Sökning: "corpus-based methods"

Visar resultat 1 - 5 av 11 avhandlingar innehållade orden corpus-based methods.

1. 1. Antonyms in Context : A Corpus-Based Semantic Analysis of Swedish Descriptive Adjectives

   Författare :Caroline Willners; Allmän språkvetenskap; []
   Nyckelord :HUMANIORA; HUMANITIES; Nordiska språk språk och litteratur ; Scandinavian languages and literature; WordNet; semantic frameword; semantic network; sentential co-occurrence; semantic range; adjectives; antnoymy; lexical semantics; corpus-based methods; Lexicology; Lexikologi; Grammar; semantics; semiotics; syntax; Grammatik; semantik; semiotik;

   Sammanfattning : How are antonym relations acquired? What types of lexical information can be extracted from corpora and how? How can this information be encoded in a lexicon? The work in this book was developed within the framework of WordNet. A further elaborated lexical model is suggested, as well as methods for implementing it. LÄS MER

3. 2. Русские прилагательные родной, любимый, милый и дорогой в вокативной функции: корпусный анализ

   Författare :Irina Malaxos; Ludmila Pöppel; Dmitrij Dobrovol'skij; Igor Boguslavsky; Stockholms universitet; []
   Nyckelord :HUMANIORA; HUMANITIES; pragmatics; semantics; near-synonyms; corpus-based analysis; quantitative methods; ctree; random forest; profile analysis; vocative; slaviska språk; Slavic Languages;

   Sammanfattning : The present study examines four Russian adjectives used as vocatives: rodnoj (blood-related), ljubimyj (beloved), milyj (darling) and dorogoj (dear).The principal goal is to identify and investigate the pragmatic features of these vocatives, which have not yet been described. LÄS MER

4. 3. Expressions of Future in Present-day English: A Corpus-based Approach

   Författare :Ylva Berglund; Merja Kytö; Michael Stubbs; Uppsala universitet; []
   Nyckelord :HUMANIORA; HUMANITIES; English language; association patterns; corpus linguistics; English; expressions of future; tense; variation; Engelska; English language; Engelska språket;

   Sammanfattning : This corpus-based study of the use of expressions of future in English has two aims: to examine how certain expressions of future are used in Present-day English, and to explore how electronic corpora can be exploited for linguistic study.The expressions focused on in this thesis are five auxiliary or semi-auxiliary verb phrases frequently discussed in studies of future reference in English: will, ’ll, shall, going to and gonna. LÄS MER

5. 4. Learning Language (with) Grammars: From Teaching Latin to Learning Domain-Specific Grammars

   Författare :Herbert Lange; Göteborgs universitet; []
   Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; Latin; Latin syntax; Latin morphology; Grammar engineering; Grammar testing; Corpus-based evaluation; Computer-assisted language learning; Grammar learning; Constraint satisfaction; Constraint optimization;

   Sammanfattning : This thesis describes work in three areas: grammar engineering, computer-assisted language learning and grammar learning. These three parts are connected by the concept of a grammar-based language learning application. Two types of grammars are of concern. The first we call resource grammars, extensive descriptions a natural languages. LÄS MER

7. 5. Probabilistic and Prominence-driven Incremental Argument Interpretation in Swedish

   Författare :Thomas Hörberg; Maria Koptjevskaja-Tamm; T. Florian Jaeger; Petra Hendriks; Stockholms universitet; []
   Nyckelord :HUMANIORA; HUMANITIES; grammatical functions; Swedish; grammatical function assignment; grammatical function reanalysis; argument prominence; discourse prominence; information structure; event-related brain potentials; self-paced reading; corpus-based modeling; Bayesian surprise; surprisal; Linguistics; lingvistik;

   Sammanfattning : This dissertation investigates how grammatical functions in transitive sentences (i.e., `subject' and `direct object') are distributed in written Swedish discourse with respect to morphosyntactic as well as semantic and referential (i.e. LÄS MER