Grammatiske fingeravtrykk

Normklynger er grupper av tekster som viser felles valg blant valgfrie alternativer innenfor en skriftspråksnorm og danner ‘klynger’ innenfor rommet av valgmuligheter fordi andre valgkombinasjoner er sjeldnere. Basert på materiale på bokmål fra den norske trebanken NorGramBank undersøker denne studien forekomsten av norm­klynger som omfatter både morfologiske og syntaktiske fenomener, og muligheten for å identifisere forfatteren bak en tekst på grunnlag av plassering av forfatterens tekster i forhold til slike klynger. I avsnittene 2–3 under­søkes korrelasjoner mellom åtte grammatiske fenomener blant 338 forfattere, parallelt med en kasus­studie av forfatterattribusjon basert på én forfatter. Attribusjonsstudien utvides i avsnitt 4 gjennom sammenligning med ytterligere ni tilfeldig valgte forfattere. Studien dokumenterer korrelasjoner mellom morfologiske og syntaktiske fenomener. Kasusstudien demonstrerer muligheten for at en forfatter på grunnlag av et lavt antall norm- og stilvalgrelaterte egenskaper noen ganger kan identifiseres blant flere hundre andre som forfatter av sine tekster. Studien av ni ytterligere forfattere støtter antagelsen om en sammenheng mellom denne muligheten og forfatterens plassering i forhold til normklynger, men indikerer at også andre faktorer spiller inn

Multiword expressions in an LFG grammar for Norwegian

This chapter describes the analysis of multiword expressions in NorGram, an LFG grammar of Norwegian. All multiword expressions need to be accounted for in the lexicon, but in different ways depending on the flexibility of the expression. Each multiword expression is provided with a lexical entry that has a special predicate name incorporating the lexical items that the multiword consists of and that specifies the argument structure of the predicate. In this way, analyses are provided for a wide range of multiword types, including fixed expressions, phrasal verbs, verbal idioms, and others.publishedVersio

Representation and parsing of multiword expressions: Current trends

This book consists of contributions related to the definition, representation and parsing of MWEs. These reflect current trends in the representation and processing of MWEs. They cover various categories of MWEs such as verbal, adverbial and nominal MWEs, various linguistic frameworks (e.g. tree-based and unification-based grammars), various languages including English, French, Modern Greek, Hebrew, Norwegian), and various applications (namely MWE detection, parsing, automatic translation) using both symbolic and statistical approaches

Representation and parsing of multiword expressions: Current trends

This book consists of contributions related to the definition, representation and parsing of MWEs. These reflect current trends in the representation and processing of MWEs. They cover various categories of MWEs such as verbal, adverbial and nominal MWEs, various linguistic frameworks (e.g. tree-based and unification-based grammars), various languages including English, French, Modern Greek, Hebrew, Norwegian), and various applications (namely MWE detection, parsing, automatic translation) using both symbolic and statistical approaches

Representation and parsing of multiword expressions: Current trends

This book consists of contributions related to the definition, representation and parsing of MWEs. These reflect current trends in the representation and processing of MWEs. They cover various categories of MWEs such as verbal, adverbial and nominal MWEs, various linguistic frameworks (e.g. tree-based and unification-based grammars), various languages including English, French, Modern Greek, Hebrew, Norwegian), and various applications (namely MWE detection, parsing, automatic translation) using both symbolic and statistical approaches

Representation and parsing of multiword expressions: Current trends

This book consists of contributions related to the definition, representation and parsing of MWEs. These reflect current trends in the representation and processing of MWEs. They cover various categories of MWEs such as verbal, adverbial and nominal MWEs, various linguistic frameworks (e.g. tree-based and unification-based grammars), various languages including English, French, Modern Greek, Hebrew, Norwegian), and various applications (namely MWE detection, parsing, automatic translation) using both symbolic and statistical approaches

Representation and parsing of multiword expressions: Current trends

This book consists of contributions related to the definition, representation and parsing of MWEs. These reflect current trends in the representation and processing of MWEs. They cover various categories of MWEs such as verbal, adverbial and nominal MWEs, various linguistic frameworks (e.g. tree-based and unification-based grammars), various languages including English, French, Modern Greek, Hebrew, Norwegian), and various applications (namely MWE detection, parsing, automatic translation) using both symbolic and statistical approaches

Representation and parsing of multiword expressions: Current trends

This book consists of contributions related to the definition, representation and parsing of MWEs. These reflect current trends in the representation and processing of MWEs. They cover various categories of MWEs such as verbal, adverbial and nominal MWEs, various linguistic frameworks (e.g. tree-based and unification-based grammars), various languages including English, French, Modern Greek, Hebrew, Norwegian), and various applications (namely MWE detection, parsing, automatic translation) using both symbolic and statistical approaches

Representation and parsing of multiword expressions: Current trends

This book consists of contributions related to the definition, representation and parsing of MWEs. These reflect current trends in the representation and processing of MWEs. They cover various categories of MWEs such as verbal, adverbial and nominal MWEs, various linguistic frameworks (e.g. tree-based and unification-based grammars), various languages including English, French, Modern Greek, Hebrew, Norwegian), and various applications (namely MWE detection, parsing, automatic translation) using both symbolic and statistical approaches