Slides

Accuracy =
hits +
hits
false
alarms
For each cluster of intervening words identified by a frame, the category label that
occurred most frequently, in terms of both type and token, was taken as the prominent
category of the frame. This measure indicates the degree to which a salient category
was identified by a frequent frame.
number of words belonging to pro min ent category
Prominence=
number of all words
Table 8. Examples of frequent frames in the adult input to AJR (w_w)
Frequent
frames
zenme_de
“how_particle”
Intervening words (number of tokens)
shuo “talk”(76), jiao “call”(17), gao “manage to get”(6),
jiang “speak”(6), da “beat” (5), xi “wash”(4), chang “sing”
(3), tiaowu “dance” (2), an “press”(1), cai “guess”(1), fang
“put up”(1), jiao “teach” (1), na “tale”(1), sukou “rinse
one’s mouth” (1), shuijiaojiao “sleep”(1), xiang “ring”(1),
xie “write”(1), zhidao “know”(1).
Prominent
category of
intervening words
verb
bu_le
“not_particle”
yao “want to have”(8),wan “play(5), qu “go” (3), tiaowu
“dance”(3), xi “wash”(3), tiao “jump”(3), hua “draw”(2),
jide “remember”(2), jiang “speak”(2), jiao “call”(2), kai
“open”(2), yun “dizzy”(2), ying “win”(2), ren
“recognize”(1), shua “wash”(1), ting “listen”(1), tou
“cast”(1), xihan “like”(1), zhong “hit target”(1), zhuan
“turn” (1), zuo “sit”(1), guang “take charge of “(1), hao
“good” (1), he “drink”(1), kan “look”(1), lai “come”(1).
verb
Table 9. Accuracy and prominence score of frequent frames in the adult input (types)
Subject
AJR
Prominent
category
yielded by
frequent
frames
Mean accuracy
score of frequent
frames (w_w)
yielding verb and
adjective
Verb 0.74 0.91
Adjective 0.77 0.88
Mean prominence
score of frequent
frames yielding
verb and adjective
LSY
Verb 0.83 0.86
Adjective 0.82 0.89
83-84% of the frequent frames produced by the two children at two years of age
overlapped with the frequent frames of the adult input covering the period prior to two
years of age.
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