Add to ORKGWe present an unsupervised system that exploits linguistic knowledge resources, namely English and German lexical databases and the World Wide Web, to identify English inclusions in German text. We describe experiments with this system and the corpus which was devel-oped for this task. We report the classifi-cation results of our system and compare them to the performance of a trained ma-chine learner in a series of in- and cross-domain experiments.
For one and a half years, the author and his team at Hiroshima University have been developing an on...
We present a statistical approach to text-based automatic language identification that focuses on di...
English is an international language, which has had great influence on other languages, including Ge...
Abstract. The use of lexicons and corpora advances both linguistic re-search and performance of curr...
This paper presents an unsupervised system that classies English inclusions in written text. It will...
Inclusions from other languages can be a significant source of errors for monolin-gual parsers. We s...
We describe an unsupervised semantic tagger, applied to German, but which could be used with any lan...
This paper explores the use of unlabeled data in a knowledge-poor approach to German NER. German is ...
International audienceLuxembourgish, embedded in a multilingual context on the divide between Romanc...
International audienceLuxembourgish, embedded in a multilingual context on the divide between Romanc...
In this paper, we present our approach to automatically extracting German terminology in the domain ...
A system for recognition and morphological classification of unknown German words is described. Giv...
In this paper we present four informed natural language watermark embedding methods, which operate o...
For one and a half years, the author and his team at Hiroshima University have been developing an on...
Parallel study of three very different languages- Hungarian. German and English- using text corpora ...
For one and a half years, the author and his team at Hiroshima University have been developing an on...
We present a statistical approach to text-based automatic language identification that focuses on di...
English is an international language, which has had great influence on other languages, including Ge...
Abstract. The use of lexicons and corpora advances both linguistic re-search and performance of curr...
This paper presents an unsupervised system that classies English inclusions in written text. It will...
Inclusions from other languages can be a significant source of errors for monolin-gual parsers. We s...
We describe an unsupervised semantic tagger, applied to German, but which could be used with any lan...
This paper explores the use of unlabeled data in a knowledge-poor approach to German NER. German is ...
International audienceLuxembourgish, embedded in a multilingual context on the divide between Romanc...
International audienceLuxembourgish, embedded in a multilingual context on the divide between Romanc...
In this paper, we present our approach to automatically extracting German terminology in the domain ...
A system for recognition and morphological classification of unknown German words is described. Giv...
In this paper we present four informed natural language watermark embedding methods, which operate o...
For one and a half years, the author and his team at Hiroshima University have been developing an on...
Parallel study of three very different languages- Hungarian. German and English- using text corpora ...
For one and a half years, the author and his team at Hiroshima University have been developing an on...
We present a statistical approach to text-based automatic language identification that focuses on di...
English is an international language, which has had great influence on other languages, including Ge...