learning hierarchical translation structure

... without ‘gap rules’. Instead of employing hierarchical phrase-pairs, we invest in learning the higher-order hierarchical syn- chronous structure behind translation, up to the full sentence length. ... syntactic parse structure, we opt for linguistically motivated translation. We learn latent hierarchical structure, taking advantage of linguistic annotations but shaped and trained for translation. We ... advancing from structures which mimic lin- guistic syntax, to learning linguistically aware latent recursive structures targeting translation, we achieve significant improvements in translation quality...

Ngày tải lên: 20/02/2014, 04:20

Ngày tải lên: 07/03/2014, 22:20

Ngày tải lên: 17/03/2014, 06:20

Ngày tải lên: 23/03/2014, 23:20

Ngày tải lên: 24/03/2014, 03:20

Ngày tải lên: 30/03/2014, 16:20

Ngày tải lên: 31/03/2014, 04:20

Ngày tải lên: 10/06/2014, 19:53

Ngày tải lên: 05/07/2014, 08:03

Ngày tải lên: 23/03/2014, 14:20

... A b. B c. C d. D 50 TOEFL EXAM ESSENTIALS QUESTION TYPES IN THE STRUCTURE SECTION There are two basic kinds of questions on the structure section of both the computer-based and paper-based exams: ■ Sentence ... is an overview of the differences between the two tests: Computer Test: Paper-and-Pencil: Structure Structure and Written Expression 15–20 minutes 25 minutes 20–25 questions 40 questions Computer ... best well better best many more most much more most bad worse worst little less or lesser least STRUCTURE 71 Present Past Past Participle swear swore sworn tear tore torn wear wore worn blow blew...

Ngày tải lên: 01/11/2013, 15:20

... word of A the rightmost word of A tgt the translation of A p the translation of A h the leftmost word of the translation of A the rightmost word of the translation of A Table 2: Features adopted ... to exploit predicate- argument structures for statistical machine translation: 1) a predicate translation model and 2) an argument reordering model. The predicate translation model explores lexical and ... null translations for verbal predicates. 3.2 Features The apparent advantage of discriminative lexicon translation models over generative translation mod- els (e.g., conventional lexical translation...

Ngày tải lên: 19/02/2014, 19:20

... model on English-Chinese Translation tasks. 1 Introduction The hierarchical phrase-based model (Chiang, 2007) makes an advance of statistical machine translation by employing hierarchical phrases, ... machine translation. In Proc. of ACL, pages 72–80. David Chiang. 2005. A hierarchical phrase-based model for statistical machine translation. In Proc. of ACL, pages 263–270. David Chiang. 2007. Hierarchical ... Sciences liuqun@ict.ac.cn Abstract We present a hierarchical chunk-to-string translation model, which can be seen as a compromise between the hierarchical phrase- based model and the tree-to-string...

Ngày tải lên: 19/02/2014, 19:20

... to Chinese characters learning: System design and development, Proc. of the Int’l Conf. on Edutainment, 559–564. C Y. Lee. 2009. The cognitive and neural basis for learning to reading Chinese, ... E. L. Newport. 1996. Statistical learning by 8-month-old infants, Science, 274(5294), 1926–1928. H. H. Shen. 2005. An investigation of Chinese-character learning strategies among non-native ... extended our games to lead students to learning Chinese words from char- acters, and details will be illustrated during the demo. 2.3 Behind the Scene The data structure of a game is simple. When...

Ngày tải lên: 19/02/2014, 19:20

... machine active learning with applications to text classification. Journal of Machine Learning Re- search (JMLR), 2:45–66. David Vickrey, Oscar Kipersztok, and Daphne Koller. 2010. An active learning ... unseen words is likely to get word-aligned incorrectly and then learning from that translation could be hampered. By asking for a translation of only the trigger words, we expect to be able to circumvent ... gath- ered 20,580 n-gram translations for which we paid $0.01 USD per translation, giving us a total cost of $205.80 USD. We also gathered 1632 randomly chosen Urdu sentence translations as a control...

Ngày tải lên: 20/02/2014, 04:20

... dependency structure to constrain rules, not to maintain the tree structures to guide decoding. Table 2 shows the translation result on FBIS. We can see that the RWF structure constraint can improve translation ... statistical machine translation: pa- rameter estimation. Comput. Linguist., 19(2):263– 311. David Chiang. 2005. A hierarchical phrase-based model for statistical machine translation. In ACL 145 ’05: ... tree. Shen et al. (2008) propose the well-formed de- pendency structure to filter the hierarchical rule ta- ble. A well-formed dependency structure could be either a single-rooted dependency tree...

Ngày tải lên: 20/02/2014, 04:20

... relation- ship. Transformation-based learning was proposed by (Brill, 1995). Below we explain our learn- ing strategy when we directly adapt the learning method to our graph expression of PASs. First, un- structured texts ... statistical learning; however, such work is hard, especially for tasks containing semantic elements. This paper describes predi- cate argument structure analysis using   transformation-based learning. ... our conclusion is provided in Section 4. 2 Predicate argument structure and graph transformation learning First, we illustrate the structure of a Japanese sen- tence in Fig. 1. In Japanese, we...

Ngày tải lên: 20/02/2014, 04:20

Ngày tải lên: 20/02/2014, 07:20

... Ohio, USA, June 2008. c 2008 Association for Computational Linguistics Name Translation in Statistical Machine Translation Learning When to Transliterate Ulf Hermjakob and Kevin Knight University ... Daniel Marcu. 2006. Search-based Structured Prediction. Submitted to the Machine Learning Journal. http://pub.hal3.name/#daume06searn David Day. 2007. Entity Translation 2007 Pilot Evalua- tion ... with respect to a set of known reference translations according to the B LEU translation metric. 4. At run-time, the transliterations then compete with the translations generated by the gen- eral...

Ngày tải lên: 20/02/2014, 09:20

... extract translations (Section 3.3). 3.1 Source and Target Surface patterns With a set of terms and translations, we can learn the co-occurring patterns of a source term E and its translation ... machine translation, a research area started from 1950s. Most work in the large body of research on machine translation (Hutchins and Somers, 1992), involves production of sentence- by-sentence translation ... reasonable to define noun phrase translation without context as an independent MT subtask and build a noun phrase translation subsys- tem that improves statistical machine translation methods. Nagata,...

Ngày tải lên: 20/02/2014, 15:20