نتایج جستجو برای: morphological analysis

تعداد نتایج: 2919427  

Journal: :Polibits 2009
Cerstin Mahlow Michael Piotrowski

We present a morphological analyzer for Spanish called SMM. SMM is implemented in the grammar development framework Malaga, which is based on the formalism of LeftAssociative Grammar. We briefly present the Malaga framework, describe the implementation decisions for some interesting morphological phenomena of Spanish, and report on the evaluation results from the analysis of corpora. SMM was or...

2014
B. Hettige A. S. Karunananda

Machine Translation involves multiple phases including morphological, syntax and semantic analysis of source and target languages. Despite there are numerous approaches to machine translations, handling of semantics has been an unsolved research challenge. We have been researching to exploit power of multiagent Systems technology for machine translation by extending our rule-based machine trans...

2005
Nicolas Stroppa François Yvon

Analogical learning is based on a twostep inference process: (i) computation of a structural mapping between a new and a memorized situation; (ii) transfer of knowledge from the known to the unknown situation. This approach requires the ability to search for and exploit such mappings, hence the need to properly define analogical relationships, and to efficiently implement their computation. In ...

Journal: :Proceedings of the conference. Association for Computational Linguistics. North American Chapter. Meeting 2015
Kyle Gorman Steven Bedrick Géza Kiss Eric Morley Rosemary Ingham Metrah Mohammed Katina Papadakis Jan P. H. van Santen

Quantitative analysis of clinical language samples is a powerful tool for assessing and screening developmental language impairments, but requires extensive manual transcription, annotation, and calculation, resulting in error-prone results and clinical underutilization. We describe a system that performs automated morphological analysis needed to calculate statistics such as the mean length of...

2007
A. Tehari A. Bouras J. M. Brun

The form features recognition has often been studied in the context of manufacturing processes (generally machining processes). Therefore, this approach is not well suited for concurrent engineering, where co-designers should be able to interpret the samèform' as diierent`features' and to add their design semantics to the previous ones. However, they can also see new features that may include f...

2017
Vinit Ravishankar Francis M. Tyers

This paper describes the development of free/open-source morphological descriptions for Marathi, an Indo-Aryan language spoken in the state of Maharashtra in India. We describe the conversion and usage of an existing Latin-based lexicon for our Devanagari-based analyser, taking into account the distinction between full vowels and diacritics, that is not adequately captured by the Latin. Marathi...

1992
Vieri Samek-Lodovici

In most analyses, a simple process tackles the two issues simultaneously. Inevitably, the strong cross-linguistic variation associated with issue (b) is tamed by means of parameters internal to the gemination process itself (see, among others, Lombardy and McCarthy (1990) for a crosslinguistic analysis; Archangeli (1987) and Hohulin and Kenstowicz (1979) for Keley-i; Hardy and Montler (1988a, 1...

2004
Young-Suk Lee

We present a novel morphological analysis technique which induces a morphological and syntactic symmetry between two languages with highly asymmetrical morphological structures to improve statistical machine translation qualities. The technique pre-supposes fine-grained segmentation of a word in the morphologically rich language into the sequence of prefix(es)-stem-suffix(es) and part-of-speech...

2016
Katharina Kann Ryan Cotterell Hinrich Schütze

Canonical morphological segmentation aims to divide words into a sequence of standardized segments. In this work, we propose a character-based neural encoderdecoder model for this task. Additionally, we extend our model to include morphemelevel and lexical information through a neural reranker. We set the new state of the art for the task improving previous results by up to 21% accuracy. Our ex...

2001
Corinne Vachier

This paper presents a morphological scale-space approach to the problem of feature extraction. The method relies on two steps: a hierarchical simplification step based on pyramids of morphological operators and a feature extraction step consisting in measuring the persistence of each image structure through the simplification scales. Specific scalespace properties are needed: the features shoul...

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