On the Creation of a Pronunciation Dictionary for Hungarian
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Managing Order Relations in Mlbibtex∗
Managing order relations in MlBibTEX∗ Jean-Michel Hufflen LIFC (EA CNRS 4157) University of Franche-Comté 16, route de Gray 25030 BESANÇON CEDEX France hufflen (at) lifc dot univ-fcomte dot fr http://lifc.univ-fcomte.fr/~hufflen Abstract Lexicographical order relations used within dictionaries are language-dependent. First, we describe the problems inherent in automatic generation of multilin- gual bibliographies. Second, we explain how these problems are handled within MlBibTEX. To add or update an order relation for a particular natural language, we have to program in Scheme, but we show that MlBibTEX’s environment eases this task as far as possible. Keywords Lexicographical order relations, dictionaries, bibliographies, colla- tion algorithm, Unicode, MlBibTEX, Scheme. Streszczenie Porządek leksykograficzny w słownikach jest zależny od języka. Najpierw omó- wimy problemy powstające przy automatycznym generowaniu bibliografii wielo- języcznych. Następnie wyjaśnimy, jak są one traktowane w MlBibTEX-u. Do- danie lub zaktualizowanie zasad sortowania dla konkretnego języka naturalnego umożliwia program napisany w języku Scheme. Pokażemy, jak bardzo otoczenie MlBibTEX-owe ułatwia to zadanie. Słowa kluczowe Zasady sortowania leksykograficznego, słowniki, bibliografie, algorytmy sortowania leksykograficznego, Unikod, MlBibTEX, Scheme. 0 Introduction these items w.r.t. the alphabetical order of authors’ Looking for a word in a dictionary or for a name names. But the bst language of bibliography styles in a phone book is a common task. We get used [14] only provides a SORT function [13, Table 13.7] to the lexicographic order over a long time. More suitable for the English language, the commands for precisely, we get used to our own lexicographic or- accents and other diacritical signs being ignored by der, because it belongs to our cultural background. -
Investigation of English Language Contact-Induced Features in Hungarian Cardiology Discharge Reports and Language Attitudes of Physicians and Patients
University of Szeged, Faculty of Arts PhD School in Linguistics PhD Program in English Applied Linguistics Investigation of English language contact-induced features in Hungarian cardiology discharge reports and language attitudes of physicians and patients Summary of PhD Dissertation Csilla Keresztes Supervisor: Anna Fenyvesi, PhD associate professor Szeged 2010 1. Introduction Since the 1950s English has become not just an important language in the field of medicine, but the predominant language of health sciences. The aim of this study is to describe a field, namely, a subregister of the Hungarian language of medicine, to reveal the English contact-induced features in this specific purpose language, and to investigate the attitude of various discourse communities affected by it towards the English language. The impact of some major European languages, among them the English language, on Hungarian and its lexicon has already been investigated, however, it has been looked at mainly from a puristic aspect so far and little sociolinguistic or contact linguistic research has been done in the field yet. This research is focused on only one field of medicine, cardiology, which was selected for a closer investigation, on the one hand, as it is a technologically sophisticated, professionalized, institutionalized, and highly invasive medical discipline. On the other hand, heart diseases are the leading causes of death in several countries of the world including Hungary. Numerous studies have been published on medical English, but studies on medical Hungarian are limited in number, and very little has been published on the language of cardiology. Hospital discharge reports (or summaries) are written documents prepared when the patient is discharged from a health institution after receiving management. -
Using 'North Wind and the Sun' Texts to Sample Phoneme Inventories
Blowing in the wind: Using ‘North Wind and the Sun’ texts to sample phoneme inventories Louise Baird ARC Centre of Excellence for the Dynamics of Language, The Australian National University [email protected] Nicholas Evans ARC Centre of Excellence for the Dynamics of Language, The Australian National University [email protected] Simon J. Greenhill ARC Centre of Excellence for the Dynamics of Language, The Australian National University & Department of Linguistic and Cultural Evolution, Max Planck Institute for the Science of Human History [email protected] Language documentation faces a persistent and pervasive problem: How much material is enough to represent a language fully? How much text would we need to sample the full phoneme inventory of a language? In the phonetic/phonemic domain, what proportion of the phoneme inventory can we expect to sample in a text of a given length? Answering these questions in a quantifiable way is tricky, but asking them is necessary. The cumulative col- lection of Illustrative Texts published in the Illustration series in this journal over more than four decades (mostly renditions of the ‘North Wind and the Sun’) gives us an ideal dataset for pursuing these questions. Here we investigate a tractable subset of the above questions, namely: What proportion of a language’s phoneme inventory do these texts enable us to recover, in the minimal sense of having at least one allophone of each phoneme? We find that, even with this low bar, only three languages (Modern Greek, Shipibo and the Treger dialect of Breton) attest all phonemes in these texts. -
