@inproceedings{brown-2005-context,
    title = "Context-sensitive Retrieval for Example-based Translation",
    author = "Brown, Ralf",
    booktitle = "Workshop on example-based machine translation",
    month = sep # " 13-15",
    year = "2005",
    address = "Phuket, Thailand",
    url = "https://preview.aclanthology.org/more-markup/2005.mtsummit-ebmt.2/",
    pages = "9--15",
    abstract = "Example-Based Machine Translation (EBMT) systems have typically operated on individual sentences without taking into account prior context. By adding a simple reweighting of retrieved fragments of training examples on the basis of whether the previous translation retrieved any fragments from examples within a small window of the current instance, translation performance is improved. A further improvement is seen by performing a similar reweighting when another fragment of the current input sentence was retrieved from the same training example. Together, a simple, straightforward implementation of these two factors results in an improvement on the order of 1.0{--}1.6{\%} in the BLEU metric across multiple data sets in multiple languages."
}