consistent translation using discriminative learning

... guarantee the usefulness of a particular translation. We address this problem using discriminative learning. 3 Constrained Translation with Discriminative Learning 3.1 Formulation of the Problem Given ... constraints are imposed using discriminative learning to optimise the translation performance. We ob- serve that using this method can benefit the SMT system by not only producing consis- tent translations, ... June 19-24, 2011. c 2011 Association for Computational Linguistics Consistent Translation using Discriminative Learning: A Translation Memory-inspired Approach ∗ Yanjun Ma † Yifan He ‡ Andy Way ‡ Josef...

Ngày tải lên: 07/03/2014, 22:20

... steps. 4. After using computers, students can again analyze and share what they have learned and done, as well as what they need to do next. Lesson Plan - Using the Internet for Pre-Writing Using Cooperative ... what some of these questions are. Groupwork (Research on the computer) Using these questions, students surf the WWW using the teacher-reviewed WWW URLs to search for relevant information and ... size is normally about 40 students. The normal period lasts 35 minutes. Cooperative Learning Cooperative learning can be defined as a variety of concepts and techniques for enhancing the value...

Ngày tải lên: 06/09/2013, 05:10

... results of combined speech recognition and translation models are presented. For each translation model, the N-best lists are rescored based on the translation probability p(e I 1 |f J 1 ) of ... the ASR systems. 3.1 Machine Translation System We make use of the RWTH phrase-based statis- tical machine translation system for the English to German automatic translation. The system in- cludes ... simi- larity to speech translation (translation from target spoken language to source language text). Then, we can describe a speech-enabled CAT system as similar to a speech translation system,...

Ngày tải lên: 20/02/2014, 12:20

... to unsupervised learning to overcome the lack of training data. However their model also has the same problem. McDonald (McDonald, 2006) independently proposed a new machine learning approach. ... highest accuracy. 4.5 Corpus Size and Output Accuracy In general, using more training data improves the accuracy of outputs and using less data results in low accuracy. Our experiment has the problem that ... more appropriately than using simple frequency. Suppose that we trim a node in the original full parse tree. For example, suppose we have a mother node A and daughter nodes (B C D) that are de- rived using a...

Ngày tải lên: 20/02/2014, 12:20

... as a parallel ET pair and using the IBM Model 1 (Brown et al., 1993) word to word translation probability as the ET translation probability. y Smoothing the ET translation probabilities. ... Machine translation divergences: A formal description and proposed solution. Compu- tational Linguistics, 20(4): 597-633. Jason Eisner. 2003. Learning non-isomorphic tree map- pings for machine translation. ... Yarowsky. 1999. Statistical machine translation. Technical report, CLSP, Johns Hopkins University. H. Alshawi, S. Bangalore, S. Douglas. 2000. Learning dependency translation models as collections...

Ngày tải lên: 20/02/2014, 15:20

... sub- optimal. Table 8: Preliminary translation results for the Verbmobil Test-147 for different contextual infor- mation and different thresholds using the top-10 translations. The baseline translation results ... entropy approach is outlined in Section 3. 2 Statistical Machine Translation The goal of the translation process in statisti- cal machine translation can be formulated as fol- lows: A source language ... than the best hypothesis provided by the translation system. 7 Conclusions We have developed refined lexicon models for statistical machine translation by using maximum entropy models. We have been...

Ngày tải lên: 20/02/2014, 18:20

... 200. Table 6: Result of Translation for Test-NYT Method success/ambiguous (rate) baseline 74/125 (72.6%) proposed 101/125 (80.8%) 4.4.2 translation experiment The translation experiment from ... source translations bank ~ ginko (bank:money), teibo(bank:river) interest + rishi (interest:money), kyoumi(interest :feeling) Combining these translation alternatives yields four translation ... of experiments: re- translation experiments and translation experi- ments. Each experiment includes comparison against the baseline algorithm, which is a unigram- based translation algorithm....

