Báo cáo khoa học: "Tackling Sparse Data Issue in Machine Translation Evaluation ∗" pptx

... Proceedings of the ACL 2010 Conference Short Papers, pages 86–91, Uppsala, Sweden, 11-16 July 2010. c 2010 Association for Computational Linguistics Tackling Sparse Data Issue in Machine Translation ... statistical machine translation. In Pro- ceedings of the Fourth Workshop on Statistical Ma- chine Translation, Athens, Greece. Association for Computational Linguistics. Sil...

Ngày tải lên: 30/03/2014, 21:20

... methods for predicting learning curves in both these scenarios. 1 Introduction Parallel data in the domain of interest is the key re- source when training a statistical machine transla- tion (SMT) ... set of training datasets, T c is the set of test datasets for training configuration c, ˆ θ is as defined in Eq. 2, N is the total number of combinations of training configurations and te...

Ngày tải lên: 07/03/2014, 18:20

... does not need to contain special rules for ‘multi-word’ words: W P= IN In order to /W In order to IN W P= IN in relation to /W in relation to IN W P=’JJ’ in vitro /W in vitro JJ The same technique ... cov- ering node are inherited from the word, not the tag. This method of combining POS tag infor- mation with lexical entries preserves all informa- tion in the lexical entries...

Ngày tải lên: 08/03/2014, 05:20

... Trigger-Based Lexicon Models. In: Pro- ceedings of EMNLP, Singapore. F. Och. 2003. Minimum error rate training in statistic- al machine translation. In: Proceedings of ACL. Sapporo, Japan. S. Pado ... sta- tistical machine translation. In Proceedings of EMNLP, pp. 206–213. July. Barcelona, Spain. 843 Proceedings of the 48th Annual Meeting of the Association for Computationa...

Ngày tải lên: 20/02/2014, 04:20

... quadratic in the worst case but still linear in the best case. In Section 4, we present experi- ments indicating that the expected running time of the new system on naturally occurring data is in fact ... words in the input. Adding the swapping operation changes the time complexity for deterministic parsing from linear to quadratic in the worst case, but empirical estimates base...

Ngày tải lên: 20/02/2014, 07:20

... changes during de- coding (and thus lessening the need for syntactic decoding) by rearranging input words in the train- ing data to match the syntactic structure of the target language. Finally, ... implemented in (Stolcke, 2002), and we only kept 4-grams and 5-grams that occurred at least three times in the training data. 6 For tuning and testing, we use the official NIST MT evalua...

Ngày tải lên: 20/02/2014, 07:20

... aims at building an exper- imental machine translation system from Norwe- gian to English of texts in the domain of hiking in the wilderness (Oepen et al., 2004). It is funded within the Norwegian ... assembles independently valuable general-purpose NLP components into a machine trans- lation pipeline that capitalizes on output quality. The demonstrator embodies an in- teresting c...

Ngày tải lên: 20/02/2014, 12:20

... symbols. 4. The binary predicate symbol ‘= q ’. MRS constraints have three kinds of literals, two kinds of elementary predications (EPs) in the first two lines and handle constraints in the third line: 1. ... dominance edges are plotted in Fig. 9. Inputs are grouped according to the constraint size. The filled circles indicate average runtimes within each size group for enumerating all so...

Ngày tải lên: 20/02/2014, 15:21

... (Niehren and Koller, 1998) if binding and linking relations in A-structures are ignored. For the interaction of binding with parallelism we follow the basic idea that binding relations should be ... variable-capturing when instan- tiating underspecified scope representations. In principle, capturing may occur in all formalisms for structural underspecification which repre- sent...

Ngày tải lên: 20/02/2014, 18:20

... combining in- domain and 42 out-of-domain data for the purpose of bootstrap- ping a part-of-speech tagger for Chinese, outper- forming standard methods such as EM. 4 Backoff Models in MT In order ... when training data is limited or from a different domain. Many current and future ap- plications of machine translation require the rapid porting of existing systems to new languages...

Ngày tải lên: 22/02/2014, 02:20