The Dravidian family is one of the most widely spoken set of languages in the world, yet there are very few annotated resources available to NLP researchers. To remedy this, we create DravMorph, a corpus annotated for morphological segmentation and part-of-speech. Also, we exploit novel features and higher-order models to achieve promising results on these corpora on both tasks, beating techniques proposed in the literature by as much as 4 points in segmentation F1
The Dravidian language family consists of about 80 varieties (Hammarström H. 2016 <i>Glottolog 2.7</...
The Dravidian language family consists of about 80 varieties (Hammarström H. 2016 Glottolog 2.7) spo...
This paper deals with lexicon and system development for word segmentation in Bangla language.Our go...
The Dravidian family is one of the most widely spoken set of languages in the world, yet there are...
In this paper we describe a method to morphologically segment highly agglutinating and inflectional ...
ABSTRACT Work on morphological analyzers (which are computer programmes) for Indian languages is con...
In this paper a methodology for learning the complex agglutinative morphology of some Indian languag...
This work is aimed at building an adaptable frame-based system for processing Dravidian languages. T...
Morphological analysis is an essential component in Natural Language Processing (NLP) applications r...
This paper presents an open source and extendable Morphological Analyser cum Generator (MAG) for Tam...
Language documentation involves linguistic analysis of the collected material, which is typically do...
For more than 30 years, there have been renewed interests in computational morphology resulting in n...
Morphological analyzer is a fundamental tool in Natural Language Processing (NLP) that generates the...
We describe an approach for morphological analysis combining a rule-based word level morphological a...
Morph length is one of the indicative feature that helps learning the morphology of languages, in pa...
The Dravidian language family consists of about 80 varieties (Hammarström H. 2016 <i>Glottolog 2.7</...
The Dravidian language family consists of about 80 varieties (Hammarström H. 2016 Glottolog 2.7) spo...
This paper deals with lexicon and system development for word segmentation in Bangla language.Our go...
The Dravidian family is one of the most widely spoken set of languages in the world, yet there are...
In this paper we describe a method to morphologically segment highly agglutinating and inflectional ...
ABSTRACT Work on morphological analyzers (which are computer programmes) for Indian languages is con...
In this paper a methodology for learning the complex agglutinative morphology of some Indian languag...
This work is aimed at building an adaptable frame-based system for processing Dravidian languages. T...
Morphological analysis is an essential component in Natural Language Processing (NLP) applications r...
This paper presents an open source and extendable Morphological Analyser cum Generator (MAG) for Tam...
Language documentation involves linguistic analysis of the collected material, which is typically do...
For more than 30 years, there have been renewed interests in computational morphology resulting in n...
Morphological analyzer is a fundamental tool in Natural Language Processing (NLP) that generates the...
We describe an approach for morphological analysis combining a rule-based word level morphological a...
Morph length is one of the indicative feature that helps learning the morphology of languages, in pa...
The Dravidian language family consists of about 80 varieties (Hammarström H. 2016 <i>Glottolog 2.7</...
The Dravidian language family consists of about 80 varieties (Hammarström H. 2016 Glottolog 2.7) spo...
This paper deals with lexicon and system development for word segmentation in Bangla language.Our go...