This article concentrates on the question To what extent can automatic morphological segmentation be achieved without the use of a lexicon? This question seems to us important in two respects, first, because of new insights into language structure, and secondly, because there are applications (for example, in information retrieval) which require nothing more than a morphological segmentation and where it turns out to be very costly to construct a lexicon We describe here two non-lexical segmentation algorithms which we developed for Spanish and German, respectively The approach adopted for Spanish is qualitative in that it uses rules on short grapheme sequences which carry information of morpheme boundaries The one adopted for German is qua...
The use of morphology is particularly interesting in the context of statistical machine translation ...
The issue of this paper is to present the advantages of a morphological tagging of English in order ...
This article surveys resource-light monolingual approaches to morphological analysis and tagging. Wh...
VK: Kaski, S.This article presents a comparative study of a subfield of morphology learning referred...
We present labeled morphological segmentation—an alternative view of morphological processing that u...
Morphological analysis (finding the component morphemes of a word and tagging morphemes with part-of...
| openaire: EC/H2020/771113/EU//FoTranIn our submission to the SIGMORPHON 2022 Shared Task on Morphe...
National audienceWe describe a method that automatically segments words into morphs. The algorithm o...
The goal of this paper is to review the main results offered by someexperimental paradigms to suppor...
We present a simple algorithm that is also psychologically plausible to perform un-supervised learni...
In this paper we introduce (i) a new method for morphological segmentation of part of speech labelle...
The guidelines for morphological annotation contain the layers that are necessary for understanding ...
Many modern natural language processing applications would benefit from automatic morphological anal...
How can infants detect where words or morphemes start and end in the continuous stream of speech? Pr...
Morphological tasks use large multi-lingual datasets that organize words into inflection tables, whi...
The use of morphology is particularly interesting in the context of statistical machine translation ...
The issue of this paper is to present the advantages of a morphological tagging of English in order ...
This article surveys resource-light monolingual approaches to morphological analysis and tagging. Wh...
VK: Kaski, S.This article presents a comparative study of a subfield of morphology learning referred...
We present labeled morphological segmentation—an alternative view of morphological processing that u...
Morphological analysis (finding the component morphemes of a word and tagging morphemes with part-of...
| openaire: EC/H2020/771113/EU//FoTranIn our submission to the SIGMORPHON 2022 Shared Task on Morphe...
National audienceWe describe a method that automatically segments words into morphs. The algorithm o...
The goal of this paper is to review the main results offered by someexperimental paradigms to suppor...
We present a simple algorithm that is also psychologically plausible to perform un-supervised learni...
In this paper we introduce (i) a new method for morphological segmentation of part of speech labelle...
The guidelines for morphological annotation contain the layers that are necessary for understanding ...
Many modern natural language processing applications would benefit from automatic morphological anal...
How can infants detect where words or morphemes start and end in the continuous stream of speech? Pr...
Morphological tasks use large multi-lingual datasets that organize words into inflection tables, whi...
The use of morphology is particularly interesting in the context of statistical machine translation ...
The issue of this paper is to present the advantages of a morphological tagging of English in order ...
This article surveys resource-light monolingual approaches to morphological analysis and tagging. Wh...