... Association for Computational Linguistics:shortpapers, pages 176–181,
Portland, Oregon, June 19-24, 2011.
c
2011 Association for Computational Linguistics
Better Hypothesis Testing for Statistical Machine ... experimen-
tal outcomes, and make recommendations for
reporting results more accurately.
1 Introduction
The need for statistical hypothesis testing for ma-
chi...
... Association for Computational Linguistics:shortpapers, pages 182–187,
Portland, Oregon, June 19-24, 2011.
c
2011 Association for Computational Linguistics
Bayesian Word Alignment for Statistical Machine ... Initialize A
2 for k = 1 to K do
3 for each sentence-pair s in (E, F) do
4 for j = 1 to J do
5 for i = 0 to I do
6 Calculate P (a
j
= i| · · · )
according to (7)
7 Sampl...
... n-gram language mod-
els in statistical machine translation: a back-
ward language model that augments the con-
ventional forward language model, and a mu-
tual information trigger model which ... model
(F+M) selects the former while the baseline selects
the latter. The forward language model score for the
baseline hypothesis is -26.41, which is higher than
the score of the F+M hyp...
... show
for the first time that integrating a WSD sys-
tem improves the performance of a state-of-
the-art statistical MT system on an actual
translation task. Furthermore, the improve-
ment is statistically ... evi-
dence on whether word sense disambigua-
tion (WSD) systems can help to improve the
performance of statistical machine transla-
tion (MT) systems. In this paper, we suc-
cessf...
... little interest for the structure-based
alignment model if we have to manually find
1360
the language structures and write a grammar
for them, since the primary merit of statistical
machine translation ... (400,000 words altogether for
both languages) were used for training. The
same data were used to train Simplified Model
2 (Wang and Waibel, 1997) and IBM Model
3 for pe...
... Person_Out, Position, Organisation>
In the following tables, we use PI for Person_In,
PO for Person_Out, POS for Position and ORG for
Organisation. In our experiments, we attempt to
investigate ... extraction of Nobel Prize awards
and management succession events. Perfor-
mance for the new Nobel Prize task is
strong. For the management succession
task the results compare...
... {(x
1
, y
1
), (x
2
, y
2
) (x
p
, y
p
)}.
The performance of the system for these initial
points provides evidence for predicting its perfor-
mance for larger sample sizes.
In order to do so, a ... features, among others, for predicting transla-
tion accuracy (Section 4).
In a Machine Learning context, Perlich et al.
(2003) used learning curves for predicting maximum
performance...
... system merely performs
phrase-based machine translation and is not specif-
ically geared towards simplification were it not for
the dissimilarity-based re-ranking of the output, it
performs not significantly ... Association for Computational Linguistics.
Kenji Yamada and Kevin Knight. 2001. A syntax-
based statistical translation model. In Proceedings of
the 39th Annual Meeting on Assoc...
... subcomponent for generating word inflec-
tions into a statistical machine translation (SMT)
system. Our research is built on previous work in
the area of using morpho-syntactic information for
improving ... the translation models.
6 MT performance results
Before delving into the results for each method, we
discuss our evaluation measures. For automatically
measuring performance, we...
... 2007.
c
2007 Association for Computational Linguistics
Tailoring Word Alignments to Syntactic Machine Translation
John DeNero
Computer Science Division
University of California, Berkeley
denero@berkeley.edu
Dan ... with
separate parameters for j = 1, j = J and shared
parameters for all 1 < j < J. Null alignments have
fixed probability at any position. Inference over a
requires o...