Implementing Language-Dependent Lexicographic Orders in Scheme Jean-Michel Hufflen
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MA/CSSE 473 Day 15 Return Exam
MA/CSSE 473 Day 15 Return Exam Student questions Towers of Hanoi Subsets Ordered Permutations MA/CSSE 473 Day 13 • Student Questions on exam or anything else •Towers of Hanoi • Subset generation –Gray code • Permutations and order 1 Towers of Hanoi •Move all disks from peg A to peg B •One at a time • Never place larger disk on top of a smaller disk •Demo •Code • Recurrence and solution Towers of Hanoi code Recurrence for number of moves, and its solution? 2 Permutations and order number permutation number permutation •Given a permutation 0 0123 12 2013 of 0, 1, …, n‐1, can 1 0132 13 2031 2 0213 14 2103 we directly find the 3 0231 15 2130 next permutation in 4 0312 16 2301 the lexicographic 5 0321 17 2310 sequence? 6 1023 18 3012 7 1032 19 3021 •Given a permutation 8 1203 20 3102 of 0..n‐1, can we 9 1230 21 3120 determine its 10 1302 22 3201 11 1320 23 3210 permutation sequence number? •Given n and i, can we directly generate the ith permutation of 0, …, n‐1? Subset generation • Goal: generate all subsets of {0, 1, 2, …, N‐1} • Bottom‐up (decrease‐by‐one) approach •First generate Sn‐1, the collection of all subsets of {0, …, N‐2} •Then Sn = Sn‐1 { Sn‐1 {n‐1} : sSn‐1} 3 Subset generation • Numeric approach: Each subset of {0, …, N‐1} corresponds to an bit string of length N where the ith bit is 1 iff i is in the subset. •So each subset can be represented by N bits. -
Grapheme-To-Phoneme Transcription in Hungarian
International Journal of Computational Linguistics and Applications vol. 7, no. 1, 2016, pp. 161–173 Received 08/02/2016, accepted 07/03/2016, final 20/06/2016 ISSN 0976-0962, http://ijcla.bahripublications.com Grapheme-to-Phoneme Transcription in Hungarian ATTILA NOVÁK1 AND BORBÁLA SIKLÓSI2 1 MTA-PPKE Hungarian Language Technology Research Group, Hungary 2 Pázmány Péter Catholic University, Hungary ABSTRACT A crucial component of text-to-speech systems is the one respon- sible for the transcription of the written text to its phonemic rep- resentation. although the complexity of the relation between the written and spoken form of languages varies, most languages have their regular and irregular phonological set of rules. In this paper, we present a system for the phonemic transcription of Hungarian. Beside the implementation of rules describing default letter-to-phoneme correspondences and morphophonological al- ternations, the tool incorporates the knowledge of a Hungarian morphological analyzer in order to be able to detect compound and other morpheme boundaries, and it contains a rich lexicon of entries with irregular pronunciation. It is shown that the system performs well even on texts containing a high number of foreign names. 1 INTRODUCTION In the research reported about in this study, our goal was to imple- ment a system that can automatically transform written Hungarian to its phonemic representation. The original intent of the system This is a pre-print version of the paper, before proper formatting and copyediting by the editorial staff. 162 ATTILA NOVÁK AND BORBÁLA SIKLÓSI was to transcribe a database of Hungarian geographic terms. How- ever, due to certain design decisions, our system proved to perform well also on texts containing a high ratio of foreign names and suf- fixed forms. -
J Two Flying Machines SZ J