Iso/Iec Jtc1/Sc2/Wg2 N4120 2011-07-05
ISO/IEC JTC1/SC2/WG2 N4120 2011-07-05 Universal Multiple-Octet Coded Character Set International Organization for Standardization Organisation Internationale de Normalisation Международная организация по стандартизации Doc Type: Working Group Document Title: Response to the Ad-hoc Report N4110 about the Rovas scripts Source: Gábor Hosszú (Hungarian National Body) Status: National Body Contribution Action: For consideration by JTC1/SC2/WG2 Date: 2011-07-05 This document gives the position of the Hungarian Standards Institution (Hungarian National Body) evaluation of the report of the ad-hoc committee on Hungarian met in Helsinki on 2011-06-08. Please send any response regarding to this document to Gábor Hosszú (email: [email protected]). Contents 1. Agreement..........................................................................................................................................................1 2. Disagreement .....................................................................................................................................................2 2.1. Naming of the script: barrier to the encoding.................................................................................................................. 2 2.2. Refused, but necessary Szekely-Hungarian Rovas characters......................................................................................... 3 2.3. Names of the characters ................................................................................................................................................. -
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 ====_===_ ■*. -
Russian Voicing Assimilation, Final Devoicing, and the Problem of [V] (Or, the Mouse That Squeaked)*
Russian voicing assimilation, final devoicing, and the problem of [v] (or, The mouse that squeaked)* Jaye Padgett - University of California, Santa Cruz "...the Standard Russian V...occupies an obviously intermediate position between the obstruents and the sonorants." Jakobson (1978) 1. Introduction Like the mouse that roared, the Russian consonant [v] has a status in phonology out of proportion to its size. Besides leaving a trail of special descriptive comments, this segment has played a key role in discussions about abstractness in phonology, about the manner in which long-distance spreading occurs, and about the the larger organization of phonology. This is largely because of the odd behavior of [v] with respect to final devoicing and voicing assimilation in Russian. Russian obstruents devoice word-finally, as in kniga 'book (nom. sg.) vs. knik (gen. pl.), and assimilate to the voicing of a following obstruent, gorodok 'town (nom. sg.)' vs. gorotka (gen. sg.). The role of [v] in this scenario is puzzling: like an obstruent, it devoices word-finally, krovi 'blood (gen. sg.)' vs. krofj (nom. sg.), and undergoes voicing assimilation, lavok 'bench (gen. pl.)' vs. lafka (nom. sg.). But like a sonorant, it does not trigger voicing assimilation: compare dverj 'door' and tverj 'Tver' (a town). As we will see, [v] behaves unusually in other ways as well. Why is Russian [v] special in this way? The best-known answer to this question posits that [v] is underlyingly /w/ and therefore behaves as a sonorant with respect to voicing assimilation (Lightner 1965, Daniels 1972, Coats and Harshenin 1971, Hayes 1984, Kiparsky 1985). -
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. -
Hungarian Place Name Pronunciation for English-Speakers: the Hungarian Language Is Part of the Uralic Language Family, Which Also Includes Finnish and Estonian
Hungarian Place Name Pronunciation for English-speakers: The Hungarian language is part of the Uralic language family, which also includes Finnish and Estonian. The name Uralic derives from the hypothesized homeland of the languages in the vicinity of the Ural Mountains. More specifically, Hungarian is an Ugric language, with its closest relatives believed to be Khanty and Mansi – two obscure languages each spoken by around 10,000 people in western Siberia. The Hungarian language contains several sounds that don’t exist in English, so this pronunciation guide for map locations is approximate. Organized by Chip Saltsman, Hungarian pronunciation kindly provided by Scott Moore. A QUICK GUIDE TO PRONOUNCING HUNGARIAN There are a few things you need to know before even trying to pronounce any Hungarian words: 1) All Hungarian words are stressed on the first syllable – in the list below, the stressed syllable will be shown in bold. This can be tricky to do if you aren’t used to it. Try it with the words ‘American Express’ in English. Normally these words are both stressed on the second syllable i.e. uh-mair-uh-kuhn ek-spres (US pronunciation) or uh-me-ri-kuhn ik- spres (UK pronunciation). Try to say it like this: Uh-mair-uh-kuhn Ik-spres. Difficult isn’t it? 2) Hungarian is highly phonetic. That means that any given written letter is always pronounced the same way. English is not very phonetic, especially with names. For example, Worcestershire is pronounced: wuh-stuh-shu. 3) The Hungarian alphabet has 40 letters (or 44 in the extended version)! As there aren’t enough symbols in the Latin alphabet, they’ve had to be creative in the use of: a. -
