Key Results and Cross-Language Comparison

META-NET White Paper Series: Europe’s Languages in the Digital Age

Series editors: Georg Rehm and Hans Uszkoreit

Published in 2012 by Springer

Key Results and Cross-Language Comparison

The following table illustrates the state of language technology for the languages discussed in the White Paper Series. For more details, have a look at the individual White Papers.

Machine Translation

Excellent support	Good support	Moderate support	Fragmentary support	Weak/no support
	English	French Spanish	Catalan Dutch German Hungarian Italian Polish Romanian	Basque Bulgarian Croatian Czech Danish Estonian Finnish Galician Greek Icelandic Irish Latvian Lithuanian Maltese Norwegian (Bokmål, Nynorsk) Portuguese Serbian Slovak Slovene Swedish Welsh

Speech Processing

Excellent support	Good support	Moderate support	Fragmentary support	Weak/no support
	English	Czech Dutch Finnish French German Italian Portuguese Spanish	Basque Bulgarian Catalan Danish Estonian Galician Greek Hungarian Irish Norwegian (Bokmål, Nynorsk) Polish Serbian Slovak Slovene Swedish	Croatian Icelandic Latvian Lithuanian Maltese Romanian Welsh

Text Analysis

Excellent support	Good support	Moderate support	Fragmentary support	Weak/no support
	English	Dutch French German Italian Spanish	Basque Bulgarian Catalan Czech Danish Finnish Galician Greek Hungarian Norwegian (Bokmål, Nynorsk) Polish Portuguese Romanian Slovak Slovene Swedish	Croatian Estonian Icelandic Irish Latvian Lithuanian Maltese Serbian Welsh

Speech and Text Resources

Excellent support	Good support	Moderate support	Fragmentary support	Weak/no support
	English	Czech Dutch French German Hungarian Italian Polish Spanish Swedish	Basque Bulgarian Catalan Croatian Danish Estonian Finnish Galician Greek Norwegian (Bokmål, Nynorsk) Portuguese Romanian Serbian Slovak Slovene	Icelandic Irish Latvian Lithuanian Maltese Welsh