Add to ORKGIn this paper we describe a morphological analy-sis method based on a maximum entropy model. This method uses a model that can not only consult a dictionary with a large amount of lex-ical information but can also identify unknown words by learning certain characteristics. The model has the potential to overcome the un-known word problem.
A NLP strategy is proposed for immediate run-time dealing with the open-endedness of the vocabulary....
In this paper, a supervised learning system of word sense disambiguation is presented. It is based o...
Morphological analysis (finding the component morphemes of a word and tagging morphemes with part-of...
We propose a novel lexicon acquirer that works in concert with the morphological ana-lyzer and has t...
In this paper, we discuss lemma identification in Japanese morphological analysis, which is crucial ...
To solve the unknown morpheme problem in Japanese morphological analysis, we previously proposed a n...
This paper proposes a new method of stochastic morphological analysis for Japanese texts which utili...
This paper describes a method of analysing words through morphological decomposition when the lexico...
Computational morphology is a core component in many different types of natural language processing,...
For languages whose character set is very large and whose orthography does not require spac-ing betw...
We present a new morphological analy-sis model that considers semantic plausi-bility of word sequenc...
Abstract Among the language texts in natural language, Chinese texts are written in a continuous way...
The concept of maximum entropy can be traced back along multiple threads to Biblical times. Only rec...
Determining optimal units of representing morphologically complex words in the mental lexicon is a c...
The conventional n-gram language model exploits only the immediate context of historical words witho...
A NLP strategy is proposed for immediate run-time dealing with the open-endedness of the vocabulary....
In this paper, a supervised learning system of word sense disambiguation is presented. It is based o...
Morphological analysis (finding the component morphemes of a word and tagging morphemes with part-of...
We propose a novel lexicon acquirer that works in concert with the morphological ana-lyzer and has t...
In this paper, we discuss lemma identification in Japanese morphological analysis, which is crucial ...
To solve the unknown morpheme problem in Japanese morphological analysis, we previously proposed a n...
This paper proposes a new method of stochastic morphological analysis for Japanese texts which utili...
This paper describes a method of analysing words through morphological decomposition when the lexico...
Computational morphology is a core component in many different types of natural language processing,...
For languages whose character set is very large and whose orthography does not require spac-ing betw...
We present a new morphological analy-sis model that considers semantic plausi-bility of word sequenc...
Abstract Among the language texts in natural language, Chinese texts are written in a continuous way...
The concept of maximum entropy can be traced back along multiple threads to Biblical times. Only rec...
Determining optimal units of representing morphologically complex words in the mental lexicon is a c...
The conventional n-gram language model exploits only the immediate context of historical words witho...
A NLP strategy is proposed for immediate run-time dealing with the open-endedness of the vocabulary....
In this paper, a supervised learning system of word sense disambiguation is presented. It is based o...
Morphological analysis (finding the component morphemes of a word and tagging morphemes with part-of...