PHPCLANCHILDES with regular expressions

Regular expression

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More conditions (like a second grep)

The utterance must also match

…and must not match

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Context

Ignore case Whole words

Scope One transcript: french/lyon_nat39b.cha change

Searching only french/lyon_nat39b.cha. Search all transcripts instead

6 matches in 5 utterances

12.77 per 1,000 words of the child (CHI), in 1 of 1 transcripts (240 utterances, 470 words searched).

Concordance Utterances Distribution Matched forms

eh c'est pas rechanter maman ! 83973_89482 CHI · french/lyon_nat39b.cha, line 139 · Nathan 2;09
<(re)ga(rde) Maman> [/] (re)ga(rde) Maman ! 167263_172850 CHI · french/lyon_nat39b.cha, line 211 · Nathan 2;09
<(re)ga(rde) Maman> [/] (re)ga(rde) Maman ! 167263_172850 CHI · french/lyon_nat39b.cha, line 211 · Nathan 2;09
regarde maman . CHI · french/lyon_nat39b.cha, line 221 · Nathan 2;09
‹Maman (.)› lequel +/? CHI · french/lyon_nat39b.cha, line 891 · Nathan 2;09
<regarde Maman> [?] . 712210_715140 CHI · french/lyon_nat39b.cha, line 904 · Nathan 2;09

One dot per transcript: matches per 1,000 words of the child (CHI). Dots of the same child are joined.

per 1,000 words

051015

2;082;092;102;11

Age of the child (years;months)

Matches per 1,000 words, all transcripts of each child together, highest first.

All transcripts as a table

Transcript	Child	Age	Words	Utterances matched	Matches	Per 1,000 words
french/lyon_nat39b.cha	Nathan	2;9.7	470	5	6	12.77

1 different forms (lowercased). Useful to see what a pattern really catches: unexpected forms here usually mean the pattern is too broad.