Natural Language Engineering
Special Issue on Parallel Texts

Guest editors: Rada Mihalcea and Michel Simard


Papers Accepted for Publication

  • "Automatic Bilingual Lexicon Acquisition Using Random Indexing of Parallel Corpora"
    Magnus Sahlgren and Jussi Karlgren

  • "Constrained EM for Parallel Text Alignment"
    David Talbot

  • "Bootstrapping Parsers via Syntactic Projection across Parallel Texts"
    Rebecca Hwa, Philip Resnik, Amy Weinberg

  • "Exploiting parallel texts in the creation of multilingual semantically annotated resources: the MultiSemCor Corpus"
    Luisa Bentivogli, Emmanuele Pianta

  • "Optimisation of Word Alignment Clues"
    Joerg Tiedemann

  • "Robust Large-Scale EBMT with Marker-Based Segmentation"
    Andy Way, Nano Gough



Call for Papers

Recent events have demonstrated once again the importance of inter-language communication, and reinforce the need for advances in machine translation (MT) and multi-lingual processing tools.

Parallel texts are vital resources for machine learning approaches to machine translation, and for efficiently deriving multi-lingual text processing tools. This special issue is devoted to advances in building and using parallel corpora. We invite papers on all topics related to parallel texts, including but not limited to:

  • The collection, organization and processing of parallel corpora:
    • identifying and harvesting parallel texts from the Web and other large collections
    • evaluating the quality of parallel corpora (e.g. detecting omissions and gaps, translation errors or inconsistencies, etc.)
    • sentence-, phrase- and word-level alignment
    • alignment evaluation metrics and methods
  • Active uses of parallel corpora for:
    • building multilingual lexical resources
    • deriving language processing tools and resources for new languages
    • annotating corpora (e.g. word-sense disambiguation)
    • machine translation (e.g. statistical and example-based MT)
    • machine-assisted translation (e.g. translation memories and interactive MT)
    • cross-linguistic information retrieval and information extraction

While we invite submissions addressing any of the above topics, or related issues, we particularly welcome work involving parallel corpora addressing languages with scarce resources.




Program Committee

Lars Ahrenberg, Linkoping University
Susan Armstrong, ISSCO
Michael Barlow, Rice University
William Byrne, Johns Hopkins University
Chris Callison-Burch, University of Edimburgh
Francisco Casacuberta, Universitat Politècnica de València
Violetta Cavalli-Sforza, Carnegie Mellon University
Jiangping Chen, University of North Texas
Ken Church, Microsoft Research
Silviu Cucerzan, Microsoft Research
Ido Dagan, Bar-Ilan University
Jason Eisner, Johns Hopkins University
George Foster, National Research Council of Canada
Pascale Fung, University of Science and Technology, Hong Kong
Eric Gaussier, Xerox Research Centre Europe
Ulrich Germann, University of Toronto
Daniel Gildea, University of Rochester
John Goldsmith, University of Chicago
Julio Gonzalo, UNED
Cyril Goutte, Xerox Research Centre Europe
Gregory Grefenstette, Clairvoyance Corporation
Eduard Hovy, University of Southern California / Information Sciences Institute
Pierre Isabelle, Xerox Research Centre Europe
Hitoshi Iida, Tokyo University of Technology
Philipp Koehn, Massachusetts Institute of Technology
Wessel Kraaij, TNO/TPD Netherlands
Shankar Kumar, Johns Hopkins University
Philippe Langlais, University of Montreal
Alon Lavie, Carnegie Mellon University
Elizabeth Liddy, Syracuse University
Elliot Macklovitch, University of Montreal
Robert Moore, Microsoft Research
Dan Melamed, New York University
Ruslan Mitkov, University of Wolverhampton
Hermann Ney, RWTH Aachen
Hwee Tou Ng, National University of Singapore
Jian-Yun Nie, University of Montreal
Franz Och, Google
Kemal Oflazer, Sabanci University
Martha Palmer, University of Pennsylvania
Kishore Papineni, IBM
Ted Pedersen, University of Minnesota, Duluth
Jessie Pinkham, University of Chicago
Andrei Popescu-Belis, ISSCO/TIM/ETI University of Geneva
Dragomir Radev, University of Michigan
Florence Reeder, MITRE
Philip Resnik, University of Maryland
Antonio Ribeiro, European Commission Joint Research Centre
Charles Schafer, Johns Hopkins University
Harold Somers, University of Manchester Institute of Science and Technology
Hideki Tanaka, ATR Spoken Language Translation Research Laboratories
Arturo Trujillo, Canon Research Centre Europe
Jean Veronis, University of Provence
Clare Voss, Army Research Lab
Andy Way, Dublin City University
Yorick Wilks, University of Sheffield
Dekai Wu, University of Science and Technology, Hong Kong
Kenji Yamada, Xerox Research Centre Europe



Important Dates

Paper submissions: May 1, 2004
Notification of acceptance: September 15, 2004
Final versions due: November 30, 2004
Journal publication: June, 2005



Submission Instructions

We are expecting full papers to describe original, previously unpublished research, addressing issues related to the construction and use of parallel texts. All papers will be subject to triple reviewing.

Papers should be formatted according to the NLE journal instructions, and should not exceed 15 pages. The preferred formatting system is LaTeX, which can be used for direct typesetting, and a style file is available through anonymous ftp from the following address: ftp.cup.cam.ac.uk/pub/texarchive/journals/latex/nle-sty/. In case of difficulty there is a helpline available on e-mail: texline@cup.cam.ac.uk.

Send your submission (a PostScript or PDF file), prepared for anonymous review, to both: Rada Mihalcea, University of North Texas, rada@cs.unt.edu and Michel Simard, Xerox Research Centre Europe, Michel.Simard@xrce.xerox.com



About NLE

Natural Language Engineering is an international journal designed to meet the needs of professionals and researchers working in all areas of computerized language processing, whether from the perspective of theoretical or descriptive linguistics, lexicology, computer science or engineering. Its principal aim is to bridge the gap between traditional computational linguistics research and the implementation of practical applications with potential real-world use. As well as publishing research articles on a broad range of topics from text analysis, machine translation and speech generation and synthesis to integrated systems and multi modal interfaces the journal also publishes book reviews. Its aim is to provide the essential link between industry and the academic community.

Natural Language Engineering encourages papers reporting research with a clear potential for practical application. Theoretical papers that consider techniques in sufficient detail to provide for practical implementation are also welcomed, as are shorter reports of on-going research, conference reports, comparative discussions of NLE products, and policy-oriented papers examining e.g. funding programs or market opportunities. All contributions are peer reviewed.

Edited by John I. Tait
University of Sunderland, UK

Branimir K. Boguraev
IBM Thomas J. Watson Research Center, New York, USA

Christian Jacquemin
CNRS-LIMSI, France