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Improving Word Alignment Using Alignment of Deep Structures

The result's identifiers

  • Result code in IS VaVaI

    <a href="https://www.isvavai.cz/riv?ss=detail&h=RIV%2F00216208%3A11320%2F09%3A00206909" target="_blank" >RIV/00216208:11320/09:00206909 - isvavai.cz</a>

  • Result on the web

  • DOI - Digital Object Identifier

Alternative languages

  • Result language

    angličtina

  • Original language name

    Improving Word Alignment Using Alignment of Deep Structures

  • Original language description

    In this paper, we describe differences between a classical word alignment on the surface (word-layer alignment) and an alignment of deep syntactic sentence representations (tectogrammatical alignment). The deep structures we use are dependency trees containing content (autosemantic) words as their nodes. Most of other functional words, such as prepositions, articles, and auxiliary verbs are hidden. We introduce an algorithm which aligns such trees using perceptron-based scoring function. For evaluationpurposes, a set of parallel sentences was manually aligned. We show that using statistical word alignment (GIZA ) can improve the tectogrammatical alignment. Surprisingly, we also show that the tectogrammatical alignment can be then used to significantlyimprove the original word alignment.

  • Czech name

  • Czech description

Classification

  • Type

    D - Article in proceedings

  • CEP classification

    AI - Linguistics

  • OECD FORD branch

Result continuities

  • Project

    <a href="/en/project/1ET101120503" target="_blank" >1ET101120503: Integration of language resources for information extraction from natural texts</a><br>

  • Continuities

    P - Projekt vyzkumu a vyvoje financovany z verejnych zdroju (s odkazem do CEP)

Others

  • Publication year

    2009

  • Confidentiality

    S - Úplné a pravdivé údaje o projektu nepodléhají ochraně podle zvláštních právních předpisů

Data specific for result type

  • Article name in the collection

    Proceedings of the 12th International Conference, TSD 2009

  • ISBN

  • ISSN

    0302-9743

  • e-ISSN

  • Number of pages

    8

  • Pages from-to

  • Publisher name

    Springer Verlag

  • Place of publication

    Berlin / Heidelberg

  • Event location

    Berlin / Heidelberg

  • Event date

    Jan 1, 2009

  • Type of event by nationality

    WRD - Celosvětová akce

  • UT code for WoS article

    000270445700009