[Paper on the Alignment of Low Postnuclear F0 Valleys in Dutch
ALIGNMENT OF “PHRASE ACCENT” LOWS IN DUTCH FALLING-RISING QUESTIONS: THEORETICAL AND METHODOLOGICAL IMPLICATIONS Robin J. Lickley*, Astrid Schepman** and D. Robert Ladd*** *Queen Margaret University College, Edinburgh **University of Abertay, Dundee *** Edinburgh University, Edinburgh Running Head: Dutch phrase accent lows Acknowledgements The research reported here was funded by the UK Economic and Research Council (ESRC) under grant no. R000-23-7447 to Edinburgh University, Principal Investigator D. R. Ladd. We are grateful to: Ellen Gurman Bard, for useful discussions about how to use the Map Task; Ineke Mennen for her help in devising sentences for the woon je in task; Andrew Ladd, for preparing new drawings for the Dutch maps; Carlos Gussenhoven, for providing access to the Nijmegen phonetics lab and its helpful staff, and for helping us to recruit speakers; Angela Vonk, for transcribing the Map Task corpus; Michael Bennett, Eddie Dubourg, Cedric Macmartin, and Stewart Smith, for much technical assistance in Edinburgh; the audience at the Colloquium of the British Association of Academic Phoneticians in Newcastle in March 2002, who made comments on a preliminary version of this paper; Francis Nolan and Vincent van Heuven, who read the paper as referees for Language and Speech and made many important suggestions for improvement; and above all our speakers, without whom there would have been nothing to study. Address for correspondence: Dr Robin J. Lickley, Speech and Hearing Sciences, Queen Margaret University College, Edinburgh, EH12 8TS, Scotland, UK. Email: [email protected]. 2 Abstract In the first part of this study, we measured the alignment (relative to segmental landmarks) of the low F0 turning points between the accentual fall and the final boundary rise in short Dutch falling-rising questions of the form Do you live in [place name]? produced as read speech in a laboratory setting. -
Master's Project at ICT, KTH Examensarbete Vid ICT, KTH
Master's Project at ICT, KTH Examensarbete vid ICT, KTH Automated source-to-source translation from Java to C++ Automatisk källkodsöversättning från Java till C++ JACEK SIEKA [email protected] Master's Thesis in Software Engineering Examensarbete inom programvaruteknik Supervisor and examiner: Thomas Sjöland Handledare och examinator: Thomas Sjöland Abstract Reuse of Java libraries and interoperability with platform native components has traditionally been limited to the application programming interface offered by the reference implementation of Java, the Java Native Interface. In this thesis the feasibility of another approach, automated source-to-source translation from Java to C++, is examined starting with a survey of the current research. Using the Java Language Specification as guide, translations for the constructs of the Java language are proposed, focusing on and taking advantage of the syntactic and semantic similarities between the two languages. Based on these translations, a tool for automatically translating Java source code to C++ has been developed and is presented in the text. Experimentation shows that a simple application and the core Java libraries it depends on can automatically be translated, producing equal output when built and run. The resulting source code is readable and maintainable, and therefore suitable as a starting point for further development in C++. With the fully automated process described, source-to-source translation becomes a viable alternative when facing a need for functionality already implemented in a Java library or application, saving considerable resources that would otherwise have to be spent rewriting the code manually. Sammanfattning Återanvändning av Java-bibliotek och interoperabilitet med plattformspecifika komponenter har traditionellt varit begränsat till det programmeringsgränssnitt som erbjuds av referensimplementationen av Java, Java Native Interface. -
Alphabets, Letters and Diacritics in European Languages (As They Appear in Geography)
1 Vigleik Leira (Norway): [email protected] Alphabets, Letters and Diacritics in European Languages (as they appear in Geography) To the best of my knowledge English seems to be the only language which makes use of a "clean" Latin alphabet, i.d. there is no use of diacritics or special letters of any kind. All the other languages based on Latin letters employ, to a larger or lesser degree, some diacritics and/or some special letters. The survey below is purely literal. It has nothing to say on the pronunciation of the different letters. Information on the phonetic/phonemic values of the graphic entities must be sought elsewhere, in language specific descriptions. The 26 letters a, b, c, d, e, f, g, h, i, j, k, l, m, n, o, p, q, r, s, t, u, v, w, x, y, z may be considered the standard European alphabet. In this article the word diacritic is used with this meaning: any sign placed above, through or below a standard letter (among the 26 given above); disregarding the cases where the resulting letter (e.g. å in Norwegian) is considered an ordinary letter in the alphabet of the language where it is used. Albanian The alphabet (36 letters): a, b, c, ç, d, dh, e, ë, f, g, gj, h, i, j, k, l, ll, m, n, nj, o, p, q, r, rr, s, sh, t, th, u, v, x, xh, y, z, zh. Missing standard letter: w. Letters with diacritics: ç, ë. Sequences treated as one letter: dh, gj, ll, rr, sh, th, xh, zh.