Báo cáo khoa học: "Active Learning for Multilingual Statistical Machine Translation∗" ppt
Báo cáo khoa học: "Active Learning for Multilingual Statistical Machine Translation∗" ppt
... pages 181–189,
Suntec, Singapore, 2-7 August 2009.
c
2009 ACL and AFNLP
Active Learning for Multilingual Statistical Machine Translation
∗
Gholamreza Haffari and Anoop Sarkar
School of Computing ... selection methods that improve AL
for phrase-based SMT in the multilingual
and single language pair setting.
1 Introduction
The main source of training data for statistical
mac...
Báo cáo khoa học: "Efficient Search for Interactive Statistical Machine Translation" doc
... Efficient Search for Interactive Statistical Machine Translation
Franz Josef Och
l
and
Richard Zens and
Hermann Ney
Chair of ... post-editing
'The author is now affiliated with the Information Science
Institute, University of Southern California, och@isi.edu
.
of the machine translation output is necessary. In
such an environment, ... Pr(ff}ef )}
(3)
For simplicity, we form...
Báo cáo khoa học: "Active Learning for Statistical Natural Language Parsing" potx
... clustering
results in a better learning curve.
4.4 Summary Result
Figure 8 shows the best active learning result compared
with that of random selection. The learning curve for ac-
tive learning is obtained ... to
achieve a satisfactory performance using active learning.
Active learning has been studied in the context of many
natural language processing (NLP) applications such as...
Báo cáo khoa học: "Active learning for interactive machine translation" pot
... active learning tech-
niques for interactive machine translation.
Results show that for a given translation
quality the use of active learning allows us
to greatly reduce the human effort required
to ... the Association for Computational Linguistics, pages 245–254,
Avignon, France, April 23 - 27 2012.
c
2012 Association for Computational Linguistics
Active learning for inte...
Tài liệu Báo cáo khoa học: "Guided Learning for Bidirectional Sequence Classification" ppt
... our learning algorithm is the strategy
used to select samples for training.
In general, this novel learning framework lies be-
tween supervised learning and reinforcement learn-
ing. Guided learning ... classification are dynamically incorporated in the
learning phase.
Guided learning is not as hard as reinforcement
learning. At each local step in learning, we always
know the u...
Báo cáo khoa học: "Spectral Learning for Non-Deterministic Dependency Parsing" ppt
... paper we study spectral learning
methods for non-deterministic split head-
automata grammars, a powerful hidden-
state formalism for dependency parsing.
We present a learning algorithm that, ... parsing and learning
algorithms for grammatical bigram models. Techni-
cal Report UCB/CSD-01-1148, University of Cali-
fornia, Berkeley.
Slav Petrov and Dan Klein. 2007. Improved infer-
en...
Báo cáo khoa học: "Pseudo-word for Phrase-based Machine Translation" pot
... the Association for Computational Linguistics, pages 148–156,
Uppsala, Sweden, 11-16 July 2010.
c
2010 Association for Computational Linguistics
Pseudo-word for Phrase-based Machine Translation ... is performed in a way similar to
CKY (Cocke-Kasami-Younger) parser.
Initialization: W
i, i
= Sig
i, i
;
W
i, j
= 0, (i≠j);
1: for d = 2 … n do
2: for all i, j s.t. j-i=d-1 do...
Báo cáo khoa học: "Enhancing Language Models in Statistical Machine Translation with Backward N-grams and Mutual Information Triggers" ppt
... Association for Com-
putational Linguistics.
Dekai Wu. 1996. A polynomial-time algorithm for sta-
tistical machine translation. In Proceedings of the 34th
Annual Meeting of the Association for Computational
Linguistics, ... Association for Computational Linguistics, pages 1288–1297,
Portland, Oregon, June 19-24, 2011.
c
2011 Association for Computational Linguistics
Enhancing Lan...
Báo cáo khoa học: "Word Sense Disambiguation Improves Statistical Machine Translation" docx
... 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 ... ex-
perimental results, before concluding in Section 8.
2 Word Sense Disambiguation
Prior research has shown that using Support Vector
Machines (SVM) as the learning algorithm for...
Báo cáo khoa học: "Modeling with Structures in Statistical Machine Translation" pot
... 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...