Báo cáo khoa học: "Transductive learning for statistical machine translation" potx
... 25–32, Prague, Czech Republic, June 2007. c 2007 Association for Computational Linguistics Transductive learning for statistical machine translation Nicola Ueffing National Research Council Canada Gatineau, ... log-linear model, we have an alternative to the full re-training 26 Algorithm 1 Transductive learning algorithm for statistical machine translation 1: Input: training...
Ngày tải lên: 08/03/2014, 02:21
... Association for Computational Linguistics:shortpapers, pages 294–298, Portland, Oregon, June 19-24, 2011. c 2011 Association for Computational Linguistics Corpus Expansion for Statistical Machine ... SSRs. Notice that for each new sentence generated, we al- low for application of only one substitution. Although the idea is straightforward, we face two problems in practice. Firs...
Ngày tải lên: 20/02/2014, 04:20
... smorgasbord of features for statistical machine translation. In Proceedings of HLT- NAACL 2004. Och, F. J., Tillmann, C., and Ney, H. (1999). Improved align- ment models for statistical machine translation. ... (2002). A phrase-based, joint proba- bility model for statistical machine translation. In Proceed- ings of EMNLP 2002. Melamed, I. D. (2004). Statistical machine...
Ngày tải lên: 20/02/2014, 15:20
Báo cáo khoa học: "Distortion Models For Statistical Machine Translation" doc
... the ACL, pages 529–536, Sydney, July 2006. c 2006 Association for Computational Linguistics Distortion Models For Statistical Machine Translation Yaser Al-Onaizan and Kishore Papineni IBM T.J. ... for the experiments reported here is the same as the one used for other experiments reported in this paper. The results in Table 3 illustrate how the language model performs reasonably...
Ngày tải lên: 08/03/2014, 02:21
Tài liệu Báo cáo khoa học: "A Method for Measuring Machine Translation Confidence" docx
... the Association for Computational Linguistics, pages 211–219, Portland, Oregon, June 19-24, 2011. c 2011 Association for Computational Linguistics Goodness: A Method for Measuring Machine Translation ... onaizan}@us.ibm.com Abstract State-of-the-art statistical machine translation (MT) systems have made significant progress towards producing user-acceptable translation output. How...
Ngày tải lên: 20/02/2014, 04:20
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...
Ngày tải lên: 20/02/2014, 12:20
Báo cáo khoa học: "Accurate Learning for Chinese Function Tags from Minimal Features" pdf
... applying it to our specific task. 3.1 Learning Model The framework from which HM-SVM are derived is a maximum margin formulation for joint fea- ture functions in kernel learning setting. Given n labeled ... satisfactory for practical use. The limitation is even more pertinent for the lan- guages that do not have sophisticated parsing re- sources, or languages that have inherent lingu...
Ngày tải lên: 08/03/2014, 01:20
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...
Ngày tải lên: 08/03/2014, 21:20
Báo cáo khoa học: "Fertility Models for Statistical Natural Language Understanding" pdf
... in- crease in performance of about 2-3% for most mod- els. For General-LM, results increased by 8-10%. The Poisson and general fertility models show a 2- 5% gain in performance over the basic ... English. For the ATIS task, our formal language is a mi- nor variant of the NL-Parse (Hemphill, Godfrey, and Doddington, 1990) used by ARPA to annotate the ATIS corpus. An example of a f...
Ngày tải lên: 08/03/2014, 21:20
Báo cáo khoa học: "Combining Coherence Models and Machine Translation Evaluation Metrics for Summarization Evaluation" doc
... bolded when it outperforms all AESOP met- rics. similar to how precision and recall are combined in F measure. We applied a machine learning ap- proach to train a regression model for measuring responsiveness. ... are also evaluated for their ability to assess sum- mary readability, i.e., to measure how linguistically readable a machine generated summary is. Sub- mitted metrics that...
Ngày tải lên: 07/03/2014, 18:20