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The strings corresponding
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Part 2 book "String theory demystified" includes content: Compactifi cation and T-Duality, superstring theory continued, a summary of superstring theory, type II string theories, heterotic string theory, D-branes, black holes, the holographic principle and AdS/CFT correspondence, string theory and cosmology.
154p
muasambanhan07
08-02-2024
4
0
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Lecture Theory of Automata: Lesson 16. The main topics covered in this chapter include: applying an NFA on an example of maze, NFA with null string and examples, RE corresponding to NFA with null string (task), converting NFA to FA (method 1,2,3) examples,...
26p
wangziyi_1307
26-04-2022
11
3
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Lecture Theory of Automata: Lesson 17. The main topics covered in this chapter include: converting NFA to FA (method 3) and example, NFA and Kleene’s theorem method 1 and examples, NFA and Kleene’s theorem method 2, NFA corresponding to union of FAs and example,...
22p
wangziyi_1307
26-04-2022
12
2
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Lecture Theory of Automata: Lesson 19. The main topics covered in this chapter include: NFA corresponding to Closure of FA and examples, memory required to recognize a language and example, distinguishing one string from another and example, theorem and proof,...
20p
wangziyi_1307
26-04-2022
11
2
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Lecture Theory of Automata: Lesson 21. The main topics covered in this chapter include: example of Moore machine, mealy machine and examples, complementing machine, incrementing machine, identify the relation between the input strings and the corresponding output strings in the following Moore machine,...
22p
wangziyi_1307
26-04-2022
12
2
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Lecture Theory of Automata: Lesson 33. The main topics covered in this chapter include: construct the CFG for the language of strings, beginning and ending in same letters; the expressions can be calculated starting from bottom to the top, replacing each nonterminal by the result of calculation;...
18p
wangziyi_1307
26-04-2022
15
2
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Lecture Theory of Automata: Lesson 39. The main topics covered in this chapter include: PDA corresponding to CFG, examples of PDA corresponding to CFG, corresponding to any CFG there exists a PDA accepting the language generated by the CFG, consider the word aab with its left most derivation,...
21p
wangziyi_1307
26-04-2022
10
2
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In this work we extend the results obtained in [5] on mass shifting for bosonic string to the case of superstring. The modified anomaly terms of superstring superalgebras are shown and the corresponding BRST charge is used.
4p
nguyenxuankha_bevandan
14-08-2020
13
1
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This chapter presents the following content: Examples of Kleene’s theorem part III (method 3), NFA, examples, avoiding loop using NFA, example, converting FA to NFA, examples, applying an NFA on an example of maze, NFA with null string, examples, RE corresponding to NFA with null string (task), converting NFA to FA (method 1,2,3) examples, NFA and Kleene’s theorem method 1, examples, NFA and Kleene’s theorem method 2, examples.
25p
thuongdanguyetan03
18-04-2020
12
1
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The following will be discussed in this chapter: NFA corresponding to closure of FA, examples, memory required to recognize a language, example, distinguishing one string from another, example, theorem, proof.
38p
thuongdanguyetan03
18-04-2020
14
1
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The paper introduces a grammar formalism for defining the set of sentences in a language, a set of labeled trees (not the derivation trees of the grammar) for the representation of the interpretation of the sentences, and the (possibly non-projective) correspondence between subtrees of each tree and substrings of the related sentence. The grammar formalism is motivated by the linguistic approach (adopted at GETA) where a multilevel interpretative structure is associated to a sentence.
7p
buncha_1
08-05-2013
50
2
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In this paper we sketch an approach for Natural Language parsing. Our approach is an example-based approach, which relies mainly on examples that already parsed to their representation structure, and on the knowledge that we can get from these examples the required information to parse a new input s e n t e n c e . In our approach, examples are annotated with the Structured String Tree Correspondence (SSTC) annotation schema where each SSTC describes a sentence, a representation tree as well as the correspondence between substrhzgs in the sentence and subtrees in the representation tree. ...
