... giống nhau (ví dụ, “qua”, “hoa” đều thành “wa”). - Vần: Âm đệm /-w-/ hoặc bị lược bỏ (loan → lan, luyến → liến…), hoặc được nhấn mạnh thành âm chính (loan → lon). Các nguyên âm đôi /ie, ... “ay” đọc thành /a/ (ví dụ, tay → tai). Một số nơi thuộc vùng ĐNB phát âm vần “êm êp” thành”im ip (đêm → đim).- Phụ âm cuối: Phát âm không phân biệt /-n / với /-ŋ / (tan – tang), /-t/ với...
... waiting for a response. Next, it is necessary to send a set of digits for user ID (optional)and wait for a response. Entering a set of digits for user authentication(optional) and waiting for a ... TESTSinterfacing to the IP network via a LAN. One possible configuration for sup-porting and testing black phone to black phone voice calls over an IP networkis shown in Figure B-1. Generic information on ... testbed for measuring the call setup performance of IP- PSTNGWs. E, Ethernet link; T1, CAS or PRI link; BRI, basic rate interface links. NTS stands for network time server; it provides timing information...
... over ADSLInternetworking: High-performance Ethernet bridging at maximum ADSL speedDynamically learns up to 8,192 addresses Service Port: Serial interface for local configuration and management ... 14.0 cm)Ordering Information*Note: Replace the “x” with one of the following digits: 2 = Include power supply for International use, no power cord3 = Include power supply for North American ... American power connector/cord4 = Include power supply for European use, European power cord5 = Include power supply for European use, UK/Ireland power cord....
... less than forest one); 5. Mangrove forest level 1 (thick forest with older Rhizophora);6. Mangrove forest level 2 (thin forest with younger Rhizophora); 7. Mangrove forest level 3 (forest with ... and forest forest one)Rice field after harvestMangrove forest level 1 (thick forest with older Rhizophora)Rice fieldMangrove forest level 2 (thin forest with younger Rhizophora)NipaMangrove ... for land use mapping and also mangroveforest mapping. The preliminary results of remotesensing application for land use mapping werementioned in this study. SPOT images image canbe used for...
... examining extracting languageknowledge from the real-time web for translation innews scenarios. Additionally, we are actively min-ing other language pairs to build a multi-languagelearning system.AcknowledgmentsWe ... System Demonstrations, pages 44–49,Portland, Oregon, USA, 21 June 2011.c2011 Association for Computational LinguisticsEngkoo: Mining the Web for Language LearningMatthew R. Scott, Xiaohua ... potential by exploitingits massive language resources. Direct user feed-back and implicit log data suggest that the serviceis effective for both translation utility and languagelearning, with advantages...
... alignment approach for languages with scarce resources using bilin-gual corpora of other language pairs. To perform word alignment between languages L1 and L2, we introduce a pivot language L3 and ... word alignment for languages with scarce resources using bilingual corpora of other language pairs. To perform word alignment between languages L1 and L2, we introduce a third language L3. ... word alignment for languages with scarce re-sources using bilingual corpora of other language pairs. To perform word alignment between lan- guages L1 and L2, we introduce a third language L3...
... syntactic form) without any form of coor-dinative ellipsis. The resulting non-ellipticalstructures are input to ELLEIPO, which computesand executes options for coordinative ellipsis.ELLEIPO’s ... Susi Artikel117ELLEIPO: A module that computes coordinative ellipsis for language generators that don’tKarin HarbuschComputer Science DepartmentUniversity of Koblenz-LandauPO Box 201602, ... coreferences and contrasts.ELLEIPO takes as input a non-elliptical syntac-tic structure that should meet the following fourcanonical form criteria (see Fig. 1 for the inputtree corresponding...
... Study ofSmoothing Techniques for Language Modeling. Com-puter Speech and Language, 13:359–394.S. Chen and R. Rosenfeld. 2000. A Survey of Smooth-ing Techniques for ME Models. IEEE Transactions ... in Stochastic LanguageModeling. Computer, Speech and Language, 8:1–38.B. Roark, M. Saraclar, and M. Collins. 2007. Discrimi-native n-gram Language Modeling. Computer, Speechand Language, 21:373–392.R. ... Collection for Text CategorizationResearch. Journal of Machine Learning Research,5:361–397.A. Mnih and G. Hinton. 2008. A Scalable HierarchicalDistributed Language Model. In Advances in NeuralInformation...
... LinguisticsGrammar Approximation by Representative Sublanguage:A New Model for Language LearningSmaranda MuresanInstitute for Advanced Computer StudiesUniversity of MarylandCollege Park, MD 20742, USAsmara@umiacs.umd.eduOwen ... belong to thegrammar lattice.In Figure 2, is conformal to the given sub-language . If the sublanguage wereclear loud noise then would not be con-formal to since and thusthe specialization step ... con-straints for a future paper, since it is not needed for the main result of this paper.We give below the formal definition of Lexical-833called Grammar Approximation by RepresentativeSublanguage...
... available for coding the incoming text for insertion into the machine and, after the translation process is completed, for decoding and printing the translation in the output language. Teletype-writers, ... engineers are ready to build the equipment, given the necessary sup-port. Practical mechanical language transla-tion is a definite possibility for the near future. 3 Langer, S. K., AN INTRODUCTION ... translator is imagined to use in converting a sentence from one language (the input language) into a new language (the output language). This process is assumed to consist of (1) transferring...
... dependency and predictive clustering for language modeling. In EMNLP 2002. Gao. J., Yu, H., Yuan, W., and Xu, P. 2005. Minimum sample risk methods for language modeling. In HLT/EMNLP 2005. ... of lasso for statistical language modeling for text input. Owing to the very large number of parameters, directly optimizing the pe-nalized lasso loss function is impossible. Therefore, we ... backward step is vital for model fine-tuning after major features are selected and for coping with strongly correlated features; the fixed step size of BLasso is responsible for the improvement...
... functionality is accessing language resources in response to a user’s query. It also has the meta-information for advertising its non-functional descriptions. The fundamental classes for abstract linguistic ... on the languages considered, and the actual NLP tools, these are essentially idiosyncratic, that are at hand. For example, the notion of ‘chunk’ may be differ-ent from language to language. ... included detailed taxonomies either for language resources, or for abstract linguistic objects, as shown in this paper. Graça, et al. (2006) introduced a framework for integrating NLP tools with...
... complementary information with the word trigram model in the task of next word prediction. In constructing language models for realistic applications such as speech recognition and Asian language ... In recent years, many efforts have been made to utilize linguistic structure in language modeling, which for practical reasons is still dominated by trigram-based language models. There are ... annotation is required, thereby opening up the possibility for building a language model that performs well on a wide variety of data and languages. The proposed model is evaluated using Japanese...
... thesentence level beforehand. Input files may benumbered text files or annotated files in XML-format. The annotation records linguistic infor-mation on four levels: word form, base form,part-of-speech ... provedto be useful tools for various language and NLPtasks, such as bilingual lexicon extraction for lexicography, bilingual terminology and machinetranslation. Although performance is improving,(precision ... proposedlink the information inherent in the link is storedin the different dynamic resources. The inflectedword forms will be added to the word form re-sources and the base forms to the lemmatizeddynamic...