A. Riehardson. Jr.; Docey \y„ lini Alice M. Dow as Flora and Stella JfOK by Bingen, A W. Wit bee. llangur; Brown, who holds the office of < eres. ^"fU> Gilbert «3ssf?»a3as5SBKS!ss!55:<i Society Todd, lig by Todd, Charles as lady assistant steward. Commit- 'T^rlctiHiTiil Steward: Cordon .... Russell, by Guy /\x- tee on applications, \V. It. Hafey, ('• I worthy, J. Robt. Clark, Weterville; C Cleveland, W. IS. Whittier, who re- bin v Holotta, by Bingen, George R. Pal- ported favorably on the names of sev- mer, Sangerville; Peter J., in ,A,r rrnsK $20. bg by Pet- en applicants who were instructed er the Great, S. J. Parker. St. Al- Hie admitted to h ' Har Pomona degree and BIGGER K BETTER In Ruth Merrinmn, rnt I V'b* bans; by Merri- Tfcls with the open- i »!■1. Lightning membership. man C, P. 1). Nelson, Dexter; »: ? W"’ in tnlim. ( lull ! Georgia, ing ceremonies occupied the morning Inn, P. D. Nelson, I M II Richard- j Spaundler, Dexter session. *»slu'y:,rI'. 2.B5 TROT AND PACK, I TUSK ses- » \.■■-xa.nlro, li. j $150 At the opening of the afternoon « Somerset Central si Prince Dell, bg. Asa Grant; Golden res- 'Sa j sion the officers occupied their Agricultural Society 'Xk"'^ <:nan.VK I Seal, clis by I’ddie Tory, Harry Clukey; pective chairs executing the offi- ■ Dr D. by fv K I- I Baroness Marjorie, by Baron Review, cers' drill. were adopt- l‘f c.i, !.v Twilling- ; Resolutions S .....:<s A. Riehardson, Van Gain, rs liv ====_===_ ■*. -
Technical Data Sheet FM..F-SZ
Technical data sheet FM..F-SZ Flow sensor Calibrated ultrasonic flow sensor, temperature and glycol compensated. With DC 0.5...10 V output signal. This sensor can be used in closed cold and warm water systems and is robust against dirt and magnetite. There is also a low pressure drop across the sensor. Type Overview Output signal Type DN FS [l/s] ∆p [kPa] PN active volumetric flow FM065F-SZ 65 9.6 12 16 0.5...10 V FM080F-SZ 80 13.6 13 16 0.5...10 V FM100F-SZ 100 24.0 12 16 0.5...10 V FM125F-SZ 125 37.5 13 16 0.5...10 V FM150F-SZ 150 54.0 15 16 0.5...10 V FS: Full scale, maximum measurable flow ∆p: Pressure drop at FS Technical data Electrical data Nominal voltage AC/DC 24 V Nominal voltage frequency 50/60 Hz Nominal voltage range AC 19.2...28.8 V / DC 21.6...28.8 V Power consumption AC 1 VA Power consumption DC 0.5 W Connection supply Cable , 3 x 0.75 mm² Functional data Application Water Voltage output 1x 0...10 V, max. load 1 mA Pipe connection Flange PN 16 according to EN 1092-2 Installation position upright to horizontal Servicing maintenance-free Measuring data Measured values Flow Measuring fluid Water and water glycol mixtures Measuring principle Ultrasonic volumetric flow measurement Measuring accuracy flow ±2% of the measured value (20...100% FS) @ 20°C / Glycol 0% vol. ±0.4% of FS (0...20% FS) @ 20°C / Glycol 0% vol. -
1 (15 Points) Lexicosort
CS161 Homework 2 Due: 22 April 2016, 12 noon Submit on Gradescope Handed out: 15 April 2016 Instructions: Please answer the following questions to the best of your ability. If you are asked to show your work, please include relevant calculations for deriving your answer. If you are asked to explain your answer, give a short (∼ 1 sentence) intuitive description of your answer. If you are asked to prove a result, please write a complete proof at the level of detail and rigor expected in prior CS Theory classes (i.e. 103). When writing proofs, please strive for clarity and brevity (in that order). Cite any sources you reference. 1 (15 points) LexicoSort In class, we learned how to use CountingSort to efficiently sort sequences of values drawn from a set of constant size. In this problem, we will explore how this method lends itself to lexicographic sorting. Let S = `s1s2:::sa' and T = `t1t2:::tb' be strings of length a and b, respectively (we call si the ith letter of S). We say that S is lexicographically less than T , denoting S <lex T , if either • a < b and si = ti for all i = 1; 2; :::; a, or • There exists an index i ≤ min fa; bg such that sj = tj for all j = 1; 2; :::; i − 1 and si < ti. Lexicographic sorting algorithm aims to sort a given set of n strings into lexicographically ascending order (in case of ties due to identical strings, then in non-descending order). For each of the following, describe your algorithm clearly, and analyze its running time and prove cor- rectness. -
Total Ordering on Subgroups and Cosets
