PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

3.58 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (276 utterances, 559 words searched).

  1. toremashita kaa . %mov:"00907"_811162_813961 FAT · japanese_ishii/00907.cha, line 498 · Jun 0;09
  2. tore mashita kaa . %mov:"00907"_813961_817567 FAT · japanese_ishii/00907.cha, line 500 · Jun 0;09
  1. japanese_ishii/00907.cha, line 498 · Jun, 0;9.07
    FATaa a . %mov:"00907"_807913_809272
    FATaa a . %mov:"00907"_809272_810880
    FAT*FAT: toremashita kaa . %mov:"00907"_811162_813961
    FATtore mashita kaa . %mov:"00907"_813961_817567
    CHIa . %mov:"00907"_821744_822560
  2. japanese_ishii/00907.cha, line 500 · Jun, 0;9.07
    FATaa a . %mov:"00907"_809272_810880
    FATtoremashita kaa . %mov:"00907"_811162_813961
    FAT*FAT: tore mashita kaa . %mov:"00907"_813961_817567
    CHIa . %mov:"00907"_821744_822560
    FATyoisho . %mov:"00907"_828445_832110

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. Jun japanese_ishii3.58
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/00907.chaJun 0;9.07559223.58

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. kaa2 · 100.0%