@inproceedings{rajman-hartley-2001-automatically,
title = "Automatically predicting {MT} systems rankings compatible with fluency, adequacy and informativeness scores",
author = "Rajman, Martin and
Hartley, Tony",
editor = "Hovy, Eduard and
King, Margaret and
Manzi, Sandra and
Reeder, Florence",
booktitle = "Workshop on MT Evaluation",
month = sep # " 18-22",
year = "2001",
address = "Santiago de Compostela, Spain",
url = "https://aclanthology.org/2001.mtsummit-eval.6",
abstract = "The main goal of the work presented in this paper is to find an inexpensive and automatable way of predicting rankings of MT systems compatible with human evaluations of these systems expressed in the form of Fluency, Adequacy or Informativeness scores. Our approach is to establish whether there is a correlation between rankings derived from such scores and the ones that can be built on the basis of automatically computable attributes of syntactic or semantic nature. We present promising results obtained on the DARPA94 MT evaluation corpus.",
}
<?xml version="1.0" encoding="UTF-8"?>
<modsCollection xmlns="http://www.loc.gov/mods/v3">
<mods ID="rajman-hartley-2001-automatically">
<titleInfo>
<title>Automatically predicting MT systems rankings compatible with fluency, adequacy and informativeness scores</title>
</titleInfo>
<name type="personal">
<namePart type="given">Martin</namePart>
<namePart type="family">Rajman</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Tony</namePart>
<namePart type="family">Hartley</namePart>
<role>
<roleTerm authority="marcrelator" type="text">author</roleTerm>
</role>
</name>
<originInfo>
<dateIssued>2001-sep 18-22</dateIssued>
</originInfo>
<typeOfResource>text</typeOfResource>
<relatedItem type="host">
<titleInfo>
<title>Workshop on MT Evaluation</title>
</titleInfo>
<name type="personal">
<namePart type="given">Eduard</namePart>
<namePart type="family">Hovy</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Margaret</namePart>
<namePart type="family">King</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Sandra</namePart>
<namePart type="family">Manzi</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<name type="personal">
<namePart type="given">Florence</namePart>
<namePart type="family">Reeder</namePart>
<role>
<roleTerm authority="marcrelator" type="text">editor</roleTerm>
</role>
</name>
<originInfo>
<place>
<placeTerm type="text">Santiago de Compostela, Spain</placeTerm>
</place>
</originInfo>
<genre authority="marcgt">conference publication</genre>
</relatedItem>
<abstract>The main goal of the work presented in this paper is to find an inexpensive and automatable way of predicting rankings of MT systems compatible with human evaluations of these systems expressed in the form of Fluency, Adequacy or Informativeness scores. Our approach is to establish whether there is a correlation between rankings derived from such scores and the ones that can be built on the basis of automatically computable attributes of syntactic or semantic nature. We present promising results obtained on the DARPA94 MT evaluation corpus.</abstract>
<identifier type="citekey">rajman-hartley-2001-automatically</identifier>
<location>
<url>https://aclanthology.org/2001.mtsummit-eval.6</url>
</location>
<part>
<date>2001-sep 18-22</date>
</part>
</mods>
</modsCollection>
%0 Conference Proceedings
%T Automatically predicting MT systems rankings compatible with fluency, adequacy and informativeness scores
%A Rajman, Martin
%A Hartley, Tony
%Y Hovy, Eduard
%Y King, Margaret
%Y Manzi, Sandra
%Y Reeder, Florence
%S Workshop on MT Evaluation
%D 2001
%8 sep 18 22
%C Santiago de Compostela, Spain
%F rajman-hartley-2001-automatically
%X The main goal of the work presented in this paper is to find an inexpensive and automatable way of predicting rankings of MT systems compatible with human evaluations of these systems expressed in the form of Fluency, Adequacy or Informativeness scores. Our approach is to establish whether there is a correlation between rankings derived from such scores and the ones that can be built on the basis of automatically computable attributes of syntactic or semantic nature. We present promising results obtained on the DARPA94 MT evaluation corpus.
%U https://aclanthology.org/2001.mtsummit-eval.6
Markdown (Informal)
[Automatically predicting MT systems rankings compatible with fluency, adequacy and informativeness scores](https://aclanthology.org/2001.mtsummit-eval.6) (Rajman & Hartley, MTSummit 2001)
ACL