Total Ordering on Subgroups and Cosets ∗ Alexander Hulpke Steve Linton Department of Mathematics Centre for Interdisciplinary Research in Colorado State University Computational Algebra 1874 Campus Delivery University of St Andrews Fort Collins, CO 80523-1874 The North Haugh [email protected] St Andrews, Fife KY16 9SS, U.K. [email protected] ABSTRACT permutation is thus the identity element ( ).) In the sym- We show how to compute efficiently a lexicographic order- metric group Sn this comparison of elements takes at most ing for subgroups and cosets of permutation groups and, n point comparisons. In a similar way a total order on a field F induces a to- more generally, of finite groups with a faithful permutation n representation. tal lexicographic order on the n-dimensional row space F which in turn induces a total (again lexicographic) order on the set F n×n of n×n matrices with entries in F . A compar- Categories and Subject Descriptors ison of two matrices takes at most n2 comparisons of field F[2]: 2; G [2]: 1; I [1]: 2 elements. As a third case we consider the automorphism group G of a (finite) group A. A total order on the elements of A again General Terms induces a total order on the elements of G by lexicographic Algorithms comparison of the images of a generating list L of A. (It can be convenient to take L to be sorted as well. The most Keywords “generic” choice is probably L = A.) Comparison of two automorphisms will take at most |L| comparisons of images. -
Implementing Language-Dependent Lexicographic Orders in Scheme
Implementing Language-Dependent Lexicographic Orders in Scheme Jean-Michel HUFFLEN LIFC (EA CNRS 4157) — University of Franche-Comté 16, route de Gray — 25030 BESANÇON CEDEX — FRANCE Abstract algorithm related to Unicode, an industry standard designed to al- The lexicographical order relations used within dictionaries are low text and symbols from all of the writing systems of the world to language-dependent, and we explain how we implemented such be consistently represented [2006]. Our method can be generalised orders in Scheme. We show how our sorting orders are derived to other alphabets. In addition, let us mention that if a document from the Unicode collation algorithm. Since the result of a Scheme cites some works written using the Latin alphabet and some writ- function can be itself a function, we use generators of sorting ten using another alphabet (Arabic, Cyrillic, . ), they are usually orders. Specifying a sorting order for a new natural language has itemised in two separate bibliography sections. So this limitation is been made as easy as possible and can be done by a programmer not too restrictive within MlBIBTEX’s purpose. who just has basic knowledge of Scheme. We also show how The next section of this article is devoted to some examples Scheme data structures allow our functions to be programmed in order to give some idea of this task’s complexity. We briefly efficiently. recall the principles of the Unicode collation algorithm [2006a] in Section 3 and explain how we adapted it in Scheme in Section 4. Keywords Lexicographical order relations, collation algorithm, Section 5 discusses some points, gives some limitations of our Unicode, MlBIBTEX, Scheme. -
A Versatile Algorithm to Generate Various Combinatorial Structures
A Versatile Algorithm to Generate Various Combinatorial Structures Pramod Ganapathi,∗ Rama B† August 23, 2018 Abstract Algorithms to generate various combinatorial structures find tremen- dous importance in computer science. In this paper, we begin by reviewing an algorithm proposed by Rohl [24] that generates all unique permutations of a list of elements which possibly contains repetitions, taking some or all of the elements at a time, in any imposed order. The algorithm uses an auxiliary array that maintains the number of occurrences of each unique element in the input list. We provide a proof of correctness of the algo- rithm. We then show how one can efficiently generate other combinatorial structures like combinations, subsets, n-Parenthesizations, derangements and integer partitions & compositions with minor changes to the same algorithm. 