Lingua-Align: An Experimental Toolbox for Automatic Tree-to-Tree Alignment

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

Abstract

In this paper we present an experimental toolbox for automatic tree-to-tree alignment based on local classification and alignment inference. The aligner implements a recurrent architecture for structural prediction using history features and a sequential classification procedure. The discriminative base classifier uses a log-linear model which enables simple integration of various features extracted from the data. The Lingua-Align toolbox provides a flexible framework for feature extraction including contextual properties and implements several alignment inference procedures. Various settings and constraints can be controlled via a simple frontend or called from external scripts. Lingua-Align supports different treebank formats and includes additional tools for conversion and evaluation. In our experiments we can show that our tree aligner produces results with high quality and outperforms unsupervised techniques proposed otherwise. It also integrates well with another existing tool for manual tree alignment which makes it possible to quickly integrate additional training material and to run semi-automatic alignment strategies.
Original languageOther/Unknown
Title of host publicationUnknown host publication
EditorsNicoletta Calzolari (Conference Chair), Khalid Choukri, Bente Maegaard, Joseph Mariani, Jan Odijk, Stelios Piperidis, Mike Rosner, Daniel Tapias
Publication date1 May 2010
Publication statusPublished - 1 May 2010
MoE publication typeA4 Article in conference proceedings
EventUnknown host publication - , International
Duration: 1 Jan 1800 → …

Cite this

Tiedemann, J. (2010). Lingua-Align: An Experimental Toolbox for Automatic Tree-to-Tree Alignment. In N. C. C. Chair), K. Choukri, B. Maegaard, J. Mariani, J. Odijk, S. Piperidis, M. Rosner, ... D. Tapias (Eds.), Unknown host publication
Tiedemann, Jörg. / Lingua-Align: An Experimental Toolbox for Automatic Tree-to-Tree Alignment. Unknown host publication. editor / Nicoletta Calzolari (Conference Chair) ; Khalid Choukri ; Bente Maegaard ; Joseph Mariani ; Jan Odijk ; Stelios Piperidis ; Mike Rosner ; Daniel Tapias. 2010.
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title = "Lingua-Align: An Experimental Toolbox for Automatic Tree-to-Tree Alignment",
abstract = "In this paper we present an experimental toolbox for automatic tree-to-tree alignment based on local classification and alignment inference. The aligner implements a recurrent architecture for structural prediction using history features and a sequential classification procedure. The discriminative base classifier uses a log-linear model which enables simple integration of various features extracted from the data. The Lingua-Align toolbox provides a flexible framework for feature extraction including contextual properties and implements several alignment inference procedures. Various settings and constraints can be controlled via a simple frontend or called from external scripts. Lingua-Align supports different treebank formats and includes additional tools for conversion and evaluation. In our experiments we can show that our tree aligner produces results with high quality and outperforms unsupervised techniques proposed otherwise. It also integrates well with another existing tool for manual tree alignment which makes it possible to quickly integrate additional training material and to run semi-automatic alignment strategies.",
author = "J{\"o}rg Tiedemann",
note = "Volume: Proceeding volume:",
year = "2010",
month = "5",
day = "1",
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editor = "Chair), {Nicoletta Calzolari (Conference} and Khalid Choukri and Bente Maegaard and Joseph Mariani and Jan Odijk and Stelios Piperidis and Mike Rosner and Daniel Tapias",
booktitle = "Unknown host publication",

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Tiedemann, J 2010, Lingua-Align: An Experimental Toolbox for Automatic Tree-to-Tree Alignment. in NCC Chair), K Choukri, B Maegaard, J Mariani, J Odijk, S Piperidis, M Rosner & D Tapias (eds), Unknown host publication. Unknown host publication, International, 01/01/1800.

Lingua-Align: An Experimental Toolbox for Automatic Tree-to-Tree Alignment. / Tiedemann, Jörg.

Unknown host publication. ed. / Nicoletta Calzolari (Conference Chair); Khalid Choukri; Bente Maegaard; Joseph Mariani; Jan Odijk; Stelios Piperidis; Mike Rosner; Daniel Tapias. 2010.

Research output: Chapter in Book/Report/Conference proceedingConference contributionScientificpeer-review

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T1 - Lingua-Align: An Experimental Toolbox for Automatic Tree-to-Tree Alignment

AU - Tiedemann, Jörg

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PY - 2010/5/1

Y1 - 2010/5/1

N2 - In this paper we present an experimental toolbox for automatic tree-to-tree alignment based on local classification and alignment inference. The aligner implements a recurrent architecture for structural prediction using history features and a sequential classification procedure. The discriminative base classifier uses a log-linear model which enables simple integration of various features extracted from the data. The Lingua-Align toolbox provides a flexible framework for feature extraction including contextual properties and implements several alignment inference procedures. Various settings and constraints can be controlled via a simple frontend or called from external scripts. Lingua-Align supports different treebank formats and includes additional tools for conversion and evaluation. In our experiments we can show that our tree aligner produces results with high quality and outperforms unsupervised techniques proposed otherwise. It also integrates well with another existing tool for manual tree alignment which makes it possible to quickly integrate additional training material and to run semi-automatic alignment strategies.

AB - In this paper we present an experimental toolbox for automatic tree-to-tree alignment based on local classification and alignment inference. The aligner implements a recurrent architecture for structural prediction using history features and a sequential classification procedure. The discriminative base classifier uses a log-linear model which enables simple integration of various features extracted from the data. The Lingua-Align toolbox provides a flexible framework for feature extraction including contextual properties and implements several alignment inference procedures. Various settings and constraints can be controlled via a simple frontend or called from external scripts. Lingua-Align supports different treebank formats and includes additional tools for conversion and evaluation. In our experiments we can show that our tree aligner produces results with high quality and outperforms unsupervised techniques proposed otherwise. It also integrates well with another existing tool for manual tree alignment which makes it possible to quickly integrate additional training material and to run semi-automatic alignment strategies.

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BT - Unknown host publication

A2 - Chair), Nicoletta Calzolari (Conference

A2 - Choukri, Khalid

A2 - Maegaard, Bente

A2 - Mariani, Joseph

A2 - Odijk, Jan

A2 - Piperidis, Stelios

A2 - Rosner, Mike

A2 - Tapias, Daniel

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Tiedemann J. Lingua-Align: An Experimental Toolbox for Automatic Tree-to-Tree Alignment. In Chair) NCC, Choukri K, Maegaard B, Mariani J, Odijk J, Piperidis S, Rosner M, Tapias D, editors, Unknown host publication. 2010