Xabier Artola

Also published as: X Artola, X. Artola


2016

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Interoperability of Annotation Schemes: Using the Pepper Framework to Display AWA Documents in the ANNIS Interface
Talvany Carlotto | Zuhaitz Beloki | Xabier Artola | Aitor Soroa
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

Natural language processing applications are frequently integrated to solve complex linguistic problems, but the lack of interoperability between these tools tends to be one of the main issues found in that process. That is often caused by the different linguistic formats used across the applications, which leads to attempts to both establish standard formats to represent linguistic information and to create conversion tools to facilitate this integration. Pepper is an example of the latter, as a framework that helps the conversion between different linguistic annotation formats. In this paper, we describe the use of Pepper to convert a corpus linguistically annotated by the annotation scheme AWA into the relANNIS format, with the ultimate goal of interacting with AWA documents through the ANNIS interface. The experiment converted 40 megabytes of AWA documents, allowed their use on the ANNIS interface, and involved making architectural decisions during the mapping from AWA into relANNIS using Pepper. The main issues faced during this process were due to technical issues mainly caused by the integration of the different systems and projects, namely AWA, Pepper and ANNIS.

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Two Architectures for Parallel Processing of Huge Amounts of Text
Mathijs Kattenberg | Zuhaitz Beloki | Aitor Soroa | Xabier Artola | Antske Fokkens | Paul Huygen | Kees Verstoep
Proceedings of the Tenth International Conference on Language Resources and Evaluation (LREC'16)

This paper presents two alternative NLP architectures to analyze massive amounts of documents, using parallel processing. The two architectures focus on different processing scenarios, namely batch-processing and streaming processing. The batch-processing scenario aims at optimizing the overall throughput of the system, i.e., minimizing the overall time spent on processing all documents. The streaming architecture aims to minimize the time to process real-time incoming documents and is therefore especially suitable for live feeds. The paper presents experiments with both architectures, and reports the overall gain when they are used for batch as well as for streaming processing. All the software described in the paper is publicly available under free licenses.

2014

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A stream computing approach towards scalable NLP
Xabier Artola | Zuhaitz Beloki | Aitor Soroa
Proceedings of the Ninth International Conference on Language Resources and Evaluation (LREC'14)

Computational power needs have grown dramatically in recent years. This is also the case in many language processing tasks, due to overwhelming quantities of textual information that must be processed in a reasonable time frame. This scenario has led to a paradigm shift in the computing architectures and large-scale data processing strategies used in the NLP field. In this paper we describe a series of experiments carried out in the context of the NewsReader project with the goal of analyzing the scaling capabilities of the language processing pipeline used in it. We explore the use of Storm in a new approach for scalable distributed language processing across multiple machines and evaluate its effectiveness and efficiency when processing documents on a medium and large scale. The experiments have shown that there is a big room for improvement regarding language processing performance when adopting parallel architectures, and that we might expect even better results with the use of large clusters with many processing nodes.

2008

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Strategies for sustainable MT for Basque: incremental design, reusability, standardization and open-source
I. Alegria | X. Arregi | X. Artola | A. Diaz de Ilarraza | G. Labaka | M. Lersundi | A. Mayor | K. Sarasola
Proceedings of the IJCNLP-08 Workshop on NLP for Less Privileged Languages

2006

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Structure, Annotation and Tools in the Basque ZT Corpus
N. Areta | A. Gurrutxaga | I. Leturia | Z. Polin | R. Saiz | I. Alegria | X. Artola | A. Diaz de Ilarraza | N. Ezeiza | A. Sologaistoa | A. Soroa | A. Valverde
Proceedings of the Fifth International Conference on Language Resources and Evaluation (LREC’06)

The ZT corpus (Basque Corpus of Science and Technology) is a tagged collection of specialized texts in Basque, which wants to be a main resource in research and development about written technical Basque: terminology, syntax and style. It will be the first written corpus in Basque which will be distributed by ELDA (at the end of 2006) and it wants to be a methodological and functional reference for new projects in the future (i.e. a national corpus for Basque). We also present the technology and the tools to build this Corpus. These tools, Corpusgile and Eulia, provide a flexible and extensible infrastructure for creating, visualizing and managing corpora and for consulting, visualizing and modifying annotations generated by linguistic tools.

2004

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Representation and Treatment of Multiword Expressions in Basque
Iñaki Alegria | Olatz Ansa | Xabier Artola | Nerea Ezeiza | Koldo Gojenola | Ruben Urizar
Proceedings of the Workshop on Multiword Expressions: Integrating Processing

2002

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A Class Library for the Integration of NLP Tools: Definition and implementation of an Abstract Data Type Collection for the manipulation of SGML documents in a context of stand-off linguistic annotation
X. Artola | A. Díaz de Ilarraza | N. Ezeiza | K. Gojenola | G. Hernández | A. Soroa
Proceedings of the Third International Conference on Language Resources and Evaluation (LREC’02)

2000

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A Word-level Morphosyntactic Analyzer for Basque
I. Aduriz | E. Agirre | I. Aldezabal | X. Arregi | J. M. Arriola | X. Artola | K. Gojenola | A. Maritxalar | K. Sarasola | M. Urkia
Proceedings of the Second International Conference on Language Resources and Evaluation (LREC’00)

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A Proposal for the Integration of NLP Tools using SGML-Tagged Documents
X. Artola | A. Díaz de Ilarraza | N. Ezeiza | K. Gojenola | A. Maritxalar | A. Soroa
Proceedings of the Second International Conference on Language Resources and Evaluation (LREC’00)

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A word-grammar based morphological analyzer for agglutinative languages
I. Aduriz | E. Agirre | I. Aldezabal | I. Alegria | X. Arregi | J. M. Arriola | X. Artola | K. Gojenola | A. Maritxalar | K. Sarasola | M. Urkia
COLING 2000 Volume 1: The 18th International Conference on Computational Linguistics

1994

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Lexical, Knowledge Representation in an Intelligent Dictionary Help System
E. Agirre | X. Arregi | X. Artola | A. Diaz de Ilarraza | K. Sarasola
COLING 1994 Volume 1: The 15th International Conference on Computational Linguistics

1993

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A Morphological Analysis Based Method for Spelling Correction
I. Aduriz | E. Agirre | I. Alegria | X. Arregi | J.M Arriola | X. Artola | A. Diaz de Ilarraza | N. Ezeiza | M. Maritxalar | K. Sarasola | M. Urkia
Sixth Conference of the European Chapter of the Association for Computational Linguistics

1992

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XUXEN: A Spelling Checker/Corrector for Basque Based on Two-Level Morphology
E. Agirre | I Alegria | X Arregi | X Artola | A Diaz de Ilarraza | M Maritxalar | K Sarasola | M Urkia
Third Conference on Applied Natural Language Processing