Add to ORKGLanguage documentation involves linguistic analysis of the collected material, which is typically done manually. Automatic methods for language processing usually require large corpora. The method presented in this paper uses techniques from bioinformatics and contextual information to morphologically analyze raw text corpora. This paper presents initial results of the method when applied on a small Kilivila corpus
A linguist uses various kinds of linguistic data – both text corpora or text collections and dictio...
This article surveys resource-light monolingual approaches to morphological analysis and tagging. Wh...
We present two methods for unsupervised segmentation of words into morpheme-like units. The model ...
Language documentation involves linguistic analysis of the collected material, which is typically do...
The development of rich, multi-lingual corpora is essential for enabling new types of large-scale in...
This thesis work introduces an approach to unsupervised learning of morphological structure of human...
A core issue that hampers development and use of language technology for underresourced and morpholo...
Proceedings of the 16th Nordic Conference of Computational Linguistics NODALIDA-2007. Editors: Jo...
This thesis contains work on a specific problem in field of LanguageTechnology. The problem can be d...
We describe a knowledge and labor-light system for morphological analysis of fusional languages, exe...
In Natural Language Processing (NLP), morphological analyser is one of a very basic processing tool ...
This article surveys work on Unsupervised Learning of Morphology. We define Unsupervised Learning of...
This article presents an unsupervised morphological analysis algorithm to segment words into roots a...
We describe an approach for morphological analysis combining a rule-based word level morphological a...
The morphology of a language is a knowledge of the ways in which the language’s words can change in ...
A linguist uses various kinds of linguistic data – both text corpora or text collections and dictio...
This article surveys resource-light monolingual approaches to morphological analysis and tagging. Wh...
We present two methods for unsupervised segmentation of words into morpheme-like units. The model ...
Language documentation involves linguistic analysis of the collected material, which is typically do...
The development of rich, multi-lingual corpora is essential for enabling new types of large-scale in...
This thesis work introduces an approach to unsupervised learning of morphological structure of human...
A core issue that hampers development and use of language technology for underresourced and morpholo...
Proceedings of the 16th Nordic Conference of Computational Linguistics NODALIDA-2007. Editors: Jo...
This thesis contains work on a specific problem in field of LanguageTechnology. The problem can be d...
We describe a knowledge and labor-light system for morphological analysis of fusional languages, exe...
In Natural Language Processing (NLP), morphological analyser is one of a very basic processing tool ...
This article surveys work on Unsupervised Learning of Morphology. We define Unsupervised Learning of...
This article presents an unsupervised morphological analysis algorithm to segment words into roots a...
We describe an approach for morphological analysis combining a rule-based word level morphological a...
The morphology of a language is a knowledge of the ways in which the language’s words can change in ...
A linguist uses various kinds of linguistic data – both text corpora or text collections and dictio...
This article surveys resource-light monolingual approaches to morphological analysis and tagging. Wh...
We present two methods for unsupervised segmentation of words into morpheme-like units. The model ...