7p
bunrieu_1
18-04-2013
39
3
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It is important to correct the errors in the results of speech recognition to increase the performance of a speech translation system. This paper proposes a method for correcting errors using the statistical features of character co-occurrence, and evaluates the method. The proposed method comprises two successive correcting processes. The first process uses pairs of strings: the first string is an erroneous substring of the utterance predicted by speech recognition, the second string is the corresponding section of the actual utterance.
5p
bunrieu_1
18-04-2013
49
3
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This paper presents a new bootstrapping approach to named entity (NE) classification. This approach only requires a few common noun/pronoun seeds that correspond to the concept for the target NE type, e.g. he/she/man/woman for PERSON NE. The entire bootstrapping procedure is implemented as training two successive learners: (i) a decision list is used to learn the parsing-based high precision NE rules; (ii) a Hidden Markov Model is then trained to learn string sequence-based NE patterns.
8p
bunbo_1
17-04-2013
42
2
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This paper discusses the challenges and proposes a solution to performing information retrieval on the Web using Chinese natural language speech query. The main contribution of this research is in devising a divide-and-conquer strategy to alleviate the speech recognition errors. It uses the query model to facilitate the extraction of main core semantic string (CSS) from the Chinese natural language speech query.
8p
bunbo_1
17-04-2013
50
1
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In this paper, we propose forest-to-string rules to enhance the expressive power of tree-to-string translation models. A forestto-string rule is capable of capturing nonsyntactic phrase pairs by describing the correspondence between multiple parse trees and one string. To integrate these rules into tree-to-string translation models, auxiliary rules are introduced to provide a generalization level.
8p
hongvang_1
16-04-2013
64
1
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TDictionary represents a generic collection of key-value pairs. This class provides a mapping from a collection of keys to a collection of values. When you create a TDictionary object, you can specify various combinations of initial capacity, equality operation, and initial content. You can add a key that is associated with a corresponding value with the Add or AddOrSetValue methods. You can remove entries with Remove or Clear, which removes all key-value pairs. Adding or removing a key-value pair and looking up a key are efficient, close to O(1), because keys are hashed.
178p
hoangchung_dtvt
12-12-2012
62
9
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The 2002 Clay School on Geometry and String Theory was held at the Isaac Newton Institute for Mathematical Sciences, Cambridge, UK from 24 March - 20 April 2002. It was organized jointly by the organizers of two concurrent workshops at the Newton Institute, one on Higher Dimensional Complex Geometry organized by Alessio Corti, Mark Gross and Miles Reid, and the other on M-theory organized by Robbert Dijkgraaf, Michael Douglas, Jerome Gauntlett and Chris Hull, in collaboration with Arthur Jaffe, then president of the Clay Mathematics Institute....
386p
camchuong_1
10-12-2012
45
4
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Đổi chữ thường thành chữ hoa: Function UpperUniChar(Ch) As String ' Return the Uppercase for a given vowel or dd Dim Pos ' Position of character in Unicode vowel list ' Locate the character in list of Unicode vowels Pos = InStr(UVowels, Ch) If (Pos 67) Then UpperUniChar = Ch ' It's already uppercase - leave it alone ElseIf (Pos 0) Then ' It's a Lowercase Unicode Vowel - so get the corresponding Uppercase vowel in the list UpperUniChar = Mid(UVowels, Pos + 67, 1) Else ' It's just a normal ANSI character UpperUniChar = UCase(Ch) End If...
6p
abcdef_45
27-10-2011
44
3
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Using the SqlDataSource Control LISTING 9.29 DynamicImage.ashx using using using using using System.Data; System.Web; System.Web.Configuration; System.Web.UI; System.Web.UI.WebControls; /// /// Displays an image corresponding to the Id passed /// in a query string field /// public class DynamicImage : IHttpHandler { public void ProcessRequest (HttpContext context) { // Get the Id of the image to display string imageId = context.Request.QueryString[“Id”]; // Use SqlDataSource to grab image bytes SqlDataSource src = new SqlDataSource(); src.ConnectionString = WebConfigurationManager.
10p
yukogaru11
30-11-2010
84
8
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