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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Speakers

Context

Ignore case Whole words

Scope One transcript: french/lyon_ana14b.cha change

Searching only french/lyon_ana14b.cha. Search all transcripts instead

5 matches in 5 utterances

2.60 per 1,000 words of everyone but CHI, in 1 of 1 transcripts (582 utterances, 1,925 words searched).

Concordance Utterances Distribution Matched forms

vas_y ! 0_2487 MOT · french/lyon_ana14b.cha, line 15 · Anais 1;07
allez vas_y ! 172393_176457 MOT · french/lyon_ana14b.cha, line 168 · Anais 1;07
vas_y mou(che) [//] mouche le cochon ! 198283_203008 MOT · french/lyon_ana14b.cha, line 205 · Anais 1;07
non vas_y ferme ! MOT · french/lyon_ana14b.cha, line 284 · Anais 1;07
vas_y ! 1594073_1596620 MOT · french/lyon_ana14b.cha, line 1999 · Anais 1;07

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

per 1,000 words

0123

1;061;071;081;09

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_ana14b.cha	Anais	1;7.5	1,925	5	5	2.60

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