how many wheels has he got altogether ? MOT · eng_british_Manchester_II/warr21a.cha, line 392 · Warren 2;05
  2. he's got two at the front and two at the back but how many are there altogether ? MOT · eng_british_Manchester_II/warr21a.cha, line 395 · Warren 2;05
  3. how many are there ? MOT · eng_british_Manchester_II/warr21a.cha, line 402 · Warren 2;05
  4. we haven't got many small vehicles really . MOT · eng_british_Manchester_II/warr21a.cha, line 878 · Warren 2;05
  5. we haven't got many small vehicles you see . MOT · eng_british_Manchester_II/warr21a.cha, line 966 · Warren 2;05
  1. eng_british_Manchester_II/warr21a.cha, line 392 · Warren, 2;5.13
    MOTyeah .
    CHIhe 0has [*] got <two little> [/] two little wheels .
    MOT*MOT: well how many wheels has he got altogether ?
    MOThe's got two at the front and two at the back but how many are there altogether ?
    MOTbecause all these wheels .
  2. eng_british_Manchester_II/warr21a.cha, line 395 · Warren, 2;5.13
    CHIhe 0has [*] got <two little> [/] two little wheels .
    MOTwell how many wheels has he got altogether ?
    MOT*MOT: he's got two at the front and two at the back but how many are there altogether ?
    MOTbecause all these wheels .
    MOThow many are there ?
  3. eng_british_Manchester_II/warr21a.cha, line 402 · Warren, 2;5.13
    MOThe's got two at the front and two at the back but how many are there altogether ?
    MOTbecause all these wheels .
    MOT*MOT: how many are there ?
    CHIone two three four .
    MOTthat's it .
  4. eng_british_Manchester_II/warr21a.cha, line 878 · Warren, 2;5.13
    CHIthere's another vehicle .
    CHIthem go over there .
    MOT*MOT: we haven't got many small vehicles really .
    CHIit's bump [*] .
    CHIthat one is bumped .
  5. eng_british_Manchester_II/warr21a.cha, line 966 · Warren, 2;5.13
    MOTyou want another little one ?
    MOTxxx .
    MOT*MOT: we haven't got many small vehicles you see .
    MOToh that might fit under .
    MOToh here's a small one .

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_II2.99
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr21a.chaWarren 2;5.131,674552.99

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. many5 · 100.0%