... the
tree.
woodwind
[
"wUd wInd
] n. a group
of musical instruments, many of
which are made of wood or used
to be made of wood, and many of
which are played by blowing air
across a reed.
woodwork ... loudly.
yellow
[
"jEl o
]
1.
n. the color of a
ripe lemon or of the yolk of an
egg. (Plural only for types and
instances.)
2.
the adj. use of Q.
(Comp: yellower; sup: yellowest.)
3.
adj. ...
take the words (right) out of
one’s
mouth
→
true to
one’s
word
→
twist
someone’s
words (around)
the
word 1.
n. an order; a com-
mand. (No plural. Treated as sin-
gular.)
2.
n. news; information.
(No...
...
selection of all verbs from a dictionary.
(2)
Extraction
of a substructure, eg extracting a
bilingual dictionary from a trilingual.
(3)
Inversion,
eg of an English-French
dictionary ... to the sum of the
number of elementary information types and the
number of set components in its entry structure.
For example, an English-French dictionary
whose entries consist of an English ... multiple-
value function model of CLOS). Finally, the
values of the output variables of the left-hand
side nonterminal (aol, ao2 ) are collected and
returned as the result of its expanding.
With...
... to English. We cre-
ate a rule set of morphological inflection maps that
we then use to relate analyses of OOV words to anal-
yses of INV words (which we create off-line for
speedy use). The most ... techniques for online han-
dling of Out -of- Vocabulary words in Phrase-
based Statistical Machine Translation. The
techniques use spelling expansion, morpho-
logical expansion, dictionary term ... Cross
Linguistic Name Matching in English and Arabic. In
Proc. of HLT-NAACL.
N. Habash. 2008. Online Handling of Out -of- Vocabulary
Words for Statistical Machine Translation. CCLS
Technical Report.
N....
... follows:
4
IDF(w) = log
Total # of Japanese web pages
# of hits of w
(2)
Fundamental words are assigned with their do-
mains and IDFs by the domain dictionary, while
those for unknown words are dynamically ... domain estimation of unknown words. In the
Blog categorization, the method achieved the accu-
racy of 94%, and the domain estimation of unknown
words achieved the accuracy of 77%.
References
Steven ... collect
training data using a large amount of unlabeled data
and a small amount of seed information. However,
the novelty of this study is the on-the-fly estimation
of unknown words domains. This feature is...