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LREC
2010
164views Education» more  LREC 2010»
13 years 11 months ago
Evaluating Machine Translation Utility via Semantic Role Labels
We present the methodology that underlies new metrics for semantic machine translation evaluation that we are developing. Unlike widely-used lexical and n-gram based MT evaluation...
Chi-kiu Lo, Dekai Wu
EACL
2009
ACL Anthology
14 years 10 months ago
N-Gram-Based Statistical Machine Translation versus Syntax Augmented Machine Translation: Comparison and System Combination
In this paper we compare and contrast two approaches to Machine Translation (MT): the CMU-UKA Syntax Augmented Machine Translation system (SAMT) and UPC-TALP N-gram-based Statisti...
José A. R. Fonollosa, Maxim Khalilov
LREC
2008
122views Education» more  LREC 2008»
13 years 11 months ago
Applying Automated Metrics to Speech Translation Dialogs
Over the past five years, the Defense Advanced Research Projects Agency (DARPA) has funded development of speech translation systems for tactical applications. A key component of ...
Sherri L. Condon, Jon Phillips, Christy Doran, Joh...
CICLING
2009
Springer
14 years 10 months ago
Enriching Statistical Translation Models Using a Domain-Independent Multilingual Lexical Knowledge Base
This paper presents a method for improving phrase-based Statistical Machine Translation systems by enriching the original translation model with information derived from a multilin...
Miguel García, Jesús Giménez,...
ICTAI
2010
IEEE
13 years 7 months ago
Support Vector Methods for Sentence Level Machine Translation Evaluation
Recent work in the field of machine translation (MT) evaluation suggests that sentence level evaluation based on machine learning (ML) can outperform the standard metrics such as B...
Antoine Veillard, Elvina Melissa, Cassandra Theodo...