Bergenholtz, Henning (University of Aarhus, Denmark):
A corpus analysis is a superfluous ceremony and a complete waste of your time and the government’s money.
This presentation is an interesting review of attitudes towards corpus-based analyses of language.
TIA 2015: FIRST CALL FOR PAPERS
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Terminology and Artificial Intelligence 2015
4 November – 6 November 2015
University of Granada, Spain
http://lexicon.ugr.es/tia2015/Home.html
Terminology and Artificial Intelligence (TIA) 2015 will highlight the close connection between multilingual terminology, ontologies, and the representation of specialized knowledge. Knowledge, as regarded in Terminology, is something more complex than a simple hierarchy or a thesaurus-like structure. In this sense, ontologies, understood as a shared conceptualization of a domain that can be communicated between people and/or systems, are better suited for accounting for multilinguality and contextual constraints. The link between Terminology and knowledge representation has been widely acknowledged with the advent of multilingual ontologies.
This is particularly relevant since today’s networked society has generated an increasing number of contexts where multilingualism challenges current knowledge representation methods and techniques. To meet these challenges, it is necessary to deal with semantics since information can be organized, presented, and searched, based on meaning and not just text. Ideally, this would mean that language-independent specialized knowledge could be accessed across different natural languages. There is thus the urgent need for high-quality multilingual knowledge resources that are able to bridge communication barriers, and which can be linked and shared.
Such issues can only be successfully addressed with creative collaborative solutions within disciplines, such as knowledge engineering, terminology, ontology engineering, cognitive sciences, corpus lexicology, and computational linguistics. Accordingly, the TIA 2015 Conference will provide a forum for interdisciplinary research that focuses on the intersection of different disciplines dealing with terminology, multilingualism, lexicology, ontology, and knowledge representation. Papers may address both theoretical questions and methodological aspects on these issues, as well as interdisciplinary approaches developed to facilitate convergence and co-operation in terminological aspects of importance to an increasingly multilingual society.
TIA 2015 solicits both regular papers (8 pages), which present significant work, and short papers (4 pages), which typically present work in progress or a smaller, focused contribution. Regardless of the language of the paper( English, Spanish, or French), all paper presentations will be in English. The submission deadline is June 15. See the conference webpage for more specific submission details.
TOPICS
1. Terminology and ontology acquisition and management
· Applying pattern recognition to enriching terminological resource
· Lexicons, thesauri and ontologies as semantic resources
· Lexicons and ontologies as means for knowledge transfer
· Reusing, standardizing and merging terminological or ontological resources
· Multilingual terminology extraction
· Multilinguality and multimodality in terminological resources
· Management of language resources
1. Terminology and knowledge representation
· Ontological semantics and linguistic
· Ontology localization
· Development of multimedia terminological resources
· Terminology alignment in parallel corpora and other lexical resources
· Representation of terms and conceptual relations in knowledge-based applications
· Comparative studies of terminological resources and/or ontological resources
· Terminological resources in the 21st century
· Harmonization of format and standards in terminological resources
1. Terminology and ontologies for applications
· Interoperability and reusability in knowledge-based tools and applications
· Models and metamodels in annotating semantic and terminological resources
· New R&D directions in terminology for industrial uses and needs
· Terminology for machine translation and natural language processing
Featured plenary speakers
Paul Buitelaar, National University of Ireland, Galway, Ireland
Ricardo Miral Usón, Universidad Nacional de Educación a Distancia (UNED), Madrid, Spain
TIA 2015 CHAIRS
Pamela Faber, University of Granada
Thierry Poibeau, CNRS
The PROGRAMME COMMITTEE members are distinguished experts from all over the world.
SUBMISSION INFORMATION
See the TIA 2015 website: http://lexicon.ugr.es/tia2015/Submission.html
IMPORTANT DATES
Paper submissions (long and short papers): 15 June 2015
Notification to authors: 4 September 2015
Final camera-ready paper: 24 September 2015
Conference: 4-6 November 2015
VENUE:
University of Granada,
Faculty of Translation and Interpreting,
18071 Granada, Spain
Contact information: termai2015@gmail.com
Mensaje distribuido a través de la lista de (AESLA)
Dice score gives very good results of collocation candidates. The only problem is that the values of the Dice score are usually very small numbers. We have defined logDice to fix this problem.
Values of the logDice have the following features:
– Theoretical maximum is 14, in case when all occurrences of X co-occur with Y and all occurrences of Y co-occur with X. Usually the value is less then 10.
– Value 0 means there is less than 1 co-occurrence of XY per 16,000 X or 16,000 Y. We can say that negative values means there is no statistical significance of XY collocation.
– Comparing two scores, plus 1 point means twice as often collocation, plus 7 points means roughly 100 times frequent collocation.
– The score does not depend on the total size of a corpus. The score combine relative frequencies of XY in relation to X and Y.
All these characteristics are useful orientation points for any field linguist working with collocation candidate lists.
From: A Lexicographer-Friendly Association Score, by Pavel Rychlý
This is a follow-up to our post Writing tools for researchers.
The basics
Using POS tags
Collocations
BNC & COCA Basic Query Syntax
Authors: Pérez-Paredes, Pascual; Sánchez-Tornel, María; Calero, Jose M. Alcaraz
Source: International Journal of Corpus Linguistics, Volume 17, Number 4, 2012, pp. 482-515(34)
Publisher: John Benjamins Publishing Company
Abstract:
Our research explores the search behaviour of EFL learners (n=24) by tracking their interaction with corpus-based materials during focus-on-form activities (Observe, Search the corpus, Rewriting). One set of learners made no use of web services other than the BNC during the central Search the corpus activity while the other set resorted to other web services and/or consultation guidelines. The performance of the second group was higher, the learners’ formulation of corpus queries on the BNC was unsophisticated and the students tended to use the BNC search interface to a great extent in the same way as they used Google or similar services. Our findings suggest that careful consideration should be given to the cognitive aspects concerning the initiation of corpus searches, the role of computer search interfaces, as well as the implementation of corpus-based language learning. Our study offers a taxonomy of learner searches that may be of interest in future research.
This is a selection of resources for those wishing to improve their scientific and academic writing in English. It showcases some online resources including courses, academic word lists, online data bases, concordancers, corpora as well as some diy tools.
British Council Writing for a purpose
VI Escribir ciencia en inglés / Writing science in English (Universidad de Murcia)
AWL and definitions. Academic Word List Coxhead (2000). Around 570 headwords
AWL 10 sublists and sublist families
Exploring contexts of AWL (dictionary-based) and academic areas (needs a code)
Test your vocabulary range using Lex Tutor
Oxford online collocations dictionary
Collocation forbetterenglish (Sketch Engine SKELL): examples, word sketches and similar words
Word neighbors (different corpora available)
String net (explore patterns)
Collocaid: collocation errors and editor
Using Google N-GRAM to discover word combinations (intake of *)
CRA (Corpus of Research Articles) Great to test your hypothesis (perform an analysis?)
British Academic Written English Corpus (BAWE) Sketch engine gateway
BAWE corpus (Coventry site)
Generate word lists (Input url)
Web as a corpus (n-gram browser)
Google books Ngram Viewer Use it to test phraseological uses All the options here
Exploration tools:
Webcorp (The web is your corpus)
Taporware tools (Alberta)
Antconc (Win, MacOS, lINUX)
Beautifulsoup parser (Python)
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Using COCA (Corpus of Contemporary American English)
For more information on research group and interests, visit our website: Languages for specific purposes, language corpora, and English linguistics applied to knowledge engineering.