Monasearch Querying Linguistic Treebanks with Monadic Second Order Logic Hendrik Maryns and Stephan Kepser Collaborative Research Centre 441 niversity of Tubingen Germany hendrik kepser sfs uni tuebingen de Abstract MonaSearch is a new powerful query tool for linguistic treebanks The query language of MonaSearch is monadic second order logic an extension of first order logic capable of expressing probably all linguis tically interesting queries In order to p
Using Praat for Linguistic Research Will Styler University of Colorado at Boulder Phonetics Lab Document Version 1 4 5 Last Update March 6 2014 Important This document will be continually updated and improved Download the latest version at http savethevowels org praat Using Praat for Linguistic Research by Will Styler is licensed under a Creative Commons Attribution ShareAlike 3 0 Unported License For more information on the specifics of this lice
29 MonaSearch A Tool for Querying Linguistic Treebanks Hendrik Maryns and Stephan Kepser Collaborative Research Centre 441 University of T bingen Germany hendrik kepser sfs uni tuebingen de Abstract MonaSearch is a new powerful query tool for linguistic treebanks The query language of MonaSearch is monadic second order logic an extension of first order logic capable of expressing probably all linguistically interest ing queries In order to process queries
books amp AS net Translation and the Meaning of Linguistic Diversity An Interview with David Bellos Thomas GRILLOT A translator of twentieth century writers into English David Bellos has recently devoted an entire volume to his trade Is That A Fish in Your Ear Where does linguistic diversity come from Can we trust automatic translating machines Is English a hegemonic language David Bellos offers insights afforded by his familiarity with the extraordinarily
Data Intensive Linguistics Chris Brew and Marc Moens HCRC Language Technology Group The University of Edinburgh April 22 2004 il Contents I What is Data Intensive Linguistics 1 1 Introduction 3 1 1 Aims of the book o o e e 3 1 2 Recommended reading e 3 1 3 Prerequisites 2 asia da a a dd SS 4 LA ChaptelS isa a aa 4 1 5 The heart of our approach 2 5 1 6 A first language model o
Localization and Linguistics Anthony Pym Intercultural Studies Group Universitat Rovira i Virgili Tarragona Spain ap fll urv es Abstract Discourse on the localization of software and websites now underlies one of the major language industries of our time Its basic concepts also address issues that are of interest to sociolinguistics text linguistics translation theory and terminology A survey of the main areas in which localization discourse might interact with linguis
Katholieke Universiteit Leuven FACULTEIT LETTEREN Subfaculteit Taalkunde La polys mie du vocabulaire technique Une tude quantitative Proefschrift ingediend tot het behalen van de graad van Doctor in de Taal en Letterkunde Romaanse Talen Ann Bertels Promotoren Prof dr B atrice Lamiroy Prof dr Dirk Geeraerts LEUVEN 2006 Dankwoord Dit proefschrift is het resultaat van vele jaren van studie en wetenschappelijk onderzoek Heel wat mensen hebben ertoe
User Guide for ELAN Linguistic Annotator version 4 1 0 This user guide was last updated on 2013 10 07 The latest version can be downloaded from http tla mpi nl tools tla tools elan Author Maddalena Tacchetti The Language Archive MPI for Psycholinguistics Nijmegen The Netherlands User Guide for ELAN Linguistic Annotator version 4 1 0 version 4 1 0 This user guide was last updated on 2013 10 07 The latest version can be downloaded from http tla mpi nl
Using MONA for Querying Linguistic Treebanks Stephan Kepser Collaborative Research Centre 441 University of Tiibingen Tiibingen Germany kepser sfs uni tuebingen de Abstract MONA is an automata toolkit provid ing a compiler for compiling formulae of monadic second order logic on strings or trees into string automata or tree automata In this paper we evaluate the option of using MONA as a treebank query tool Unfortunately we find that MONA is not an option There ar
i Fondamen TA L O 5 21 Traitement Automatique des Langues Naturelles Marseille 2014 MusiTAL une partition six mains pour le TAL Marie Dozol Paul Sabatier Marie H l ne St fanini 1 A rop le D20H route de l a roport 13288 Marseille Cedex 9 2 LIF AMU CNRS 163 avenue de Luminy 13288 Marseille Cedex 9 mdozol webmail alten fr paul sabatier lif univ mrs fr marie helene stefanini lif univ mrs fr R sum Nous pr sentons MusiT AL une app
