PHPCLANCHILDES with regular expressions

4 matches in 4 utterances

6.57 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (232 utterances, 609 words searched).

  1. aa, doo natteta [: natte ita] no ? %mov:"10206"_125500_127189 FAT · japanese_ishii/10206.cha, line 90 · Jun 1;02
  2. doo natteta [: natte ita] ka naa . %mov:"10206"_133478_135391 FAT · japanese_ishii/10206.cha, line 97 · Jun 1;02
  3. kore (wa) doo shoo [: shiyou] . %mov:"10206"_477681_479551 FAT · japanese_ishii/10206.cha, line 294 · Jun 1;02
  4. doo shoo [: shiyou] . %mov:"10206"_481345_481894 FAT · japanese_ishii/10206.cha, line 296 · Jun 1;02
  1. japanese_ishii/10206.cha, line 90 · Jun, 1;02.06
    FATaa ? %mov:"10206"_112550_117934
    CHIa a a . %mov:"10206"_117934_125500
    FAT*FAT: aa, doo natteta [: natte ita] no ? %mov:"10206"_125500_127189
    CHIa a . %mov:"10206"_127189_128146
    FATaa, soo natteta [: natte ita] no . %mov:"10206"_128146_131226
  2. japanese_ishii/10206.cha, line 97 · Jun, 1;02.06
    CHIaa aa . %mov:"10206"_131226_132300
    FATaa aa, yoshi . %mov:"10206"_132300_133478
    FAT*FAT: doo natteta [: natte ita] ka naa . %mov:"10206"_133478_135391
    FATkore wa koo yaro [: darou] ? %mov:"10206"_135391_136543
    FATyoshi, naoshiteyaru zoo . %mov:"10206"_136543_138500
  3. japanese_ishii/10206.cha, line 294 · Jun, 1;02.06
    FATare ? %mov:"10206"_473512_475344
    FATbuu@o (wa) iku ka ? %mov:"10206"_475344_477681
    FAT*FAT: kore (wa) doo shoo [: shiyou] . %mov:"10206"_477681_479551
    FATmoshitotsu [: mou hitotsu] taiya (ga) aru . %mov:"10206"_479551_481345
    FATdoo shoo [: shiyou] . %mov:"10206"_481345_481894
  4. japanese_ishii/10206.cha, line 296 · Jun, 1;02.06
    FATkore (wa) doo shoo [: shiyou] . %mov:"10206"_477681_479551
    FATmoshitotsu [: mou hitotsu] taiya (ga) aru . %mov:"10206"_479551_481345
    FAT*FAT: doo shoo [: shiyou] . %mov:"10206"_481345_481894
    CHIaa aa . %mov:"10206"_481894_490446
    FATa, soko (ni) tsuken [: tsukeru] no [>] . %mov:"10206"_490446_493591

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_ishii6.57
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/10206.chaJun 1;02.06609446.57

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. doo4 · 100.0%