... Zhang, Hongfei Jiang, AiTi Aw, Haizhou Li, Chew Lim Tan and Sheng Li. 200 8a. Atreesequence alignment-based tree- to -tree translation model. ACL-08. 559-567. Min Zhang, Hongfei Jiang, Haizhou ... statistical machine translation with syn-tactified target language phrases. EMNLP-06. 44-52. Franz J. Och and Hermann Ney. 2004. The alignment template approach to statistical machine translation. ... statistical translation model. ACL-01. 523-530 Min Zhang, Hongfei Jiang, AiTi Aw, Jun Sun, Sheng Li and Chew Lim Tan. 2007. A tree- to -tree alignment-based model for statistical machine translation....
... Forest-to-String Statistical Translation Rules. ACL-07. 704-711. Daniel Marcu, W. Wang, A. Echihabi and K. Knight. 2006. SPMT: Statistical Machine Translation with Syntactified Target Language Phrases. ... decoding algorithm. It translates each span ite-ratively from small one to large one (lines 1-2). This strategy can guarantee that when translating the current span, all spans smaller than the ... Brooke Cowan, Ivona Kucerova and Michael Collins. 2006. A discriminative model for tree- to -tree transla-tion. EMNLP-06. 232-241. Yuan Ding and Martha Palmer. 2005. Machine transla-tion using...
... DOM tree alignments, there is substantial re-search focusing on syntactic tree alignment model for machine translation. For example, (Wu 1997; Alshawi, Bangalore, and Douglas, 2000; Yamada and ... documents. Parallel hyperlinks are used to pin-point new parallel data, and make parallel data mining a recursive process. Parallel text chunks are fed into sentence aligner to extract parallel ... three features, the maximum en-tropy model is trained on 1,000 pairs of web pages manually labeled as parallel or non-parallel. The Iterative Scaling algorithm (Pietra, Pietra and Lafferty...
... com-pression tasks achieved a significant com-pression rate without any loss.1 IntroductionThere has been an increase in available N -gramdata and a large amount of web-scaled N-gramdata has been ... Communication Science Laboratories2-4 Hikaridai Seika-cho Soraku-gun Kyoto 619-0237 Japan{taro,tsukada,isozaki}@cslab.kecl.ntt.co.jpAbstractEfficient processing of tera-scale text datais an important ... the ACL-IJCNLP 2009 Conference Short Papers, pages 341–344,Suntec, Singapore, 4 August 2009.c2009 ACL and AFNLP A Succinct N-gram Language Model Taro Watanabe Hajime Tsukada Hideki IsozakiNTT...
... translation, we develop a discriminative or-der model. An advantage of such amodel is that wecan easily combine different kinds of features (suchas syntax-based and surface-based), and that ... Lin. 2006. Maximum entropy basedphrase reordering model for statistical machine translation.In ACL.K. Yamada and Kevin Knight. 2001. A syntax-based statisticaltranslation model. In ACL.16 ... inference and train-ing of context-rich syntactic translation models. In ACL.P. Koehn. 2004. Pharaoh: A beam search decoder for phrase-based statistical machine translation models. In AMTA.R....
... DCPIPassay, the E1aY28 1A and E1aR28 2A mutants displayed a catalytic activity about twice that of wild-type E1. The singlemutants E1aR26 7A and E1aD27 6A and the multiplemutants E1aY28 1A/ R28 2A/ S28 3A ... lane 5: E1aR26 7A mutant; lane 6:E1aR26 7A mutant + di-domain; lane 7: E1aD27 6A mutant; lane 8:E1aD27 6A mutant + di-domain. The gels for the other mutants werevirtually identical (data not shown). ... mutant E1s with di-domain at a 16-foldmolarexcessofdi-domainoverE1.Lane1:E1wild-type;lane2:E1wild-type + di-domain; lane 3: E1aF26 6A mutant; lane 4:E1aF26 6A mutant + di-domain; lane 5: E1aR267A...
... and applied naive Bayes and decision tree to it. Their accuracy results are worse than(Blaheta and Charniak, 2000). Neither (Blaheta andCharniak, 2000) nor (Lintean and Rus, 200 7a; Lin-tean and ... binary annotationscan again be treated as pseudo function tags and theproposed tree annotator can be readily applied to thisproblem.As an example, the top half of Figure 3 con-tains an Arabic ... Chinese TreeBank: Phrasestructure annotation of a large corpus. Natural Lan-guage Engineering, 11(2):207–238.Kenji Yamada and Kevin Knight. 2001. A syntax-basedstatistical translation model. In...
