Морфологиялық тұрғыдан бай тілдер

The described tagger is b,'used on a hidden Markov model and uses tags composed of features such as part- of speech, gender, etc. 'l?he contextual probability of a tag (state …...

Statistical machine translation is quite ro- bust when it comes to the choice of in- put representation. It only requires con- sistency between training and testing. As a result, there …...

We analyze subword-based language models (LMs) in large-vocabulary continuous speech recognition across four “morphologically rich” languages: Finnish, Estonian, Turkish, and Egyptian Colloquial Arabic. By estimating n-gram LMs over sequences of …...

While the intuition that morphological pre- processing of languages in various applica- tions can be beneficial appears to be often true, especially in the case of morphologi- cally richer languages, …...

. In this paper, we propose a new linguistic approach for sentiment analysis of Korean. In order to overcome shortcomings of previous works confined to statistical methods, we make effective …...

AbstractThe aim of this paper is to contribute to the debate on the issues raised by Morphologically Rich Languages, and more precisely to investigate, in a cross-paradigm perspective, the influence …...

Corpus-based thesaurus construction for Mor- phologically Rich Languages (MRL) is a com- plex task, due to the morphological variability of MRL. In this paper we explore alternative term representations, complemented …...

AbstractJoint morphological and syntactic analysis has been proposed as a way of improving parsing accuracy for richly inflected languages. Starting from a transition-based model for joint part-of-speech tagging and dependency …...

AbstractString segmentation is an important and recurring problem in natural language processing and other domains. For morphologically rich languages, the amount of different word forms caused by morphological processes like …...

The paper introduces an LR-based algorithm for efficient phrase structure parsing of morpholog- ically rich languages. The algorithm generalizes lexicalized parsing (Collins, 2003) by allowing a structured representation of the …...

We introduce three techniques for improv- ing constituent parsing for morphologi- cally rich languages. We propose a novel approach to automatically find an optimal preterminal set by clustering morphologi- cal …...

We present extensions to a continuous- state dependency parsing method that makes it applicable to morphologically rich languages. Starting with a high- performance transition-based parser that uses long short-term memory …...

In this paper we present an approach to re- duce data sparsity problems when translat- ing from morphologically rich languages into less inflected languages by selectively stemming certain word types. …...

AbstractWe present an efficient model selection method using boosting for transition-based constituency parsing. It is designed for exploring a high-dimensional search space, defined by a large set of feature templates, …...

AbstractParsing texts into universal dependencies (UD) in realistic scenarios requires infrastructure for the morphological analysis and disambiguation (MA&D) of typologically different languages as a first tier. MA&D is particularly challenging …...

We describe a search algorithm for opti- mizing the number of latent states when estimating latent-variable PCFGs with spectral methods. Our results show that contrary to the common belief that …...

Neural machine translation (NMT) models are conventionally trained with fixed-size vocabu- laries to control the computational complexity and the quality of the learned word represen- tations. This, however, limits the …...

Automatic thesaurus construction for Modern Hebrew is a complicated task, due to its high degree of inflectional ambiguity. Linguistics tools, including morphological analyzers, part-of-speech taggers and parsers often have limited …...

Learning word vectors from character level is an effective method to improve word embeddings for morphologically rich languages. However, most of these techniques have been applied to languages that are …...

We present PALMYRA, a platform independent graphical dependency tree visualization and editing software. PALMYRA has been specifically designed to support the complexities of syntactic annotation of morphologically rich languages, especially …...

AbstractIt has been exactly a decade since the first establishment of SPMRL, a research initiative unifying multiple research efforts to address the peculiar challenges of Statistical Parsing for Morphologically-Rich Languages …...

AbstractThe scarcity of parallel data is a major limitation for Neural Machine Translation (NMT) systems, in particular for translation into morphologically rich languages (MRLs). An important way to overcome the …...