Ling 3798 Introduction to Computational Linguistics http homepages uconn edu stk 12004 Classes UConn 3798 Home Course Info Schedule References FAQ Misc HuskyCT Ling 3798 Introduction to Computational Linguistics Fall 2013 Oak Hall 308 MWF 9 05 9 55 AM Instructor Stefan Kaufmann Email stefan kaufmann uconn edu Office Oak Hall Rm 364 Phone 860 486 8123 Office Hours Wed 10 30 12 00 and by appointment Last updated October 07 2013 1 of
Aligning text to audio and video using ELAN Institute on Field Linguistics and Language Documentation Workshop June 22 July 2 2010 University of Oregon Andrea Berez aberez umail ucsb edu Christopher Cox christopher cox Qvualberta ca Aligning text to audio and video using ELAN June 22 July 2 2010 A Berez C Cox Workshop information 1 Workshop description This workshop is intended to provide a basic hands on introduction to developing multime
Contents 1 CORPUSSEARCH USER S MANUAL 1 1 1 Getting Started 2 en s 1 1 1 1 input to CorpusSearch X ss 1 1 1 2 output of CorpusSearch 22s 2 1 1 3 running CorpusSearch on babel 2 eA 3 1 2 The Rocche Sentence 2 2 e vv n nu 5 1 3 CorpusSearch General Principles 2 0 0 0 2 nu 6 1 3 1 labels and text 2 2 0 002000 00 0000000000000 000000 6 1 3 2 fuzzy tree structure 2 n nn un 6 1 3 3 wildcards 2 2 In vv vu 6 1 3 4 character wild card
Using Praat for Linguistic Research Dr Will Styler Document Version 1 6 1 Last Update October 29 2015 Important This document will be continually updated and improved Download the latest version at http savethevowels org praat Using Praat for Linguistic Research by Will Styler is licensed under a Creative Commons Attribution ShareAlike 3 0 Unported License For more information on the specifics of this license go to http creativecommons org licenses
Using XTrans for Broadcast Transcription A User Manual Version 3 0 Linguistic Data Consortium October 11 2007 Developer Haejoong Lee lt haejoong ldc upenn edu gt Manager Stephanie Strassel sstrassel ldc upenn edu http www idc upenn edu Projects Transcription 1 WEF O CU CTHONY oe se Ee ee A E ee ee 3 2 oo VERWERK ee eee tree Ee AG WEE el eie 3 2 Getting Slane dopriate AE E AE EAE EA EOE A e 6 al Open Audio File oos ie ae Pe es ee N Te oe Ee 6 3 2 Open Tr
ENLASO ENLASO Best Practices White Paper The Importance of Linguistic Discretion in the Age of Facebook A White Paper by John Watkins President and Chief Operations Officer ENLASO Corporation October 2011 Copyright 2011 ENLASO Corporation All Rights Reserved ENLASO is a trademark of ENLASO Corporation ISO 9001 FS 40617 Linguistic Discretion in the Age of Facebook This Page Intentionally Left Blank Linguistic Discretion in the Age of Facebook Table of Con
Prefazione Parlare oscuramente lo sa fare ognuno ma chiaro pochissimi Galileo Galilei Negli anni pi recenti abbiamo assistito a profondi cambiamenti del modo in cui le pubbliche amministrazioni si rapportano ai cittadini Ancora non molto tempo fa era diffusa all interno delle strutture pubbliche la convinzione che le complicazioni fossero inevitabili in quanto solo il rispetto non importa a quale prezzo per il cittadino di una procedura particolarmente comples
Logic Programming for Linguistics A short introduction to Prolog and Logic Grammars with Constraints as an easy way to Syntax and Semantics Henning Christiansen professor of Computer Science CBIT Institute Roskilde University Denmark http www ruc dk henning henning ruc dk by the author 2010 Abstract This article gives a short introduction to get started with logic programming in Prolog that do not require any previous programming experience The presentation i
Linguistico fifico e Ceccano In dulcedine societatis quaerere veritatem Liceo Scien z Wii PERHE E SEE EAA SENSE ENSS H i Hi H i Hi ANN UH ANEN RESI FERRER EEE BERETES ea aaAA aA AAA SESSI FERRARA FERRERRERERERRE aeaea aA r AAA E EEEEEI FERRARI FERFSRRERERERRE Aaea aA AAA REZZA ERRE FRRRERRERERERRE eaea A AAA RESSE EEEE FRRRERRERERERRE amaA aA AAAA D Lgs 81 2008 SESSI FERRARI FERFSRRERERERRE eaaa aA A
Linguistic Fuzzy Logic Forecaster Software documentation user s manual LFL Forecaster is a specialized software tool for an analysis and forecasting time series developed by the Institute for Research and Applications of Fuzzy Modeling IRAFM University of Ostrava Czech Republic It is based on two methods originally developed by members of IRAFM The first method is the fuzzy transform and the second one is the perception based logical deduction 1 The software Figure