... is part of the Lancaster Treebank corpusand contains 1473 sentences. Each sentence con-tains hand-labeled syntactic roles for natural lan-guage text. A. 200 A. 400 A. 600 A. 800 A. 1000 A. 1200 A. 14000.860.880.900.920.94B.200B.400B.600B.800B.1000B.1200B.14000.860.880.900.920.940.860.880.900.920.94FC.200C.400C.600C.800C.1000C.1200C.14000.860.880.900.920.940.860.880.900.920.94FFigure ... different model on the Lan-caster Treebank data set. The models used in thisevaluation were trained with observation data fromthe Lancaster Treebank training set. The trainingset and testing set are ... of an HHMMThe models discussed here are evaluatedby applying them to natural language tasksbased on CoNLL-20041and a sub-corpusof the Lancaster Treebank2.Keywords: information extraction,...
... nominalattributes can have one of a (user-defined) closed setof possible values. The data model also supportsassociative relations between markables: Markableset relations associate arbitrarily many markableswith ... with a capital letter.Markables are the carriers of the actual annota-tion information. They can be queried by meansof string matching and by means of attribute-valuecombinations. A markable ... in a separate file. If these principles areobserved, annotation data management (incl. leveladdition, removal and replacement, but also conver-sion into and from other formats) is greatly facili-tated.The...
... requires an A/ T rich sequence motifand sequence specific DNA binding proteinsVijayasarathy Camasamudram, Ji-Kang Fang and Narayan G. AvadhaniLaboratories of Biochemistry, Department of Animal Biology, ... putativepolyadenylation signal, AAUAAA, is conserved in human,mouse and rat mt genomes [20]. A dodecamer sequence AAUAA(U/C)AUUCUU was also shown to be the site ofpre-mRNA processing and 3¢ end formation ... show that the putativepolyadenylation signal AATAAA, and also the sequencesupstream and downstream of the canonical polyadenylationsignal are important for protein binding to D-TERM DNA.The...
... and non topical information; initiative and task solution(n); trannaction opening, initiative, and task plan opening; reaction and parameter value; transaction closing, evaluation and task ... evaluation permits when X has initiated an exchange and Y reacted that X evaluates this exchange. The evaluation cannot be made whilst there is no reaction taking place. This rule (as any ... Many researchers have observed that oral dia- logue is not merely organized as a cascade of ad- jacency pairs as Schlegoff and Sacks {1973} sug. gested. Task oriented dialogues have been ana-...
... Kamitori S, Abe A, Ohtaki A, Kaji A, Tonozuka T &Sakano Y (2002) Crystal structures of Thermoactino-myces vulgaris R-47 a- amylase 1 (TVA I) at 1.6 A ˚reso-lution and a- amylase 2 (TVA ... Aspergillus oryzae(TAKA) a- amylase: an application of the simulated-annealing method. Acta Crystallog Sect B 47, 535–544.21 Tonozuka T, Sakai H, Ohta T & Sakano Y (1994) A convenient enzymatic synthesis ... Henrissat B (1991) A classification of glycosyl hydrasesbased on amino acid sequence similarities. Biochem J280, 309–316.2 Tonozuka T, Mogi S, Shimura Y, Ibuka A, Sakai H,Matsuzawa H, Sakano Y &...
... translated to Janata Dal (literal translation) although LXTöç (Janata) and V_ (Dal) are vocabulary words]. On the other hand ^çV[ýYÇÌ[ý ×[ý`Ÿ×[ýVîç_Ì^ (jadavpur viswavidyalaya) is translated ... on Computational Approaches to Semitic Languages, Montral, Canada, 34-41. Virga Paola and Sanjeev Khudanpur. 2003. Transliteration of Proper Names in Crosslingual Information Retrieval. Proceedings ... this approach for back transliteration from Arabic to English for English names. A spelling-based model is described in (Al-Onaizan and Knight, 200 2a; Al-Onaizan and Knight, 2002c) that directly...
... togetherwith a bigram language model. Then each ofthese analysis is rescored using the TAG chan-nel model and a syntactic parser based language model. The TAG channel model s analysis do not ... enables a direct comparison with earlier work.We followed Charniak and Johnson (2001) andsplit the corpus into main training data, held-out training data and test data as follows: maintraining ... words thanthe classifier proposed in Charniak and Johnson(2001). Replacing the bigram language model with a trigram model helps slightly, and parser-based language model results in a significantperformance...