PHPCLANCHILDES with regular expressions

2 matches in 2 utterances

2.04 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (428 utterances, 981 words searched).

  1. bashu atta ? %mov:"20225"_558894_559708 FAT · japanese_ishii/20225.cha, line 334 · Jun 2;02
  2. bashu wa kowashita no . %mov:"20225"_1421291_1422482 FAT · japanese_ishii/20225.cha, line 639 · Jun 2;02
  1. japanese_ishii/20225.cha, line 334 · Jun, 2;2.25
    FATe ? %mov:"20225"_557281_557940
    CHIbashu . %mov:"20225"_557940_558894
    FAT*FAT: bashu atta ? %mov:"20225"_558894_559708
    FATkore kashite . %mov:"20225"_559708_593144
    CHIkatte . %mov:"20225"_593144_594091
  2. japanese_ishii/20225.cha, line 639 · Jun, 2;2.25
    FATkowashita n ya,, taiya . %mov:"20225"_1416787_1418994
    CHIbashu wa kowattan na . %mov:"20225"_1418994_1421291
    FAT*FAT: bashu wa kowashita no . %mov:"20225"_1421291_1422482
    CHItoakku kowatta no . %mov:"20225"_1422482_1425082
    FATtora [//] torakku mo kowashita no . %mov:"20225"_1425082_1426559

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_ishii2.04
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20225.chaJun 2;2.25981222.04

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. bashu2 · 100.0%