848,054 research outputs found
Morphological Analysis of Compound Adjectives in Sentences in Brooke\u27s Heartland
This research was aimed at finding out the patterns of compound adjectives used in Heartland novel and the way on how Brooke (2001) developed them in her writing. To reach the objective, the writer focused on attributive adjectives in every sentence. Content analysis approach was applied to analyze the data. The writer found that there are eight patterns based on the morphological processes happened. Seven of those patterns agree with theory by Delahunty and Garvey (2010), while one pattern remaining includes irregular compound adjective. The eight patterns of compound adjectives consist of: A-A (54); Adv-A (11); A-N (5); N-A (5); V-N (2); P-N (1); V-A (1); and irregular compound adjective (2). Furthermore, Brooke (2001) wrote those compound adjectives in some different ways: putting commas (,), giving hyphen (-), ordering according to the rules, putting space, or writing closely. At the end, these findings are expected to give contribution to language learning, specifically writing descriptive paragraph. Students will have more detailed and vivid writing which can arise the emotional feelings of the readers only by imitating and adjusting the pattern and the way of writing compound adjectives.
Keywords: Morphology; Compound Adjective; Patter
ERRORS BY AUTO-MORPHOLOGICAL ANALYSIS IN A CHILDREN STORY CORPUS: AN EVALUATION OF MORPHIND PROGRAM
Indonesian Morphological Tool, Morphind, is meant to make a proper morphological analysis before doing further automatic language processing.Morphind is applied to enrich raw Indonesian text with morphological information, the preprocessing stage of an Indonesian corpus. In this study, the data is obtained from children's stories in the website ceritaanak.org by taking 500 types of total 2101 types. The purpose of this study is to identify and classify the types of errors present in data processing using morphind program. In the analalysis I uses the method Introspective and Dictionary Indonesian (KBBI) to validate the analysis. The findings of this research suggest that there are still many aspects that can be improved about morphind. Recommendations are fixing the data base especially for OOV (out of vocabulary) and dictionary accuracy, improving the display for the Allomorph, and improving the algorithm for morpheme segmentation
Morphological Analysis as Classification: an Inductive-Learning Approach
Morphological analysis is an important subtask in text-to-speech conversion,
hyphenation, and other language engineering tasks. The traditional approach to
performing morphological analysis is to combine a morpheme lexicon, sets of
(linguistic) rules, and heuristics to find a most probable analysis. In
contrast we present an inductive learning approach in which morphological
analysis is reformulated as a segmentation task. We report on a number of
experiments in which five inductive learning algorithms are applied to three
variations of the task of morphological analysis. Results show (i) that the
generalisation performance of the algorithms is good, and (ii) that the lazy
learning algorithm IB1-IG performs best on all three tasks. We conclude that
lazy learning of morphological analysis as a classification task is indeed a
viable approach; moreover, it has the strong advantages over the traditional
approach of avoiding the knowledge-acquisition bottleneck, being fast and
deterministic in learning and processing, and being language-independent.Comment: 11 pages, 5 encapsulated postscript figures, uses non-standard NeMLaP
proceedings style nemlap.sty; inputs ipamacs (international phonetic
alphabet) and epsf macro
On Generating Combilex Pronunciations via Morphological Analysis
Combilex is a high-quality lexicon that has been developed specifically for speech technology purposes and recently released by CSTR. Combilex benefits from many advanced features. This paper explores one of these: the ability to generate fully-specified transcriptions for morphologically derived words automatically. This functionality was originally implemented to encode the pronunciations of derived words in terms of their constituent morphemes, thus accelerating lexicon development and ensuring a high level of consistency. In this paper, we propose this method of modelling pronunciations can be exploited further by combining it with a morphological parser, thus yielding a method to generate full transcriptions for unknown derived words. Not only could this accelerate adding new derived words to Combilex, but it could also serve as an alternative to conventional letter-to-sound rules. This paper presents preliminary work indicating this is a promising direction
Automatic quantitative morphological analysis of interacting galaxies
The large number of galaxies imaged by digital sky surveys reinforces the
need for computational methods for analyzing galaxy morphology. While the
morphology of most galaxies can be associated with a stage on the Hubble
sequence, morphology of galaxy mergers is far more complex due to the
combination of two or more galaxies with different morphologies and the
interaction between them. Here we propose a computational method based on
unsupervised machine learning that can quantitatively analyze morphologies of
galaxy mergers and associate galaxies by their morphology. The method works by
first generating multiple synthetic galaxy models for each galaxy merger, and
then extracting a large set of numerical image content descriptors for each
galaxy model. These numbers are weighted using Fisher discriminant scores, and
then the similarities between the galaxy mergers are deduced using a variation
of Weighted Nearest Neighbor analysis such that the Fisher scores are used as
weights. The similarities between the galaxy mergers are visualized using
phylogenies to provide a graph that reflects the morphological similarities
between the different galaxy mergers, and thus quantitatively profile the
morphology of galaxy mergers.Comment: Astronomy & Computing, accepte
Morphonette: a morphological network of French
This paper describes in details the first version of Morphonette, a new
French morphological resource and a new radically lexeme-based method of
morphological analysis. This research is grounded in a paradigmatic conception
of derivational morphology where the morphological structure is a structure of
the entire lexicon and not one of the individual words it contains. The
discovery of this structure relies on a measure of morphological similarity
between words, on formal analogy and on the properties of two morphological
paradigms
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