multi-word lexical units are a typical feature of specialized dictionaries, in particular monolingual and bilingual maritime dictionaries. the paper studies the concept of the multi-word lexical unit and considers the similarities and differences of their selection and presentation in monolingual and bilingual maritime dictionaries. the work analyses such issues as the classification of multi-w...

Multi-word lexical units are a typical feature of specialized dictionaries, in particular monolingual and bilingual maritime dictionaries. The paper studies the concept of the multi-word lexical unit and considers the similarities and differences of their selection and presentation in monolingual and bilingual maritime dictionaries. The work analyses such issues as the classification of multi-w...

The Quran and Hadiths including Infallibles (AS) Hadiths such as Imam Sadegh (AS) were one of compilation references, and also, one of the fields of research for Arabs morphologists from long time ago. Imam Sadegh’s (AS) Hadiths based on Sunni’s lexicon, and then, based on another Islamic science books will be illustrated in this research in order to identify where these Hadiths hav...

Ontologies as part of a lexicon are important for many NLP tasks. In this paper, we draw on experiences gained in an ESPRIT project called TREVI, which concerns news filtering and enrichment and includes a English/Spanish multilingual Lexicon. We sketch the way the Lexicon, including an ontology, is constructed, and present the methodology used for adding domain ontologies. In general, the appr...

The paper describes the new Russian sentiment lexicon RuSentiLex. The lexicon was gathered from several sources: opinionated words from domain-oriented Russian sentiment vocabularies, slang and curse words extracted from Twitter, objective words with positive or negative connotations from a news collection. The words in the lexicon having different sentiment orientations in specific senses are ...

Lexicon-based approaches have been widely used for opinion retrieval due to their simplicity. However, no previous work has focused on the domain-dependency problem in opinion lexicon construction. This paper proposes simple feedback-style learning for query-specific opinion lexicon using the set of top-retrieved documents in response to a query. The proposed learning starts from the initial do...

General knowledge sentiment lexicons have the advantage of wider term coverage. However, such lexicons typically have inferior performance for sentiment classification compared to using domain focused lexicons or machine learning classifiers. Such poor performance can be attributed to the fact that some domain-specific sentiment-bearing terms may not be available from a general knowledge lexico...

Multi-agent models of language evolution usually involve agents giving names to internal independently constructed categories. We present an approach in which the creation of categories is part of the language formation process itself. When an agent does not have a word for a particular object it is allowed to use the existing name of another object, close to the original one as defined by an a...