PHPCLANCHILDES with regular expressions

5 matches in 5 utterances

2.45 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (897 utterances, 2,044 words searched).

  1. puchin@o suru yo . %mov:"20726"_11109_12022 FAT · japanese_ishii/20726.cha, line 20 · Jun 2;07
  2. doo suru ? %mov:"20726"_353415_354191 FAT · japanese_ishii/20726.cha, line 191 · Jun 2;07
  3. doo suru ? %mov:"20726"_354737_355920 FAT · japanese_ishii/20726.cha, line 193 · Jun 2;07
  4. nani suru [>] ? %mov:"20726"_1077981_1079438 FAT · japanese_ishii/20726.cha, line 563 · Jun 2;07
  5. doo suru ? %mov:"20726"_2042391_2043132 FAT · japanese_ishii/20726.cha, line 1183 · Jun 2;07
  1. FATJunkun kotchi ya [<] . %mov:"20726"_7831_9482
    FATkoko kona [: konai to] . %mov:"20726"_9482_11109
    FAT*FAT: puchin@o suru yo . %mov:"20726"_11109_12022
    CHIhona, koko ya . %mov:"20726"_12022_13944
    FATOtoosan kotchi iku no ? %mov:"20726"_13944_16838
  2. CHIikenai yan . %mov:"20726"_351740_352742
    FATsoo ka ? %mov:"20726"_352742_353415
    FAT*FAT: doo suru ? %mov:"20726"_353415_354191
    CHIhore . %mov:"20726"_354191_354737
    FATdoo suru ? %mov:"20726"_354737_355920
  3. FATdoo suru ? %mov:"20726"_353415_354191
    CHIhore . %mov:"20726"_354191_354737
    FAT*FAT: doo suru ? %mov:"20726"_354737_355920
    CHIikenai [/] ikenai . %mov:"20726"_355920_357630
    FATikenai ka ? %mov:"20726"_357630_358873
  4. CHItoreta wa . %mov:"20726"_1072537_1075316
    CHInani shoo ka na ? %mov:"20726"_1075316_1077981
    FAT*FAT: nani suru [>] ? %mov:"20726"_1077981_1079438
    CHIgohon miyoo [<] . %mov:"20726"_1077981_1079438
    FATgohon miyo ka . %mov:"20726"_1079438_1080175
  5. CHIkore ga . %mov:"20726"_2041087_2041621
    FATchii detekuru wa . %mov:"20726"_2041621_2042391
    FAT*FAT: doo suru ? %mov:"20726"_2042391_2043132
    CHIOtoosan chii detekuru ? %mov:"20726"_2043132_2045976
    CHIsaatara [: swattara] akan de . %mov:"20726"_2045976_2047976

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_ishii2.45
All transcripts as a table
TranscriptChildAgeWordsUtterances matchedMatchesPer 1,000 words
japanese_ishii/20726.chaJun 2;7.262,044552.45

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. suru5 · 100.0%