About: Automatic MT Error Analysis: Hjerson Helping Addicter

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An Entity of Type : http://linked.opendata.cz/ontology/domain/vavai/Vysledek, within Data Space : linked.opendata.cz associated with source document(s)

Attributes	Values
rdf:type	skos:Concept http://linked.opendata.cz/ontology/domain/vavai/Vysledek
rdfs:seeAlso	http://www.lrec-conf.org/proceedings/lrec2012/summaries/336.html
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. (en)
Title	Automatic MT Error Analysis: Hjerson Helping Addicter Automatic MT Error Analysis: Hjerson Helping Addicter (en)
skos:prefLabel	Automatic MT Error Analysis: Hjerson Helping Addicter Automatic MT Error Analysis: Hjerson Helping Addicter (en)
skos:notation	RIV/00216208:11320/12:10130026!RIV13-GA0-11320___
http://linked.open...avai/riv/aktivita	P
http://linked.open...avai/riv/aktivity	P(7E09003), P(7E11051), P(GAP406/11/1499), P(GPP406/10/P259)
http://linked.open...vai/riv/dodaniDat	2013
http://linked.open...aciTvurceVysledku	Bojar, Ondřej Berka, Jan Zeman, Daniel
http://linked.open.../riv/druhVysledku	D - Článek ve sborníku
http://linked.open...iv/duvernostUdaju	S - Úplné a pravdivé údaje nepodléhající ochraně podle zvláštních právních předpisů
http://linked.open...titaPredkladatele	Univerzita Karlova v Praze / Matematicko-fyzikální fakulta
http://linked.open...dnocenehoVysledku	124192
http://linked.open...ai/riv/idVysledku	RIV/00216208:11320/12:10130026
http://linked.open...riv/jazykVysledku	eng - angličtina
http://linked.open.../riv/klicovaSlova	addicter; helping; hjerson; analysis; error; automatic (en)
http://linked.open.../riv/klicoveSlovo	automatic analysis error hjerson addicter helping
http://linked.open...ontrolniKodProRIV	[CB5C6C10CEEC]
http://linked.open...v/mistoKonaniAkce	İstanbul, Turkey
http://linked.open...i/riv/mistoVydani	İstanbul, Turkey
http://linked.open...i/riv/nazevZdroje	Proceedings of the 8th International Conference on Language Resources and Evaluation (LREC 2012)
http://linked.open...in/vavai/riv/obor	IN
http://linked.open...ichTvurcuVysledku	3 (xsd:int)
http://linked.open...cetTvurcuVysledku	5 (xsd:int)
http://linked.open...vavai/riv/projekt	EuroMatrixPlus - Enlarged European Union Bringing Machine Translation for European Languages to the User EuroMatrixPlus—Bringing Machine Translation for European Languages to the User Czech in the Machine Translation Era (CZECHMATE) Combining Phrase-Based and Deep-Syntactic Machine Translation
http://linked.open...UplatneniVysledku	2012
http://linked.open...iv/tvurceVysledku	Berka, Jan Bojar, Ondřej Fishel, Mark Popović, Maja Zeman, Daniel
http://linked.open...vavai/riv/typAkce	CST - Celostátní
http://linked.open.../riv/zahajeniAkce	2012-05-21 (xsd:date)
number of pages	6 (xsd:int)
http://purl.org/ne...btex#hasPublisher	European Language Resources Association
https://schema.org/isbn	978-2-9517408-7-7
http://localhost/t...ganizacniJednotka	11320

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