PHPCLANCHILDES with regular expressions

3 matches in 3 utterances

3.33 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (171 utterances, 901 words searched).

  1. <thank you> [<] . MOT · bilingual_eng_Deuchar/870728er.cha, line 93 · M 2;01
  2. thank you [>] . MOT · bilingual_eng_Deuchar/870728er.cha, line 97 · M 2;01
  3. thank you . RAY · bilingual_eng_Deuchar/870728er.cha, line 227 · M 2;01
  1. bilingual_eng_Deuchar/870728er.cha, line 93 · M, 2;1.03
    CHItea tea # mmm make tea .
    CHI<thank you> [>] .
    MOT*MOT: <thank you> [<] .
    CHIthank you .
    MOTthank you [>] .
  2. bilingual_eng_Deuchar/870728er.cha, line 97 · M, 2;1.03
    MOT<thank you> [<] .
    CHIthank you .
    MOT*MOT: thank you [>] .
    CHI<me make> [<] Rayna's tea .
    CHImake .
  3. bilingual_eng_Deuchar/870728er.cha, line 227 · M, 2;1.03
    MOThere's a bath .
    CHIno bath Rayna .
    RAY*RAY: thank you .
    CHIyyy mummy .
    MOTI've done one already # I've done two baths already .

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. M bilingual_eng_Deuchar3.33
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
bilingual_eng_Deuchar/870728er.chaM 2;1.03901333.33

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. thank3 · 100.0%