PHPCLANCHILDES with regular expressions

6 matches in 6 utterances

2.61 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (572 utterances, 2,302 words searched).

  1. I'm not sure where the trousers are . MOT · eng_british_Manchester_I/anne29b.cha, line 432 · Anne 2;07
  2. there's the pajama trousers , look . MOT · eng_british_Manchester_I/anne29b.cha, line 455 · Anne 2;07
  3. pull my trousers up . MOT · eng_british_Manchester_I/anne29b.cha, line 1184 · Anne 2;07
  4. um have you got some trousers that would fit my dancing bear ? MOT · eng_british_Manchester_I/anne29b.cha, line 1210 · Anne 2;07
  5. <that's trousers> [>] . MOT · eng_british_Manchester_I/anne29b.cha, line 1509 · Anne 2;07
  6. <they don't> [/] they don't need the trousers . MOT · eng_british_Manchester_I/anne29b.cha, line 1526 · Anne 2;07
  1. eng_british_Manchester_I/anne29b.cha, line 432 · Anne, 2;7.28
    MOTwell .
    MOTI've got a pajama top .
    MOT*MOT: I'm not sure where the trousers are .
    MOTperhaps I'd better +/.
    CHIthere they are .
  2. eng_british_Manchester_I/anne29b.cha, line 455 · Anne, 2;7.28
    MOTI've got a slipper .
    MOToh .
    MOT*MOT: there's the pajama trousers , look .
    MOTthere's the hat .
    CHII 0have [*] got take one .
  3. eng_british_Manchester_I/anne29b.cha, line 1184 · Anne, 2;7.28
    MOThere I come .
    MOToh .
    MOT*MOT: pull my trousers up .
    MOTright .
    MOTI'm going to bring my dancing bear this time .
  4. eng_british_Manchester_I/anne29b.cha, line 1210 · Anne, 2;7.28
    MOTgot him ?
    MOThello , lady in the shop .
    MOT*MOT: um have you got some trousers that would fit my dancing bear ?
    CHIno .
    MOThaven't you ?
  5. eng_british_Manchester_I/anne29b.cha, line 1509 · Anne, 2;7.28
    MOTno .
    MOTnot that one .
    MOT*MOT: <that's trousers> [>] .
    CHI<this is trousers> [<] .
    MOTthis one , look .
  6. eng_british_Manchester_I/anne29b.cha, line 1526 · Anne, 2;7.28
    MOTa cover .
    MOTthere we are .
    MOT*MOT: <they don't> [/] they don't need the trousers .
    MOTthey're going fast asleep now .
    MOToh .

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. Anne eng_british_Manchester_I2.61
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne29b.chaAnne 2;7.282,302662.61

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. trousers6 · 100.0%