Refine
Year of publication
Document Type
- Part of a Book (4500)
- Article (2966)
- Book (996)
- Conference Proceeding (688)
- Part of Periodical (308)
- Review (257)
- Other (151)
- Working Paper (83)
- Doctoral Thesis (68)
- Report (35)
Language
- German (8078)
- English (1765)
- Russian (145)
- French (38)
- Multiple languages (22)
- Spanish (16)
- Portuguese (14)
- Italian (9)
- Polish (7)
- Ukrainian (5)
Keywords
- Deutsch (5140)
- Korpus <Linguistik> (940)
- Wörterbuch (605)
- Konversationsanalyse (451)
- Rezension (423)
- Grammatik (405)
- Rechtschreibung (374)
- Gesprochene Sprache (361)
- Sprachgebrauch (356)
- Interaktion (339)
Publicationstate
- Veröffentlichungsversion (3883)
- Zweitveröffentlichung (1642)
- Postprint (395)
- Preprint (10)
- Erstveröffentlichung (8)
- Ahead of Print (7)
- (Verlags)-Lektorat (4)
- Hybrides Open Access (2)
- Verlags-Lektorat (1)
- Verlagsveröffentlichung (1)
Reviewstate
- (Verlags)-Lektorat (3836)
- Peer-Review (1596)
- Verlags-Lektorat (94)
- Peer-review (56)
- Qualifikationsarbeit (Dissertation, Habilitationsschrift) (44)
- Review-Status-unbekannt (14)
- Peer-Revied (12)
- Abschlussarbeit (Bachelor, Master, Diplom, Magister) (Bachelor, Master, Diss.) (10)
- (Verlags-)Lektorat (9)
- Verlagslektorat (5)
Publisher
- de Gruyter (1334)
- Institut für Deutsche Sprache (1091)
- Schwann (638)
- Narr (484)
- Leibniz-Institut für Deutsche Sprache (IDS) (263)
- De Gruyter (245)
- Niemeyer (200)
- Lang (184)
- Narr Francke Attempto (170)
- IDS-Verlag (144)
Converting and Representing Social Media Corpora into TEI: Schema and best practices from CLARIN-D
(2016)
The paper presents results from a curation project within CLARIN-D, in which an existing lMWord corpus of German chat communication has been integrated into the DEREKO and DWDS corpus infrastructures of the CLARIN-D centres at the Institute for the German Language (IDS, Mannheim) and at the Berlin-Brandenburg Academy of Sciences (BBAW, Berlin). The focus is on the solutions developed for converting and representing the corpus in a TEI format.
Pogled u e-leksikografiju
(2015)
U radu se daje pregled temeljnih pojmova i klasifikacija u području e-leksikografije. Donosi se klasifikacija e-rječnika, prikazuje se leksikografski proces izrade e-rječnika te pregled najraširenijih sustava za izradu rječnika (DWS) i sustava za pretragu korpusa (CQS). Kao primjer dobre prakse detaljnije se opisuje mrežni rječnik elexiko (Institut za njemački jezik u Mannheimu): prikazuju se njegovi ciljevi i namjena, teorijske i metodološke postavke, moduli te mogućnosti uporabe. Kao moguća osnova za izradu korpusno utemeljenoga e-rječnika hrvatskoga jezika koji bi bio u skladu s najrecentnijim leksikografskim (i uopće lingvističkim) teorijama i praksama prikazuje se rad na mrežnome leksičko-semantičkome repozitoriju hrvatskoga jezika (baza semantičkih okvira, predodžbenih shema, kognitivnih primitiva i leksičkih jedinica) u okviru projekta Repozitorij metafora hrvatskoga jezika.
The article analyses data from a corpus of email-correspondence and chat protocols that describe the initial steps of romantic contacts. It shows that different types of silences are used strategically in the process of people getting to know each other. Five silence strategies within conversations are described and their functions are illustrated by typical examples.
Overview of the IGGSA 2016 Shared Task on Source and Target Extraction from Political Speeches
(2016)
We present the second iteration of IGGSA’s Shared Task on Sentiment Analysis for German. It resumes the STEPS task of IGGSA’s 2014 evaluation campaign: Source, Subjective Expression and Target Extraction from Political Speeches. As before, the task is focused on fine-grained sentiment analysis, extracting sources and targets with their associated subjective expressions from a corpus of speeches given in the Swiss parliament. The second iteration exhibits some differences, however; mainly the use of an adjudicated gold standard and the availability of training data. The shared task had 2 participants submitting 7 runs for the full task and 3 runs for each of the subtasks. We evaluate the results and compare them to the baselines provided by the previous iteration. The shared task homepage can be found at http://iggsasharedtask2016.github.io/.
We examine different features and classifiers for the categorization of opinion words into actor and speaker view. To our knowledge, this is the first comprehensive work to address sentiment views on the word level taking into consideration opinion verbs, nouns and adjectives. We consider many high-level features requiring only few labeled training data. A detailed feature analysis produces linguistic insights into the nature of sentiment views. We also examine how far global constraints between different opinion words help to increase classification performance. Finally, we show that our (prior) word-level annotation correlates with contextual sentiment views.
We present an approach to the new task of opinion holder and target extraction on opinion compounds. Opinion compounds (e.g. user rating or victim support) are noun compounds whose head is an opinion noun. We do not only examine features known to be effective for noun compound analysis, such as paraphrases and semantic classes of heads and modifiers, but also propose novel features tailored to this new task. Among them, we examine paraphrases that jointly consider holders and targets, a verb detour in which noun heads are replaced by related verbs, a global head constraint allowing inferencing between different compounds, and the categorization of the sentiment view that the head conveys.
The wdlpOst dictionary writing system to be presented in this paper has been developed for the specific purposes of a lexicographical project on German loanwords in the East Slavic languages Russian, Belarusian, and Ukrainian. The project’s main objectives are (i) to document those loanwords for which a cognate lexical borrowing from German is known in Polish and (ii) to establish possible borrowing pathways for these lexical items. In the first phase of the project, the collaborative client/server architecture of the wdlpOst system has been used for excerpting detailed lexicographical information from a large range of historical and contemporary East Slavic dictionaries, taking the entries in a large dictionary of German loanwords in Polish as a common frame of reference. For the project’s second phase, the wdlpOst system provides innovative tooling for compiling entries of the East Slavic loanwords. Most importantly, the numerous word sense definitions for a set of cognate loanwords, as excerpted from different lexicographical sources, are mapped onto a system of newly defined cross-language word senses; in a similar vein, the phonemic and graphemic variation in the loanwords and their derivatives is captured through a tool that abstracts from dictionary-specific idiosyncrasies.