SwissAdmin: A multilingual tagged parallel corpus of press releases
نویسندگان
چکیده
SwissAdmin is a new multilingual corpus of press releases from the Swiss Federal Administration, available in German, French, Italian and English. We provide SwissAdmin in three versions: (i) plain texts of approximately 6 to 8 million words per language; (ii) sentence-aligned bilingual texts for each language pair; (iii) a part-of-speech-tagged version consisting of annotations in both the Universal tagset and the richer Fips tagset, along with grammatical functions, verb valencies and collocations. The SwissAdmin corpus is freely available at www.latl.unige.ch/swissadmin.
منابع مشابه
Developing Parallel Sense-tagged Corpora with Wordnets
Semantically annotated corpora play an important role in natural language processing. This paper presents the results of a pilot study on building a sense-tagged parallel corpus, part of ongoing construction of aligned corpora for four languages (English, Chinese, Japanese, and Indonesian) in four domains (story, essay, news, and tourism) from the NTU-Multilingual Corpus. Each subcorpus is firs...
متن کاملUsing Parallel Corpora for Word Sense Disambiguation
Word Sense Disambiguation (WSD) is the Natural Language Processing (NLP) task that consists in selecting the correct sense of a polysemous word in a given context. Most state-of-the-art WSD systems are supervised classifiers that are trained on manually sense-tagged corpora, which are very time-consuming and expensive to build. In order to overcome this acquisition bottleneck (sense-tagged corp...
متن کاملBuilding The Sense-Tagged Multilingual Parallel Corpus
Sense-annotated parallel corpora play a crucial role in natural language processing. This paper introduces our progress in creating such a corpus for Asian languages using English as a pivot, which is the first such corpus for these languages (Chinese, Japanese and Indonesian). Two sets of tools have been developed for sequential and targeted tagging, which are also easy to be set up for any ne...
متن کاملAn Unsupervised Method for Multilingual Word Sense Tagging Using Parallel Corpora: A Preliminary Investigation
With an increasing number of languages making their way to our desktops everyday via the Internet, researchers have come to realize the lack of linguistic knowledge resources for scarcely represented/studied languages. In an attempt to bootstrap some of the required linguistic resources for some of those languages, this paper presents an unsupervised method for automatic multilingual word sense...
متن کاملAn Unsupervised Method For Multilingual Word Sense Tagging Using Parallel Corpora
With an increasing number of languages making their way to our desktops everyday via the Internet, researchers have come to realize the lack of linguistic knowledge resources for scarcely represented/studied languages. In an attempt to bootstrap some of the required linguistic resources for some of those languages, this paper presents an unsupervised method for automatic multilingual word sense...
متن کامل