A review of the state-of-the-art in automatic post-editing
This article presents a review of the evolution of automatic post-editing, a term that describes
methods to improve the output of machine translation systems, based on knowledge …
methods to improve the output of machine translation systems, based on knowledge …
Toward gender-inclusive coreference resolution
Correctly resolving textual mentions of people fundamentally entails making inferences
about those people. Such inferences raise the risk of systemic biases in coreference …
about those people. Such inferences raise the risk of systemic biases in coreference …
[PDF][PDF] Findings of the 2011 workshop on statistical machine translation
This paper presents the results of the WMT11 shared tasks, which included a translation
task, a system combination task, and a task for machine translation evaluation metrics. We …
task, a system combination task, and a task for machine translation evaluation metrics. We …
Toward gender-inclusive coreference resolution: An analysis of gender and bias throughout the machine learning lifecycle
Correctly resolving textual mentions of people fundamentally entails making inferences
about those people. Such inferences raise the risk of systematic biases in coreference …
about those people. Such inferences raise the risk of systematic biases in coreference …
[PDF][PDF] A neural network based approach to automatic post-editing
We present a neural network based automatic post-editing (APE) system to improve raw
machine translation (MT) output. Our neural model of APE (NNAPE) is based on a …
machine translation (MT) output. Our neural model of APE (NNAPE) is based on a …
[PDF][PDF] DEPFIX: A system for automatic correction of Czech MT outputs
We present an improved version of DEPFIX (Marecek et al., 2011), a system for automatic
rule-based post-processing of Englishto-Czech MT outputs designed to increase their …
rule-based post-processing of Englishto-Czech MT outputs designed to increase their …
Generalizing cross-document event coreference resolution across multiple corpora
Cross-document event coreference resolution (CDCR) is an NLP task in which mentions of
events need to be identified and clustered throughout a collection of documents. CDCR …
events need to be identified and clustered throughout a collection of documents. CDCR …
Incorporating pronoun function into statistical machine translation
LK Guillou - 2016 - era.ed.ac.uk
Pronouns are used frequently in language, and perform a range of functions. Some
pronouns are used to express coreference, and others are not. Languages and genres differ …
pronouns are used to express coreference, and others are not. Languages and genres differ …
[LIVRE][B] Neural automatic post-editing using prior alignment and reranking
We present a second-stage machine translation (MT) system based on a neural machine
translation (NMT) approach to automatic post-editing (APE) that improves the translation …
translation (NMT) approach to automatic post-editing (APE) that improves the translation …
Slavic languages in phrase-based statistical machine translation: a survey
The demand for translations is increasing at a rate far beyond the capacity of professional
translators. It is too difficult, time consuming and expensive to translate everything from …
translators. It is too difficult, time consuming and expensive to translate everything from …