ENGLISH/POLISH PHRASE BOOK FOR ADMINISTRATIVE STAFF of LOCAL GOVERNMENT UNITS (Processed)  

This dataset has been created within the framework of the European Language Resource Coordination (ELRC) Connecting Europe Facility - Automated Translation (CEF.AT) action. For further information on the project: http://lr-coordination.eu. An English/Polish phrase book for the administrative sta...

Resource Type:Corpus
Media Type:Text
Languages:English
Polish
Parallel corpus from Social Insurance Agency -- Försäkringskassan (Sweden) (Processed)

This dataset has been created within the framework of the European Language Resource Coordination (ELRC) Connecting Europe Facility - Automated Translation (CEF.AT) action. For further information on the project: http://lr-coordination.eu. Parallel corpus from Social Insurance Agency (Sweden) (F...

Resource Type:Corpus
Media Type:Text
Languages:English
Swedish
National Health Fund Dataset (Processed)

This dataset has been created within the framework of the European Language Resource Coordination (ELRC) Connecting Europe Facility - Automated Translation (CEF.AT) action. For further information on the project: http://lr-coordination.eu. The dataset is a 274K-token Polish-English parallel reso...

Resource Type:Corpus
Media Type:Text
Languages:English
Polish
Multilingual corpus from the Publications Office of the EU on the medical domain v.2

277780 sentence pairs (in 23 EN-X language pairs in total) extracted from the Publications Office of the EU on the medical domain. These are sourced from laws, studies, EC announcements, etc. labelled with concepts like epidemiology, epidemic, disease surveillance, health control, public hygiene,...

Resource Type:Corpus
Media Type:Text
Languages:Bulgarian
Croatian
Czech
Danish
Dutch; Flemish
English
Estonian
Finnish
French
German
Greek, Modern (1453-)
Hungarian
Irish
Italian
Latvian
Lithuanian
Maltese
Polish
Portuguese
Romanian
Slovak
Slovenian
Spanish; Castilian
Swedish
COVID-19 EUR-LEX dataset . Multilingual (CEF languages)

Multilingual (CEF languages) corpus acquired from website (https://eur-lex.europa.eu/legal-content) of the EU portal (9th July 2020). It contains 23 TMX files (EN-X, X is a CEF language) with 475,931 translation units pairs in total.

Resource Type:Corpus
Media Type:Text
Languages:Bulgarian
Croatian
Czech
Danish
Dutch; Flemish
English
Estonian
Finnish
French
German
Greek, Modern (1453-)
Hungarian
Irish
Italian
Latvian
Lithuanian
Maltese
Moldavian; Moldovan
Polish
Portuguese
Romanian
Slovak
Slovenian
Spanish; Castilian
Swedish
UIMA/U-Compare GENIA Tokeniser (GENIA Tagger)

Tokenisation is one of the functionalities of the GENIA tagger, which additionally outputs the base forms, part-of-speech tags, chunk tags, and named entity tags. The tagger is specifically tuned for biomedical text such as MEDLINE abstracts. The tool is a UIMA component, which forms part of th...

Resource Type:Tool / Service
Language:English
Khresmoi Query Translation Test Data for the Medical Domain version 1.0

This package contains data sets for development and testing of machine translation of medical search short queries between Czech, English, French, and German. The queries come from the general public and from medical experts.

Resource Type:Corpus
Media Type:Text
Languages:Czech
English
French
German
Georeferenced Tweets

Tweets annotated with geographic coordinates

Resource Type:Corpus
Media Type:Text
Language:English
EUIPO - list of goods and services German and English (Processed)

This dataset has been created within the framework of the European Language Resource Coordination (ELRC) Connecting Europe Facility - Automated Translation (CEF.AT) action. For further information on the project: http://lr-coordination.eu. EUIPO list of goods and services format: TMX

Resource Type:Corpus
Media Type:Text
Languages:English
German
N3-Collection

We publish three novel datasets called N3. N3 will be published using NIF ensuring a greater interoperability to overcome the need for corpus-specific parsers. The data can be downloaded from our project homepage.

Resource Type:Corpus
Media Type:Text
Languages:English
German

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