PHPCLANCHILDES with regular expressions

5 matches in 4 utterances

2.32 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (408 utterances, 2,153 words searched).

  1. need a piece with two straight edges . MOT · eng_british_Manchester_II/warr29a.cha, line 741 · Warren 2;07
  2. can you see how that one's got two straight edges ? MOT · eng_british_Manchester_II/warr29a.cha, line 743 · Warren 2;07
  3. we need a straight edge there and a straight edge there . MOT · eng_british_Manchester_II/warr29a.cha, line 746 · Warren 2;07
  4. we need a straight edge there and a straight edge there . MOT · eng_british_Manchester_II/warr29a.cha, line 746 · Warren 2;07
  5. I don't think that one will fit on straight away , will it ? MOT · eng_british_Manchester_II/warr29a.cha, line 824 · Warren 2;07
  1. eng_british_Manchester_II/warr29a.cha, line 741 · Warren, 2;7.21
    CHIthat can go there .
    MOTno .
    MOT*MOT: need a piece with two straight edges .
    MOTcan you see how that one's got two straight edges ?
    MOTwe need a straight edge there and a straight edge there .
  2. eng_british_Manchester_II/warr29a.cha, line 743 · Warren, 2;7.21
    MOTno .
    MOTneed a piece with two straight edges .
    MOT*MOT: can you see how that one's got two straight edges ?
    MOTwe need a straight edge there and a straight edge there .
    MOTcan you see one with a little bit of carrot on ?
  3. eng_british_Manchester_II/warr29a.cha, line 746 · Warren, 2;7.21
    MOTneed a piece with two straight edges .
    MOTcan you see how that one's got two straight edges ?
    MOT*MOT: we need a straight edge there and a straight edge there .
    MOTcan you see one with a little bit of carrot on ?
    MOTcarrot ?
  4. eng_british_Manchester_II/warr29a.cha, line 824 · Warren, 2;7.21
    CHIgoes there .
    MOTmaybe you need some more pieces before that one will fit on properly .
    MOT*MOT: I don't think that one will fit on straight away , will it ?
    CHIit's got two there .
    MOTtwo what ?

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_II2.32
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
eng_british_Manchester_II/warr29a.chaWarren 2;7.212,153452.32

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. straight5 · 100.0%