Морфологическая дизамбигуация

Automatic text tagging is an important component in higher level analysis of text corpora, and its output can be used in many natural language processing applica- tions. In languages like …...

Korean as an agglutinative language shows its proper types of difficulties in morphological disambiguation, since a large number of its ambiguities comes from the stemming while most of ambiguities in …...

This article describes the current state of syntactic analysis of Estonian using Constraint Grammar. Constraint Gram- mar framework divides parsing into two different modules: morphological disam- biguation and determination of …...

Finite-state approaches have been highly successful at describ- ing the morphological processes of many languages. Such approaches have largely focused on modeling the phone- or character-level processes that generate candidate …...

Morphological disambiguation is the pro- cess of assigning one set of morphologi- cal features to each individual word in a text. When the word is ambiguous (there are several possible …...

In this paper, we present a rule based model for morphological disambiguation of Turkish. The rules are generated by a novel decision list learning algorithm us- ing supervised training. Morphological …...

In morphologically rich languages, should morphological and syntactic disambiguation be treated sequentially or as a sin- gle problem? We describe several efficient, probabilistically- interpretable ways to apply joint inference to …...

Morphological disambiguation proceeds in 2 stages: (1) an analyzer provides all possible analyses for a given token and (2) a stochastic disambiguation module picks the most likely analysis in context. …...

Most previous studies of morphological dis- ambiguation and dependency parsing have been pursued independently. Morphological taggers operate on n-grams and do not take into account syntactic relations; parsers use the …...

AbstractThis paper introduces a set of freely available, open-source tools for Turkish that are built around TRmorph, a morphological analyzer introduced earlier in Coltekin (2010). The article first provides an …...

AbstractLanguages with rich morphology often introduce sparsity in language processing tasks. While morphological analyzers can reduce this sparsity by providing morpheme-level analyses for words, they will often introduce ambiguity by …...

AbstractLanguages with productive morphology pose problems for language models that generate words from a fixed vocabulary. Although character-based models allow any possible word type to be generated, they are linguistically …...

AbstractIn the paper we present the latest changes introduce to Inforex — a web-based system for qualitative and collaborative text corpora annotation and analysis. One of the most important news …...

AbstractMorphologically Rich Languages (MRLs) such as Arabic, Hebrew and Turkish often require Morphological Disambiguation (MD), i.e., the prediction of morphological decomposition of tokens into morphemes, early in the pipeline. Neural …...

AbstractIn this paper we present the first full morphological analysis and disambiguation system for Gulf Arabic. We use an existing state-of-the-art morphological disambiguation system to investigate the effects of different …...

AbstractThis paper presents a language-independent approach for morphological disambiguation which has been regarded as an extension of POS tagging, jointly predicting complex morphological tags. In the proposed approach, all words, …...