... which are relatively easy as
compared to operations required for other quantum
mechanical algorithms [BCDP96].
(ii) Quantum mechanical algorithms based on the
Walsh-Hadamard transform are likely ... possible quantum mechanical
algorithm.
1.2 Quantum Mechanical Algorithms A good
starting point to think of quantum mechanical algo-
rithms is probabilistic algorithms [BV...
... 2005).
For a given source sentence S, a max-
imum entropy (ME) classifier is applied
to a large set of candidate target transla-
tions . A beam -search algorithm is used
to abandon target sentences as ... trained on Europarl and
JRC data. Parallel sentence pairs are extracted
from comparable news data published in 2006.
For this data, no document-level information was
available....
... develop a data structure and
algorithm that can facilitate efficient retrieval of the
top k candidates.
In this paper, we propose a probabilistic approach
to the task. Our approach is novel and unique ... following aspects. It employs (a) a log-linear
(discriminative) model for candidate generation, (b)
an effective algorithm for model learning, and (c) an
efficient algorithm f...
... outputs this as a partial parse. Sagae and
Lavie (2005) have shown that this algorithm has
linear time complexity, assuming that classifica-
tion takes constant time. The next example il-
lustrates the ... for many practical applications.
Deterministic parsing has emerged as an attrac-
tive alternative to probabilistic parsing, offering
accuracy just below the state-of-the-art in syn-
ta...
... area (Ratnaparkhi et al., 1994; Ber-
ger et al., 1996; Pietra et al, 1997; Zhou et al.,
2003; Riezler and Vasserman, 2004)
In the most basic approach, such as Ratna-
parkhi et al. (1994) and ...
Conditional Maximum Entropy (CME) modeling
has received a great amount of attention within
natural language processing community for the
past decade (e.g., Berger et al., 1996; Reynar and
R...
... identification on a scale
useful for IR remains problematic.
Research on Arabic IR tends to treat automatic
indexing and stemming separately. Al-Shalabi
and Evans (1998) and El-Sadany and Hashish
(1989) ... U.K.
deroe@essex.ac.uk
Waleed AL-FARES
Computer Science Department
College of Business Studies,
Hawaly, Kuwait
al-fareswaleed@usa.net
Abstract
We present a clustering algorithm fo...
... displayed
in Figure 1.
accuracy of transitivity labelling was not systemati-
cally evaluated here.
2.2 Patterns and matchings
Informally, patterns are minimal connected tree
fragments containing an ... general, and can serve
as a benchmark against which more complex ap-
proaches can be evaluated.
NP
NP
DT
the
NN
man
SBAR
S
NP
NNP
Sam
VP
VBZ t
likes
Figure 2: A typical parse tree produced...
... ~ x Ay Move from after A to before A any
xAB y ~==e, x ABy Move from after bigram AB to before AB any
Move from after trigram ABC to before ABC
any
Figure 1: Possible transformations. A, B, ... training data.
If we treat the output of an existing segmentation
algorithm 3 as the initial state and the desired seg-
mentation as the goal state, we can perform a series
of transform...
... problem,’ ‘Bayesian network for a database
search setting: suspect and one other individual in the
database, ’ ‘Bayesian network for a search of a database of
size n > 2,’ and ‘Discussion and conclusions’.
Methods
Preliminaries
In ... Taroni
1
Abstract
Background: The database search problem’, that is, the strengthening of a case - in terms of probative value -
agai...
... proposed for natural languages (see
Chen-Main and Joshi (2007) for an overview), it
seems that there are no important natural language
phenomena that can be described by LCFRS and
not by TT-MCTAG. Any ... generate only polynomial lan-
guages but their generative capacity is too limited
to deal with all natural language phenomena. This
has been argued for tree-local and even set-local
MC...