Ngày tải lên: 20/02/2014, 18:20

... pages 27–35, Suntec, Singapore, 4 August 2009. c 2009 ACL and AFNLP Paraphrase Recognition Using Machine Learning to Combine Similarity Measures Prodromos Malakasiotis Department of Informatics Athens ... articles in Mandarin Chinese; for each article 11 English translations (by different translators) are also provided. We considered the translations of the same Chinese sentence as paraphrases. ... equal number of randomly selected non paraphrase pairs, which contained sentences that were not translations of the same sentence. In this way, we constructed a dataset containing 82,260 pairs...

Ngày tải lên: 08/03/2014, 01:20

... the machine -learning algorithms. We did not use any additional automated feature-selection procedure. We made use of the following implementations: TiMBL (Daelemans et al., 2004) for Memory- Based Learning, ... http://ilk.uvt. nl/downloads/pub/papers/ilk0402.pdf. V. Jijkoun and M. de Rijke. 2004. Enriching the output of a parser using memory-based learning. In Pro- ceedings of the 42nd Annual Meeting of the Associa- tion for Computational ... LFG, Bergen, Norway. V. N. Vapnik. 1998. Statistical Learning Theory. Wiley-Interscience, September. 143 Figure 3: Processing architecture for the machine- learning- based method. duce the number of category...

Ngày tải lên: 08/03/2014, 02:21

... population. Using Online Learning for At-Risk Students and Credit Recovery Written by John Watson and Butch Gemin Evergreen Consulting Associates June 2008 PROMISING PRACTICES IN ONLINE LEARNING ® ... Practices series is supported by: Using Online Learning for At-Risk Students and Credit Recovery 10 Jackson School District, Alternative School, Jackson, Michigan Using online content to increase ... expose students to new models of learning that open their minds to the options e -learning can offer in high school and beyond. When students have struggled, and online learning opens up new pathways...

Ngày tải lên: 15/03/2014, 04:20

... terms of learning method, Chen and Palmer (2004) also used EM learning to cluster Chinese verb senses. Word Sense Translation Previous word sense translation methods are based on using context ... optimal and the translation results are more accurate. 5 Towards Translation Disambiguation using Frame Semantics As translation disambiguation forms the core of various machine translation strategies, ... that frame semantics are useful for translation disambiguation. Translation disambiguation accuracy using frame semantics is 75%, compared to 15% by using dictionary glossing only. These...

Ngày tải lên: 17/03/2014, 04:20

... with a translation counterpart should be ranked first. • Citations with a frequent translation coun- terpart appear before ones with less frequent translation • Citations with same translation ... “ex- isting translations contain more solutions to more translation problems than any other existing re- source.” It is particularly useful and convenient when the resource of existing translations ... concordance designed as a computer assisted translation and language learning tool. Currently, TotalRecall uses Sinorama Magazine corpus as the translation memory and will be continuously...

Ngày tải lên: 17/03/2014, 06:20

... Evaluation Methods for Machine Translation using Patent Translation Data in NTCIR-7. In Proc. of the 3rd Workshop on Patent Translation, 9–16. Terumasa Ehara. 2007. Rule Based Machine Translation Combined ... Applications to Machine Translation Evaluation. In Proc. of MT Summit IX, 240– 247. Chin-Yew Lin and Franz Josef Och. 2004. Auto- matic Evaluation of Machine Translation Qual- ity Using Longest Common ... automatic evaluation method for machine translation using noun-phrase chunking. Our method correctly deter- mines the matching words between two sentences using corresponding noun phrases. Moreover,...

Ngày tải lên: 23/03/2014, 16:20

... Introduction Translation hypotheses generated by a statistical machine translation (SMT) system always contain both correct parts (e.g. words, n-grams, phrases matched with reference translations) ... machine-generated translation hypothe- ses for our error detection, we use a state-of-the-art phrase-based machine translation system MOSES (Koehn et al., 2003; Koehn et al., 2007). The translation ... Xinhua News V1 beta LDC2005T06 Chinese News Translation LDC2003E07 Chinese Treebank LDC2004T07 Multiple Translation Chinese Table 2: Training corpora for the translation task. on Xinhua section of...

Ngày tải lên: 23/03/2014, 16:20

Ngày tải lên: 23/03/2014, 16:20

Ngày tải lên: 23/03/2014, 16:21

Ngày tải lên: 23/03/2014, 18:20

Ngày tải lên: 23/03/2014, 19:20

Ngày tải lên: 23/03/2014, 19:20