PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.66 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (456 utterances, 1,879 words searched).

  1. will you have a look at this teddy+bear please because I think he's very poorly but I don't know what's wrong with him . MOT · eng_british_Manchester_I/anne31b.cha, line 65 · Anne 2;08
  2. he's got a few nasty spots ,, hasn't he , look ? MOT · eng_british_Manchester_I/anne31b.cha, line 97 · Anne 2;08
  3. he's got one there . MOT · eng_british_Manchester_I/anne31b.cha, line 100 · Anne 2;08
  4. he's got such a tiny arm as well . MOT · eng_british_Manchester_I/anne31b.cha, line 194 · Anne 2;08
  5. he's got his wellys on , look . MOT · eng_british_Manchester_I/anne31b.cha, line 717 · Anne 2;08
  1. eng_british_Manchester_I/anne31b.cha, line 65 · Anne, 2;8.24
    MOThello , doctor .
    CHIhello .
    MOT*MOT: will you have a look at this teddy+bear please because I think he's very poorly but I don't know what's wrong with him .
    CHIxxx .
    MOThas he got spots on him ?
  2. eng_british_Manchester_I/anne31b.cha, line 97 · Anne, 2;8.24
    MOTyes .
    MOThe has .
    MOT*MOT: he's got a few nasty spots ,, hasn't he , look ?
    MOThe's got one there .
    MOTand one there .
  3. eng_british_Manchester_I/anne31b.cha, line 100 · Anne, 2;8.24
    MOThe has .
    MOThe's got a few nasty spots ,, hasn't he , look ?
    MOT*MOT: he's got one there .
    MOTand one there .
    MOTand one on his bow .
  4. eng_british_Manchester_I/anne31b.cha, line 194 · Anne, 2;8.24
    MOTpoorly arm .
    MOToh .
    MOT*MOT: he's got such a tiny arm as well .
    MOTI think he needs some cream on it .
    CHIgot it .
  5. eng_british_Manchester_I/anne31b.cha, line 717 · Anne, 2;8.24
    CHIthink it's summer .
    MOTdo you ?
    MOT*MOT: he's got his wellys on , look .
    MOToh .
    MOThow many slides can you count ?

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_I2.66
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_I/anne31b.chaAnne 2;8.241,879552.66

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. he's5 · 100.0%