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Linking Discourse Marker Inventoriesстатья
Информация о цитировании статьи получена из
Scopus
Дата последнего поиска статьи во внешних источниках: 26 января 2022 г.
- Авторы: Chiarcos Christian, Ionov Maxim
- Сборник: 3rd Conference on Language, Data and Knowledge (LDK 2021)
- Серия: Open Access Series in Informatics (OASIcs)
- Том: 93
- Год издания: 2021
- Место издания: Schloss Dagstuhl – Leibniz-Zentrum für Informatik Dagstuhl, Germany
- Первая страница: 40:1
- Последняя страница: 40:15
- DOI: 10.4230/OASIcs.LDK.2021.40
- Аннотация: The paper describes the first comprehensive edition of machine-readable discourse marker lexicons. Discourse markers such as and, because, but, though or thereafter are essential communicative signals in human conversation, as they indicate how an utterance relates to its communicative context. As much of this information is implicit or expressed differently in different languages, discourse parsing, context-adequate natural language generation and machine translation are considered particularly challenging aspects of Natural Language Processing. Providing this data in machine-readable, standard-compliant form will thus facilitate such technical tasks, and moreover, allow to explore techniques for translation inference to be applied to this particular group of lexical resources that was previously largely neglected in the context of Linguistic Linked (Open) Data.
- Добавил в систему: Ионов Максим Игоревич