Tài liệu Báo cáo khoa học: "Robust Machine Translation Evaluation with Entailment Features∗" pptx
Tài liệu Báo cáo khoa học: "Robust Machine Translation Evaluation with Entailment Features∗" pptx
... Evaluating machine translation with
LFG dependencies. Machine Translation, 21(2):95–
119.
Sebastian Pad
´
o, Michel Galley, Dan Jurafsky, and
Christopher D. Manning. 2009. Textual entailment
features ... for
statistical machine translation. In Proceedings of the
MT Summit X, Phuket, Thailand.
Chin-Yew Lin and Franz Josef Och. 2004. ORANGE:
a method for evaluating automatic eval...
Tài liệu Báo cáo khoa học: "Statistical Machine Translation by Parsing" pptx
... contain no informa-
tion about translational equivalence.
4
The inside-probability semiring would be required for
maximum-likelihood synchronization.
Statistical Machine Translation by Parsing
I. ... kind of information without consideration of
the other increases the potential for compounded er-
rors.
6 Multitree-based Statistical MT
Multitree-based statistical machine translation
(M...
Tài liệu Báo cáo khoa học: "Collaborative Machine Translation Service for Scientific texts" pdf
... for a specific conference or to extract
additional fields.
4 Translation of Scientific Texts
The translation system used is a Hybrid Machine
Translation (HMT) system from French to En-
glish and from ... English–French one as it is an easier
translation direction.
13
efficient translation for scientific texts. This tool
consists of a high-accuracy PDF extractor, a hy-
brid machine t...
Tài liệu Báo cáo khoa học: "Learning Hierarchical Translation Structure with Linguistic Annotations" ppt
... over phrase-
pair spans, with each cell filled with multiple lin-
guistically motivated labels, is coupled with the HR-
SCFG design to arrive at a rich synchronous gram-
mar with millions of structural ... 2006.
Statistical syntax-directed translation with extended
domain of locality. In Proceedings of the 7th Biennial
Conference of the Association for Machine Translation
in th...
Tài liệu Báo cáo khoa học: "Syntactic and Semantic Transfer with F-Structures*" pptx
...
terface f-structure representations directly with
the named semantic-based transfer approach.
Third, we compare the two approaches with
each other, and with co-description and restric-
tion operator ... respectively.
1 Introduction
Target and source levels of representation in
transfer-based machine translation (MT) are
subject to often competing demands: on the one
hand,...
Tài liệu Báo cáo khoa học: "Mixing Multiple Translation Models in Statistical Machine Translation" docx
... 2009. Do-
main adaptation for statistical machine translation with
monolingual resources. In Proceedings of the Fourth
Workshop on Statistical Machine Translation, StatMT
’09, pages 182–189, Stroudsburg, ... Juan. 2007. Domain adap-
tation in statistical machine translation with mixture
modelling. In Proceedings of the Second Workshop
on Statistical Machine Translation, Stat...
Tài liệu Báo cáo khoa học: "Robust Conversion of CCG Derivations to Phrase Structure Trees" pdf
... derivations.
unannotated categories, we use the instructions of
the result category with an added instruction.
Table 4 compares our approach with C&C-CONV
on gold CCG derivations. The results shown are as
reported ... argument to form its result, e.g.
S [dcl]\NP combines with the NP to its left to form
an S[dcl]. More powerful combinators allow cate-
gories to combine with greater...
Tài liệu Báo cáo khoa học: "Robust Extraction of Named Entity Including Unfamiliar Word" doc
... hand-crafted
rules, without 5-fold cross validation.
As shown in Table 2, machine learning ap-
proaches with SF outperform ones without SF .
Please note that the result of SVM without SF and
the ... IREX
corpus, which are measured with F-measure through
5-fold cross validation. The columns of “Proposed”
show the results with SF , and the ones of “Base-
line” show the results without S...
Tài liệu Báo cáo khoa học: "Robust Temporal Processing of News" pptx
... indefinites,
e.g., “a Tuesday”, are tagged without a
value. Finally, expressions which are
ambiguous without a strongly preferred
reading are left without a value.
This representation treats ... determine major
errors, and then handling those errors by
augmenting the rule set with additional rules
discovered by machine learning. As noted
earlier, distinguishing between specific use
of a t...
