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Statements

Subject Item
n2:RIV%2F00216208%3A11320%2F12%3A10130026%21RIV13-GA0-11320___
rdf:type
skos:Concept n16:Vysledek
rdfs:seeAlso
http://www.lrec-conf.org/proceedings/lrec2012/summaries/336.html
dcterms:description
We present a complex, open source tool for detailed machine translation error analysis providing the user with automatic error detection and classification, several monolingual alignment algorithms as well as with training and test corpus browsing. The tool is the result of a merge of automatic error detection and classification of Hjerson (Popović, 2011) and Addicter (Zeman et al., 2011) into the pipeline and web visualization of Addicter. It classifies errors into categories similar to those of Vilar et al. (2006), such as: morphological, reordering, missing words, extra words and lexical errors. The graphical user interface shows alignments in both training corpus and test data; the different classes of errors are colored. Also, the summary of errors can be displayed to provide an overall view of the MT system's weaknesses. The tool was developed in Linux, but it was tested on Windows too. We present a complex, open source tool for detailed machine translation error analysis providing the user with automatic error detection and classification, several monolingual alignment algorithms as well as with training and test corpus browsing. The tool is the result of a merge of automatic error detection and classification of Hjerson (Popović, 2011) and Addicter (Zeman et al., 2011) into the pipeline and web visualization of Addicter. It classifies errors into categories similar to those of Vilar et al. (2006), such as: morphological, reordering, missing words, extra words and lexical errors. The graphical user interface shows alignments in both training corpus and test data; the different classes of errors are colored. Also, the summary of errors can be displayed to provide an overall view of the MT system's weaknesses. The tool was developed in Linux, but it was tested on Windows too.
dcterms:title
Automatic MT Error Analysis: Hjerson Helping Addicter Automatic MT Error Analysis: Hjerson Helping Addicter
skos:prefLabel
Automatic MT Error Analysis: Hjerson Helping Addicter Automatic MT Error Analysis: Hjerson Helping Addicter
skos:notation
RIV/00216208:11320/12:10130026!RIV13-GA0-11320___
n16:predkladatel
n17:orjk%3A11320
n3:aktivita
n13:P
n3:aktivity
P(7E09003), P(7E11051), P(GAP406/11/1499), P(GPP406/10/P259)
n3:dodaniDat
n21:2013
n3:domaciTvurceVysledku
n9:2630176 n9:9363661 n9:3526569
n3:druhVysledku
n19:D
n3:duvernostUdaju
n8:S
n3:entitaPredkladatele
n4:predkladatel
n3:idSjednocenehoVysledku
124192
n3:idVysledku
RIV/00216208:11320/12:10130026
n3:jazykVysledku
n18:eng
n3:klicovaSlova
addicter; helping; hjerson; analysis; error; automatic
n3:klicoveSlovo
n5:automatic n5:hjerson n5:error n5:analysis n5:addicter n5:helping
n3:kontrolniKodProRIV
[CB5C6C10CEEC]
n3:mistoKonaniAkce
İstanbul, Turkey
n3:mistoVydani
İstanbul, Turkey
n3:nazevZdroje
Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012)
n3:obor
n11:IN
n3:pocetDomacichTvurcuVysledku
3
n3:pocetTvurcuVysledku
5
n3:projekt
n10:7E11051 n10:7E09003 n10:GPP406%2F10%2FP259 n10:GAP406%2F11%2F1499
n3:rokUplatneniVysledku
n21:2012
n3:tvurceVysledku
Zeman, Daniel Bojar, Ondřej Fishel, Mark Popović, Maja Berka, Jan
n3:typAkce
n23:CST
n3:zahajeniAkce
2012-05-21+02:00
s:numberOfPages
6
n20:hasPublisher
European Language Resources Association
n15:isbn
978-2-9517408-7-7
n14:organizacniJednotka
11320