Estilector introduces new features!

After many weeks of work, we introduce a new version of Estilector. In this version we have implemented POL and EMaD as subroutines of the text analysis and we offer some statistical information (number of words, paragraphs and characters). Now, in the header of the text, you will see a section with all this information to improve the writing of your text. Also, in Contact section, you will find FAQs of Estilector, based in several messages that we have received through years.

The slides of Francisco Mondaca's talk are available

For those who attended his presentation at the ILCL (or for those who couldn't make it but are still interested) here we publish the slides he used, in this link. We learned a lot and we look forward to continue our collaboration. Thanks, Francisco!

Francisco Mondaca will present a talk on April 8

Francisco Mondaca, from Universität zu Köln, is presenting a talk with the title "Más allá de la Digitalización: el rol del acceso a información lexicográfica en Internet" (Beyond digitalization: the role of lexicographic information access on the Internet). Francisco is a Chilean computational linguist specialized in lexicography and lexical databases. The talk will take place on Monday April 8 at 10:30hs in the Auditorium of the ILCL building of Campus Sausalito, Av. El Bosque 1290, Viña del Mar.

We have been granted two national projects (Fondecyt Regular 2019)

We are very proud to announce that we have been awarded two of the most competitive research grants of the National Government: the Fondecyt Regular 2019. One of the projects is lead by Dr. Irene Renau, entitled "Polisemia regular de los sustantivos del español: análisis semiautomático de corpus, caracterización y tipología" (Regular polysemy of nouns in Spanish: semiautomatic analysis of corpus, characterization and tipology), and the other is directed by Dr. Rogelio Nazar, with the title "Inducción automática de taxonomías de marcadores discursivos a partir de corpus multilingües" (Automatic induction of taxonomies of discourse markers from multilingual corpora). The grants cover three years of research from now and they will provide much needed help to continue with the work done at this research group. We will be providing more details about both projects as they develop. For more information on the results visit: https://www.conicyt.cl/fondecyt/2018/07/26/concurso-regular-fondecyt-2019/#tab-05 (in Spanish only).

We have implemented different types of applications and most of them can be tested online. Take a look.

+ Bifid: a parallel corpus aligner

+ Dsele: a model dictionary for ELE learners

+ EMaD: automatic categorization of discouse markers

+ Estilector: a tool for assisted writing

+ GeNom: a program to detect the gender of proper nouns

+ Jaguar: a tool for statistic corpus analysis

+ Kind: a taxonomy induction algorithm

+ Kwico: a concordancer for big corpora

+ Neven: a program to detect eventive nouns

+ Termout: a terminology extraction system

+ POL: named entity recognition and classification

+ Poppins: a supervised text classifier

+ Porcus: an interface for various taggers and parsers for Spanish

+ Sapo: a program to detect similarities between documents

+ Sicam: a Perl implementation of Ricardo Martínez' Excel routine to separate a Spanish Word in syllables (new!)

+ Verbario: corpus pattern analysis in Spanish

Upcoming Events

November 7 and 8, 2019: Wopatec 2019 is on! It will take place in Valparaíso. The deadline for sending an abstract is March 4, 2019

November 13-15, 2019: Rogelio Nazar will offer a course with the title Introducción a la Lingüística computacional (Introduction to Computational Linguistics) at JELING 2019 (II Jornadas Nacionales y I Internacionales de Estudios Lingüísticos). Facultad de Filosofía y Letras, Universidad Nacional de Cuyo, Mendoza, Argentina.

Latest ideas & research projects

We are developing new projects in computational linguistics and natural language processing:

+ Fondecyt Regular (2019-2021): "Polisemia regular de los sustantivos del español: análisis semiautomático de corpus, caracterización y tipología" (Regular polysemy of nouns in Spanish: semiautomatic analysis of corpus, characterization and tipology). Lead researcher: Irene Renau. Ref.: 1191204.

+ Fondecyt Regular (2019-2021): "Inducción automática de taxonomías de marcadores discursivos a partir de corpus multilingües" (Automatic induction of taxonomies of discourse markers from multilingual corpora). Lead researcher: Rogelio Nazar. Ref.: 1191481.

+ Ecos-Sud (International Project between Chile and France): "Inducción automática de taxonomías del español y el francés mediante técnicas cuantitativas y estadística de corpus". Lead researcher: Irene Renau. Ref.: C16H02.

+ Fondecyt Regular: "Desarrollo de la competencia terminológica a lo largo de la inserción disciplinar". Lead Researcher: Sabela Fernández. Co-researcher: Rogelio Nazar. Ref.: 11121597.

+ See more.

Recent publications

+ Irene Renau; Rogelio Nazar; Valesca Lecaros. (Forthcoming). "La evolución de las marcas ortográficas y tipográficas en los procesos de lexicalización de neologismos: un estudio en el vocabulario de la crisis económica en prensa española". Revista Española de Lingüística Aplicada/Spanish Journal of Applied Linguistics.

+ Robledo, H.; Nazar, R. (2018). "Clasificación automatizada de marcadores discursivos", Procesamiento del Lenguaje Natural, n. 61, pp 109-116.

+ Nazar, R. (Forthcoming). "El análisis cuantitativo de la coocurrencia léxica en la lexicografía especializada". Actas del VIII Congreso Internacional de Lexicografía Hispánica. Valencia, España: 27-29 Junio 2018.

+ Nazar, R. (2009 [2018]). Invitación al estudio estadístico del lenguaje. ArXiv:1804.07349 [stat.AP] (PDF)

+ See more.

Solutions for text processing

It is critical for organizations to have the ability to process information automatically, and very often that information is contained in documents to be read by humans rather than machines. We have different methods for text processing depending on the goal.

We can be helpful teaching people how to automatize their text processing routines. We can batch-process thousands of documents to extract information from them or to derive different types of statistics. We can also change these document, or generate databases or email correspondence based on information extracted from them. Anything that involves intelligent management of information can benefit from different degrees of automatization, and by doing that we can free time, effort and resources.