... morphological tagger for Arabic.
2 General Approach
Arabic words are often ambiguous in their morpho-
logical analysis. This is due to Arabic s rich system
of affixation and clitics and the omission of ... on Arabic tagging
that uses a corpus for training and evaluation (that
we are aware of) , (Diab et al., 2004), does not use
a morphological analyzer. In this paper, we show
that the use ofa morphological ... Meeting of the
Association for Computational Linguistics (ACL’03),
Sapporo, Japan.
Young-Suk Lee, Kishore Papineni, Salim Roukos, Os-
sama Emam, and Hany Hassan. 2003. Language
model based Arabic...
... probability
over a range of possible parameters, and per-
mits the use of priors favoring the sparse
distributions that are typical of natural lan-
guage. Our model has the structure of a
standard ... no gold standard available. Luckily, the Bayesian
approach allows us to automatically select values
for the hyperparameters by treating them as addi-
tional variables in the model. We augment the ... optimal set of
parameter values, we seek to directly maximize the
probability of the hidden variables given the ob-
served data, integrating over all possible parame-
ter values. Using part- of- speech...
... 43–46.
Sharon Goldwater and Thomas T. Griffiths. 2007. A
fully Bayesian Approach to Unsupervised Part- of-
Speech Tagging. In Proceedings of the 45th Annual
Meeting of the Association of Computational ... 265–292.
Dipanjan Das and Slav Petrov. 2011. Unsupervised Part-
of- Speech Tagging with Bilingual Graph-Based Pro-
jections. In Proceedings of the 49th Annual Meeting
of the Association of Computational ... Com-
putational Natural Language Learning. pp. 296–305.
Taku Kudo, Kaoru Yamamoto, and Yuji Matsumoto.
2004. Applying Conditional Random Fields to
Japanese Morphological Analysis. In Proceedings of
the...
... at the same time, we expand boundary
tags to include POS information by attaching a POS
to the tail ofa boundary tag as a postfix following
Ng and Low (2004). As each tag is now composed
of a ... segmentation
and POS tagging (Joint S&T). Since the typical ap-
proach of discriminative models treats segmentation
as a labelling problem by assigning each character
a boundary tag (Xue and ... i a N-best list
of candidate results from all these candidates. When
we derive a candidate result from a word-POS pair
p and a candidate q at prior position of p, we cal-
culate the scores of...
... (1992). Class-
based n-gram models of natural language. Computa-
tional Linguistics 18(4), 467-479.
Clark, Alexander (2003). Combining distributional and
morphological information for partofspeech ... are much more salient.
Also, widely and rural are well within the adjective
cluster. The comparison of the two dendrograms
indicates that the SVD was capable of making ap-
propriate generalizations. ...
data sparseness can be minimized by reducing the
dimensionality of the matrix. An appropriate alge-
braic method that has the capability to reduce the
dimensionality ofa rectangular matrix...
... The speaker announced the ofa new college. ESTABLISH
147. We want to students to participate fully in the running of the college. COURAGE
148. Details of the are available at all participating ... mixture of the two.
FRUSTRATE
139. Researchers in this field have made some important new DISCOVER
140. is partof the American character. GENEROUS
141. , his wife was killed in a car accident. TRAGIC
142. ... musically and it is very effective. LYRICS
133. She promised not to say a word to anyone about it. SOLEMN
134. What unusual of flavours! COMBINE
135. His was a combination of surgery, radiation and...
... Ogren, Wayne
Ward, James H. Martin, Guergana Savova, and Martha
Palmer. 2010. An architecture for complex clinical
question answering. In Proceedings of the 1st ACM
International Health Informatics ... of the Associa-
tion for Computational Linguistics: Human Language
Technologies, ACL’11, pages 48–52.
Drahom
´
ıra ”johanka” Spoustov
´
a, Jan Haji
ˇ
c, Jan Raab,
and Miroslav Spousta. 2009. Semi-supervised ... in at
least 3 documents of the training data are used. For
a domain-specific model, we use a threshold of 1.
The generalized and domain-specific models are
trained separately; their learning parameters...
... report
tagging results nearing 90% accuracy. The
data and tools have been made available to the
research community with the goal of enabling
richer text analysis of Twitter and related so-
cial media ... Annotation, Features, and Experiments
Kevin Gimpel, Nathan Schneider, Brendan O’Connor, Dipanjan Das, Daniel Mills,
Jacob Eisenstein, Michael Heilman, Dani Yogatama, Jeffrey Flanigan, and Noah ... (indicates
topic/category for tweet)
#acl 1.0
@ at-mention (indicates
another user as a recipient
of a tweet)
@BarackObama 4.9
~ discourse marker,
indications of continuation
of a message across
multiple...
... particular partofspeech often have the
same left and right neighbors, i.e. a pair of such
neighbors can be considered to be characteristic of
a partof speech. For example, a noun may be sur-
rounded ... Unannotated Text
Reinhard Rapp
Universitat Rovira i Virgili
Pl. Imperial Tarraco, 1
E-43005 Tarragona, Spain
reinhard.rapp@urv.cat
Abstract
A distributional method for part- of- speech ... purpose of this study is to automatically in-
duce a system of word classes that is in agreement
with human intuition, and then to assign all possi-
ble parts ofspeech to a given ambiguous or unam-
biguous...
... Ex-
10
Conversely, one can also search for all occurrences of a
particular word that is a member ofa closed class and check
that only the closed class tag is assigned. Some of these
words are actually ambiguous, ... our variation n-gram ap-
proach is well suited for the gold-standard anno-
tations generally resulting from a combination of
automatic annotation and manual post-editing. A
case in point is that ... ambiguous between being
an auxiliary, a main verb, or a noun and thus there is variation
in the way
can
would be tagged in
I can play the piano, I can
tuna for a living,
and
Pass me a can...