The first step of text analysis is tagging word forms with morphological tags. These tags describe the part of speech, person (where applicable), number, etc. This information is used for further analysis of the text. Tags are automatically assigned by looking up the word form in the morphological dictionary. This gives good results for the Czech language because the word forms express the morphological categories to some extent. Unlike English words, Czech words often change their ending when their morphological category changes. Words that are not present in the dictionary can be tagged with a guesser. The guesser described here uses the similarity of unrecognized words with words already present in the dictionary
This paper proposes a new statistic-based method of segmenting words by identification of a suffix. ...
We present a novel corpus-based approach to lemmatization of unknown words. The tool learns affix pa...
We describe an approach for morphological analysis combining a rule-based word level morphological a...
Presented here is a system for an automatic analysis of Czech morphology mainly based on pattern rec...
Práce popisuje přidělování morfologických značek předem neznámým slovům na základě podobnosti se slo...
One of the very first steps in automatic processing of Czech text is morphological analysis and lemm...
This work continues in implementational and experimental project Morče, which aimed to create the be...
This thesis deals with analysis of czech language and tries to enlarge limited derivative extension ...
Procedure of automatic tagging: tokenization and segmentation, morphological analysis and disambigua...
The MORČE tagger is a software for morphological disambiguation (part-of-speech tagging) of Czech te...
Aim of the presented work is to explore possibility of automatic morphological paradigms assignment ...
Detailed morphological description of word forms represents one of the most important conditions of ...
Morphological annotation constitutes essential, very useful and very common linguistic information p...
Theaimofthisthesisistogetacquaintedwithmethodsofmorphologicalanalysis,representation of data of morp...
Czech language is inflective, that is one ending/suffix cumulates many categories. Many words (espec...
This paper proposes a new statistic-based method of segmenting words by identification of a suffix. ...
We present a novel corpus-based approach to lemmatization of unknown words. The tool learns affix pa...
We describe an approach for morphological analysis combining a rule-based word level morphological a...
Presented here is a system for an automatic analysis of Czech morphology mainly based on pattern rec...
Práce popisuje přidělování morfologických značek předem neznámým slovům na základě podobnosti se slo...
One of the very first steps in automatic processing of Czech text is morphological analysis and lemm...
This work continues in implementational and experimental project Morče, which aimed to create the be...
This thesis deals with analysis of czech language and tries to enlarge limited derivative extension ...
Procedure of automatic tagging: tokenization and segmentation, morphological analysis and disambigua...
The MORČE tagger is a software for morphological disambiguation (part-of-speech tagging) of Czech te...
Aim of the presented work is to explore possibility of automatic morphological paradigms assignment ...
Detailed morphological description of word forms represents one of the most important conditions of ...
Morphological annotation constitutes essential, very useful and very common linguistic information p...
Theaimofthisthesisistogetacquaintedwithmethodsofmorphologicalanalysis,representation of data of morp...
Czech language is inflective, that is one ending/suffix cumulates many categories. Many words (espec...
This paper proposes a new statistic-based method of segmenting words by identification of a suffix. ...
We present a novel corpus-based approach to lemmatization of unknown words. The tool learns affix pa...
We describe an approach for morphological analysis combining a rule-based word level morphological a...