... 5¢-GCCGGATCCATGACTGTG
GTTGAAATAAAAAG-3¢ and the reverse primer 5¢-CCGG
AGCTCTTACTGTAGAGCATGTTGGAAATA-3¢. Full-
length cDNA of HsGrx3 and MmGrx3 were amplified by
PCR using gene-specific primers. For ... specifically targeting
human Grx3 sequences were purchased from Sigma-
Aldrich. The human Grx3 shRNA1 sequence is 5¢-CCG
GGCTCTTTATGAAAGGAAACAACTCGAGTTGTTTC
CTTTCATAAAGAGCTTTTTG-3¢. The human...
... syntactical
features. We evaluated our approach on large-
scale Japanese-English and English-Japanese
machine translation tasks, and show that it can
significantly outperform the baseline phrase-
based ... tokens for both English and
Japanese. This monolingual corpus is used to train
a 4-gram language model for English and Japanese
respectively.
5.2 Parsers
For English, we train a...
... Precision-Order-Recall MT Evaluation Metric for Tuning
Boxing Chen, Roland Kuhn
and
Samuel Larkin
National Research Council Canada
283 Alexandre-Taché Boulevard, Gatineau (Québec), Canada J8X 3X7 ... third data condition is a French-to-English
(fr-en). The parallel training data is from Canadian
Hansard data, containing 59.3M word tokens. We
used two LMs in loglinear com...
... used as the “gold standard”
7
.
Documents are annotated at the document-level,
rather than at the post level, making this data set
somewhat noisy. Additionally, the data set is par-
ticularly large ... provide a small advantage in this data
set although the actual idf variant isn’t important,
e.g. btc, bt
′
c, and okc all perform similarly. The
utilized tf variant also isn’t important, e....
... branches that are
easiest to align with substrings that have been
annotated with semantic role information?
3. What is the relative precision and recall per-
formance of parse tree paths formulated ... predicate-argument relationship, and
could be encoded in various ways that take ad-
vantage of the additional semantic and lexical
information that is provided.
To compare traditional...
... demonstrates that we achieve a
much greater impact on performance with carefully
designed, automatically extractable context ori-
ented features. In all cases we are able to achieve a
statistically ... Learner, in all cases we evaluate com-
binations of alternative history sizes (0 and 1) and
alternative feature sets (base and base+AllContext).
In our experimentation we have evaluate...
... Hospital
2500 Grant Road
Mountain View, CA 94040
vvandal3@aol.com
Hitoshi Isahara, Kyoko Kanzaki
Communications Research Laboratory
3-5 Hikaridai
Seika-cho, Soraku-gun
Kyoto, Japan 619-0289
{isahara,kanzaki}@crl.go.jp
Beth ... patterns are derived from a single large
linguistically motivated unification grammar; thus
the compile-time architecture is that of a linguisti-
cally motivated s...
... estimators — ME estimation with L
1
or
L
2
regularization, and AP — are in a near sta-
tistical tie for first place.
1 Introduction
Parameter estimation is fundamental to many sta-
tistical approaches ... were trained
discriminatively on an adaptation domain corpus
(Encarta Encyclopedia). Thus, this forms a cross
domain adaptation paradigm. This also implies that
the portion...
... corre-
lations with human assessment are higher than stan-
dard automatic evaluation metrics.
2 MT Evaluation
Recent automatic evaluation metrics typically frame
the evaluation problem as a comparison ... text?) and fluency
(does the translation sound natural in the target lan-
guage?). These human assessment data are an in-
valuable resource for measuring the reliability of au-
tomatic ev...
... edu. au
Abstract
In applications such as translation and
paraphrase, operations are carried out on
grammars at the meta level. This pa-
per shows how a meta-grammar, defining
structure at ... area, for example
using S-TAG for English-Korean machine trans-
lation in a practical system (Palmer
et al,
1998).
In mapping between, say, English and French,
there is a lexicali...