1 Introduction Algorithms which generate combinatorial structures like permutations, combi- nations, etc. come under the broad category of combinatorial algorithms [16]. These algorithms find importance in areas like Cryptography, Molecular Bi- ology, Optimization, Graph Theory, etc. Combinatorial algorithms have had a long and distinguished history. Surveys by Akl [1], Sedgewick [27], Ord Smith [21, 22], Lehmer [18], and of course Knuth’s thorough treatment [12, 13], arXiv:1009.4214v2 [cs.DS] 30 Sep 2010 successfully capture the most important developments over the years. The lit- erature is clearly too large for us to do complete justice. We shall instead focus on those which have directly impacted our work. The well known algorithms which solve the problem of generating all n! per- mutations of a list of n unique elements are Heap Permute [9], Ives [11] and Johnson-Trotter [29]. -
A New Method for Generating Permutations in Lexicographic Order
科學與工程技術期刊 第五卷 第四期 民國九十八年 21 Journal of Science and Engineering Technology, Vol. 5, No. 4, pp. 21-29 (2009) A New Method for Generating Permutations in Lexicographic Order TING KUO Department of International Trade, Takming University of Science and Technology No. 56, Sec.1, HuanShan Rd., Neihu, Taipei, Taiwan 11451, R.O.C. ABSTRACT First, an ordinal representation scheme for permutations is defined. Next, an “unranking” algorithm that can generate a permutation of n items according to its ordinal representation is designed. By using this algorithm, all permutations can be systematically generated in lexicographic order. Finally, a “ranking” algorithm that can convert a permutation to its ordinal representation is designed. By using these “ranking” and “unranking” algorithms, any permutation that is positioned in lexicographic order, away from a given permutation by any specific distance, can be generated. This significant benefit is the main difference between the proposed method and previously published alternatives. Three other advantages are as follows: First, not being restricted to sequentially numbering the n items from one to n, this method can even handle items with non-numeral marks without the aid of mapping. Second, this approach is well suited to a wide variety of permutation generations such as alternating permutations and derangements. Third, the proposed method can also be extended to a multiset. Key Words: lexicographic order, ordinal representation, permutation, ranking, unranking 一個依字母大小序產生排列的新方法 郭定 德明財經科技大學國際貿易系 11451 臺北市內湖區環山路一段 56 號 摘 要 首先,我們為排列問題定義一個順序表示法。第二,我們設計一個定序演算法,它可以根 據一個 n 項目的順序表示產生其對應的排列。藉由此演算法,我們可以依字母大小序地系統化 產生所有的 n 項目排列。第三,我們設計一個解序演算法,它可以根據一個 n 項目的排列產生 其對應的順序表示。藉由此兩個演算法,我們可以產生離一個 n 項目的排列任意距離,依字母 大小序而言,的另一個排列;此特點是我們的方法與其它研究最不同的地方。我們的方法還有 另三項優點如下:第一,它不限制於必須是 1 至 n 的連續數目,甚至於可以無需藉由轉換而直 接處理非數字的排列。第二,它也很適合用在其它的排列問題上,例如產生交替排列與錯位排 列。第三,它也可擴展至針對含有重複元素的集合之排列問題上。 22 Journal of Science and Engineering Technology, Vol. -
Neural Stem Cells for Early Ischemic Stroke
International Journal of Molecular Sciences Review Neural Stem Cells for Early Ischemic Stroke Milton H. Hamblin 1,* and Jean-Pyo Lee 2,3,* 1 Department of Pharmacology, Tulane University School of Medicine, 1430 Tulane Ave, New Orleans, LA 70112, USA 2 Department of Physiology, Tulane University School of Medicine, 1430 Tulane Ave, New Orleans, LA 70112, USA 3 Tulane Brain Institute, Tulane University, 1430 Tulane Ave, New Orleans, LA 70112, USA * Correspondence: [email protected] (M.H.H.); [email protected] (J.