Morpho-semantic Relations in Wordnet – a Case Study for two Slavic Languages

نویسندگان

  • Svetla Koeva
  • Cvetana Krstev
  • Duško Vitas
چکیده

In this paper we present the problem of representing the morphosyntactic relations in wordnets, especially the problems that arise when wordnets for languages that differ significantly from English are being developed on the basis of the Princeton wordnet, which is the case for Bulgarian and Serbian. We present the derivational characteristics of these two languages, how these characteristics are presently encoded in corresponding wordnets, and give some guidelines for their better coverage. Finally, we discuss the possibility to automatically generate new synsets and/or new relations on the basis of the most frequent and most regular derivational patterns.

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

منابع مشابه

Leveraging Morpho-semantics for the Discovery of Relations in Chinese Wordnet

Semantic relations of different types have played an important role in wordnet, and have been widely recognized in various fields. In recent years, with the growing interests of constructing semantic network in support of intelligent systems, automatic semantic relation discovery has become an urgent task. This paper aims to extract semantic relations relying on the in situ morpho-semantic stru...

متن کامل

Automatic Construction of Persian ICT WordNet using Princeton WordNet

WordNet is a large lexical database of English language, in which, nouns, verbs, adjectives, and adverbs are grouped into sets of cognitive synonyms (synsets). Each synset expresses a distinct concept. Synsets are interlinked by both semantic and lexical relations. WordNet is essentially used for word sense disambiguation, information retrieval, and text translation. In this paper, we propose s...

متن کامل

Wordnet-Based Cross-Language Identification of Semantic Relations

We propose a method for cross-language identification of semantic relations based on word similarity measurement and morphosemantic relations in WordNet. We transfer these relations to pairs of derivationally unrelated words and train a model for automatic classification of new instances of (morpho)semantic relations in context based on the existing ones and the general semantic classes of coll...

متن کامل

Towards Semi Automatic Construction of a Lexical Ontology for Persian

Lexical ontologies and semantic lexicons are important resources in natural language processing. They are used in various tasks and applications, especially where semantic processing is evolved such as question answering, machine translation, text understanding, information retrieval and extraction, content management, text summarization, knowledge acquisition and semantic search engines. Altho...

متن کامل

Coping with Derivation in the Bulgarian Wordnet

The paper motivates a strategy for identification and annotation of derivational relations in the Bulgarian wordnet that aims at coping with the complex morphology of the language in an elegant way. Our method involves transfer of the Princeton WordNet (morpho)semantic relations into the Bulgarian wordnet, at the level of the synset, and further detection of derivational relations between liter...

متن کامل

ذخیره در منابع من


  با ذخیره ی این منبع در منابع من، دسترسی به آن را برای استفاده های بعدی آسان تر کنید

برای دانلود متن کامل این مقاله و بیش از 32 میلیون مقاله دیگر ابتدا ثبت نام کنید

ثبت نام

اگر عضو سایت هستید لطفا وارد حساب کاربری خود شوید

عنوان ژورنال:

دوره   شماره 

صفحات  -

تاریخ انتشار 2007