The great increase in work on the lexicon by computational and theoretical linguists throughout the 1980s has concerned itself, almost exclusively, with monolingual lexicons. Meanwhile, applied work on multilingual lexicons, mostly for machine translation (MT), has employed monolingual lexicons linked only at the level of semantics. In this paper, we argue that the traditional MT lexicon architecture, while arguably adequate for unrelated languages, makes it impossible to capture important generalisations about related languages. These generalisations, if captured, can help to produce more robust multilingual natural language processing (NLP) systems for such languages. We discuss the types of relation we find in Dutch, English and German a...
This paper describes the idea behind a multilingual database (Muldi) designed to incorporate five co...
Traditional approaches to supervised learning require a generous amount of labeled data for good gen...
Traditional approaches to supervised learning require a generous amount of labeled data for good gen...
The great increase in work on the lexicon by computational and theoretical linguists throughout the ...
This paper discusses a fairly new approach to multilingual lexical representation which abstracts aw...
This paper describes a procedure to convert the PAROLE-SIMPLE monolingual lexicons into bilingual in...
Addressing the cross-lingual variation of grammatical structures and meaning categorization is a key...
bed This paper describes a framework for multilingual /bEd/ inheritance-based l xical representation...
EuroWordNet builds a multilingual database with wordnets for several European languages. Each langua...
Multilingual representations have mostly been evaluated based on their performance on specific tasks...
Multilingual representations have mostly been evaluated based on their performance on specific tasks...
In this paper we present a methodology for extracting information about lexical translation equivale...
Traditional approaches to supervised learning require a generous amount of labeled data for good gen...
In this paper we present a methodology for extracting information about lexical translation equivale...
In this paper we present a methodology for extracting information about lexical translation equivale...
This paper describes the idea behind a multilingual database (Muldi) designed to incorporate five co...
Traditional approaches to supervised learning require a generous amount of labeled data for good gen...
Traditional approaches to supervised learning require a generous amount of labeled data for good gen...
The great increase in work on the lexicon by computational and theoretical linguists throughout the ...
This paper discusses a fairly new approach to multilingual lexical representation which abstracts aw...
This paper describes a procedure to convert the PAROLE-SIMPLE monolingual lexicons into bilingual in...
Addressing the cross-lingual variation of grammatical structures and meaning categorization is a key...
bed This paper describes a framework for multilingual /bEd/ inheritance-based l xical representation...
EuroWordNet builds a multilingual database with wordnets for several European languages. Each langua...
Multilingual representations have mostly been evaluated based on their performance on specific tasks...
Multilingual representations have mostly been evaluated based on their performance on specific tasks...
In this paper we present a methodology for extracting information about lexical translation equivale...
Traditional approaches to supervised learning require a generous amount of labeled data for good gen...
In this paper we present a methodology for extracting information about lexical translation equivale...
In this paper we present a methodology for extracting information about lexical translation equivale...
This paper describes the idea behind a multilingual database (Muldi) designed to incorporate five co...
Traditional approaches to supervised learning require a generous amount of labeled data for good gen...
Traditional approaches to supervised learning require a generous amount of labeled data for good gen...