-P.L.) Abstract: Clinical treatments for ischemic stroke are limited. Neural stem cell (NSC) transplantation can be a promising therapy. Clinically, ischemia and subsequent reperfusion lead to extensive neurovascular injury that involves inflammation, disruption of the blood-brain barrier, and brain cell death. NSCs exhibit multiple potentially therapeutic actions against neurovascular injury. Currently, tissue plasminogen activator (tPA) is the only FDA-approved clot-dissolving agent. While tPA’s thrombolytic role within the vasculature is beneficial, tPA’s non-thrombolytic deleterious effects aggravates neurovascular injury, restricting the treatment time window (time-sensitive) and tPA eligibility. Thus, new strategies are needed to mitigate tPA’s detrimental effects and quickly mediate vascular repair after stroke. Up to date, clinical trials focus on the impact of stem cell therapy on neuro-restoration by delivering cells during the chronic stroke stage. Also, NSCs secrete factors that stimulate endogenous repair mechanisms for early-stage ischemic stroke. This review will present an integrated view of the preclinical perspectives of NSC transplantation as a promising treatment for neurovascular injury, with an emphasis on early-stage ischemic stroke. -
Technical Data Sheet CQ24A-SZ
Technical data sheet CQ24A-SZ Rotary actuator for zone valves • Torque motor 1 Nm • Nominal voltage AC/DC 24 V • Control modulating 0.5...10 V • Position feedback 0.5...10 V • Snap-assembly of the actuator • Flow setting variable Technical data Electrical data Nominal voltage AC/DC 24 V Nominal voltage frequency 50/60 Hz Nominal voltage range AC 19.2...28.8 V / DC 21.6...28.8 V Power consumption in operation 0.3 W Power consumption in rest position 0.3 W Power consumption for wire sizing 0.6 VA Connection supply / control Cable 1 m, 4 x 0.34 mm² Parallel operation Yes (note the performance data) Functional data Torque motor 1 Nm Operating range Y 0.5...10 V Input Impedance 100 kΩ Position feedback U 0.5...10 V Manual override with actuator (clicked out) Running time motor 75 s / 90° Sound power level, motor 35 dB(A) Position indication Mechanical Flow setting see product features Safety data Protection class IEC/EN III, Safety Extra-Low Voltage (SELV) Degree of protection IEC/EN IP40 EMC CE according to 2014/30/EU Certification IEC/EN IEC/EN 60730-1 and IEC/EN 60730-2-14 Mode of operation Type 1 Rated impulse voltage supply / control 0.8 kV Pollution degree 2 Ambient temperature 5...40°C Storage temperature -40...80°C Ambient humidity Max. 95% RH, non-condensing Servicing maintenance-free Weight Weight 0.21 kg www.belimo.com CQ24A-SZ • en-gb • 2021-07-13 • Subject to change 1 / 4 Technical data sheet CQ24A-SZ Safety notes • This device has been designed for use in stationary heating, ventilation and air-conditioning systems and must not be used outside the specified field of application, especially in aircraft or in any other airborne means of transport. -
SZ-10 / SZ-20 Instruction Manual
DIGITAL CAMERA SZ-10/SZ-20 Instruction Manual ● Thank you for purchasing an Olympus digital camera. Before you start to use your new camera, please read these instructions carefully to enjoy optimum performance and a longer service life. Keep this manual in a safe place for future reference. ● We recommend that you take test shots to get accustomed to your camera before taking important photographs. ● In the interest of continually improving products, Olympus reserves the right to update or modify information contained in this manual. ● This manual covers the SZ-10 and SZ-20. The camera illustrations on this manual is of SZ-10. Unless otherwise specifi ed, the explanation about these illustrations is provided for SZ-10 and SZ-20. Step 1 Checking the contents of the box or Digital camera Strap Lithium Ion USB cable AV cable USB-AC adapter (F-2AC) OLYMPUS Setup Battery CD-ROM (LI-50B) Other accessories not shown: Warranty card Contents may vary depending on purchase location. Step 2 Preparing the Camera Step 3 Shooting and Playing Back Images “Preparing the Camera” (p. 13) “Shooting, Playback, and Erasing” (p. 19) Step 4 How to Use the Camera Step 5 Printing “Camera Settings” (p. 3) “Direct printing (PictBridge)” (p. 55) “Print Reservations (DPOF)” (p. 58) Contents ¾ Names of Parts ............................................... 9 ¾ Menus for Playback, Editing, and Printing ¾ Preparing the Camera ..................................13 Functions ...................................................... 44 ¾ Shooting, Playback, and Erasing ..............