... agreement.
2.1 Form and Function
Arabic nominals (i.e. nouns, proper nouns and
adjectives) and verbs in ect for gender: mascu-
line (M) and feminine (F ), and for number: sin-
gular (S), dual (D) and plural ... Computational Linguistics
A Corpus for Modeling Morpho-Syntactic Agreement in Arabic:
Gender, Number and Rationality
Sarah Alkuhlani and Nizar...
... is adjacent to
Y). An article contains both known and unknown
(new) information. Known information consists of
words shared by the beginning and ending points of
an arc. When node X is adjacent ... representation and
a current prototype are described in this paper.
1 Introduction
The vast quantity of information available today
makes it difficult to search for and understa...
... THE PA-
TIENT’S HANDLING OF EATING, the topic expres-
sion had to be one of the two instances of jeg ‘I’.
Since the topic arguably concerns ‘handling’ more
than ‘eating’, the NP in the matrix clause ... and F
1
-scores for
the three different data sets. For comparison, we added success
rate and F
1
analogs for human performance.
4.2 Interpersonal subordination
We found that syntac...
... have included a full list of N-glycopro-
teins from C. elegans and a partial list from mouse liver
containing the protein (gene) ID, protein name, glycosy-
lated sites, and kinds of lectins used ... glycan-discriminating proteins. In general,
however, the glycan–lectin interaction is relatively
weak in comparison with, for example, antigen–anti-
body interactions. Thus, once bound t...
...
contains all of the information that is in the
input sentence. The part of the information
that is implicit in the sentence (tense, voice,
and so forth) is made explicit in S
1
. Since a ...
method for solving multiple-meaning and word-
order problems. This routine analyzed and
translated the input sentences in terms of suc-
cessively included clauses, phrases, and so...
... cut-off feature threshold n, and the number of iter-
ations. The final weight is typically normalized by the
number of training iterations and the number of train-
ing instances. These parameters ... feature sets including source side information,
alignment context, and dependency structures. Experi-
mental results show that by combining the source side
information, alignment conte...
... fetal bovine serum
(Gibco-Life Technology) and Penicillin-Streptomycin-Glu-
tamine 1X (Gibco-Life Technology). Cell lines were main-
tained at 37 °C in a humidified incubator containing 10%
CO
2
mixedwithair.
Cytotoxicity ... MSSAE in binding buffer
(DMEM containing 1 mgÆmL
)1
BSA and 25 m
M
Hepes at
pH 7.5). At increasing time intervals, cells were washed
repeatedly with NaCl/P
i
andt...
... string (Error-String) that comprises an
error-block and each M (5 in the experiment) character
before and after the error-block out of the input string, and
using this string (Error-String) ...
K (2 in the experiment) characters before and after an
error-block in the Error-String, am found in the Similar-
String, take out the string (denoted C) between A and B in
1...
...
fined category of objects. Examples are
being in a country (e.g., &apos ;in England'
and &apos ;in France') and being in a piece
of clothing (e.g., &apos ;in a hat', &apos ;in ... conceptualized as a volume in En-
glish and as a surface in French; for pairs of
sentences (5), where the shade is conceptual-
ized as a Volume in English and as a point...
...
constructing a probabilistic dictionary (Table 3)
for use in aligning words in machine translation
(Brown et al., 1990), or for constructing a
bilingual concordance (Table 4) for use in
lexicography ... contracting xl and x2 to yl,
5. two_sidedistance(xl,
Yl ; 0, Y2) be the
cost of expanding xl to Y 1 and yg, and
6. two sidedistance(xl, Yl ; x2, yg.) be the
cost of...