Morphological approach

Xem 1-20 trên 60 kết quả Morphological approach
  • Table 52-4 Selected Common Dermatologic Conditions Dia gnosis mmon Co ual Us is Diagnos mmon Co al Usu Distributi on Morpholo gy Distributio Morpholog n y Ac ne vulgaris e, back Fac upper en closed Op Seborrh Tru nk, face Bro wn plaques with adherent, greasy and eic keratosis comedone s, erythemat ous papules, pustules, cysts scale; "stuck on" appearance Ros acea Blu sh area of thema, cheeks, nose, forehead, chin Ery Folliculi tisImpetigo hair- Any cular Folli telangiecta ses, papules, pustules bearing pustulesPap areaAnywh ules, ere vesicles, pustules, often...

    pdf10p konheokonmummim 30-11-2010 47 5   Download

  • We describe an approach to simultaneous tokenization and part-of-speech tagging that is based on separating the closed and open-class items, and focusing on the likelihood of the possible stems of the openclass words. By encoding some basic linguistic information, the machine learning task is simplified, while achieving stateof-the-art tokenization results and competitive POS results, although with a reduced tag set and some evaluation difficulties.

    pdf6p hongdo_1 12-04-2013 20 3   Download

  • Arabic handwriting recognition (HR) is a challenging problem due to Arabic’s connected letter forms, consonantal diacritics and rich morphology. In this paper we isolate the task of identification of erroneous words in HR from the task of producing corrections for these words. We consider a variety of linguistic (morphological and syntactic) and non-linguistic features to automatically identify these errors. Our best approach achieves a roughly ∼15% absolute increase in F-score over a simple but reasonable baseline. ...

    pdf10p hongdo_1 12-04-2013 19 3   Download

  • Most previous studies of morphological disambiguation and dependency parsing have been pursued independently. Morphological taggers operate on n-grams and do not take into account syntactic relations; parsers use the “pipeline” approach, assuming that morphological information has been separately obtained. However, in morphologically-rich languages, there is often considerable interaction between morphology and syntax, such that neither can be disambiguated without the other.

    pdf10p hongdo_1 12-04-2013 14 3   Download

  • A layered approach to information retrieval permits the inclusion of multiple search engines as well as multiple databases, with a natural language layer to convert English queries for use by the various search engines. The NLP layer incorporates morphological analysis, noun phrase syntax, and semantic expansion based on WordNet.

    pdf7p bunrieu_1 18-04-2013 13 3   Download

  • If unsupervised morphological analyzers could approach the effectiveness of supervised ones, they would be a very attractive choice for improving MT performance on low-resource inflected languages. In this paper, we compare performance gains for state-of-the-art supervised vs. unsupervised morphological analyzers, using a state-of-theart Arabic-to-English MT system.

    pdf6p nghetay_1 07-04-2013 17 2   Download

  • We present a novel scheme to apply factored phrase-based SMT to a language pair with very disparate morphological structures. Our approach relies on syntactic analysis on the source side (English) and then encodes a wide variety of local and non-local syntactic structures as complex structural tags which appear as additional factors in the training data. On the target side (Turkish), we only perform morphological analysis and disambiguation but treat the complete complex morphological tag as a factor, instead of separating morphemes. ...

    pdf11p hongdo_1 12-04-2013 20 2   Download

  • We propose a novel approach to translating from a morphologically complex language. Unlike previous research, which has targeted word inflections and concatenations, we focus on the pairwise relationship between morphologically related words, which we treat as potential paraphrases and handle using paraphrasing techniques at the word, phrase, and sentence level.

    pdf10p hongdo_1 12-04-2013 19 2   Download

  • We present a pointwise approach to Japanese morphological analysis (MA) that ignores structure information during learning and tagging. Despite the lack of structure, it is able to outperform the current state-of-the-art structured approach for Japanese MA, and achieves accuracy similar to that of structured predictors using the same feature set. We also find that the method is both robust to outof-domain data, and can be easily adapted through the use of a combination of partial annotation and active learning. ...

    pdf5p hongdo_1 12-04-2013 22 2   Download

  • Morphological segmentation has been shown to be beneficial to a range of NLP tasks such as machine translation, speech recognition, speech synthesis and information retrieval. Recently, a number of approaches to unsupervised morphological segmentation have been proposed. This paper describes an algorithm that draws from previous approaches and combines them into a simple model for morphological segmentation that outperforms other approaches on English and German, and also yields good results on agglutinative languages such as Finnish and Turkish. ...

    pdf8p hongvang_1 16-04-2013 14 2   Download

  • This paper describes our work on building Part-of-Speech (POS) tagger for Bengali. We have use Hidden Markov Model (HMM) and Maximum Entropy (ME) based stochastic taggers. Bengali is a morphologically rich language and our taggers make use of morphological and contextual information of the words. Since only a small labeled training set is available (45,000 words), simple stochastic approach does not yield very good results. In this work, we have studied the effect of using a morphological analyzer to improve the performance of the tagger. ...

    pdf4p hongvang_1 16-04-2013 14 2   Download

  • Separable verbs are verbs with prefixes which, depending on the syntactic context, can occur as one word written together or discontinuously. They occur in languages such as German and Dutch and constitute a problem for NLP because they are lexemes whose forms cannot always be recognized by dictionary lookup on the basis of a text word. Conventional solutions take a mixed lexical and syntactic approach. In this paper, we propose the solution offered by Word Manager, consisting of string-based recognition by means of rules of types also required for periphrastic inflection and clitics. ...

    pdf5p bunrieu_1 18-04-2013 17 2   Download

  • This paper discusses the supervised learning of morphology using stochastic transducers, trained using the ExpectationMaximization (EM) algorithm. Two approaches are presented: first, using the transducers directly to model the process, and secondly using them to define a similarity measure, related to the Fisher kernel method (Jaakkola and Haussler, 1998), and then using a Memory-Based Learning (MBL) technique. These are evaluated and compared on data sets from English, German, Slovene and Arabic. ...

    pdf8p bunmoc_1 20-04-2013 12 2   Download

  • A morphologic and morphosyntactic analyzer for the Italian language has been implemented in VM/Prolog 131 at the IBM Romc Scientific Center as part of a project on text understanding. Aim of this project is the development of a prototype which analyzes short narrative texts (press agency news) and gives a formal representation of their "meaning" as a set of first order logic expressions. Question answering features are also provided. The morphologic analyzer processes every word by means of a context free grammar, in order to obtain its morphologic and syntactic characteristics. ...

    pdf6p buncha_1 08-05-2013 22 2   Download

  • Partition-based morphology is an approach of finite-state morphology where a grammar describes a special kind of regular relations, which split all the strings of a given tuple into the same number of substrings. They are compiled in finite-state machines. In this paper, we address the question of merging grammars using different partitionings into a single finite-state machine. A morphological description may then be obtained by parallel or sequential application of constraints expressed on different partition notions (e.g. morpheme, phoneme, grapheme). ...

    pdf8p hongvang_1 16-04-2013 16 1   Download

  • We present an approach to using a morphological analyzer for tokenizing and morphologically tagging (including partof-speech tagging) Arabic words in one process. We learn classifiers for individual morphological features, as well as ways of using these classifiers to choose among entries from the output of the analyzer. We obtain accuracy rates on all tasks in the high nineties.

    pdf8p bunbo_1 17-04-2013 41 1   Download

  • In this paper, we present a new approach for word sense disambiguation (WSD) using an exemplar-based learning algorithm. This approach integrates a diverse set of knowledge sources to disambiguate word sense, including part of speech of neighboring words, morphological form, the unordered set of surrounding words, local collocations, and verb-object syntactic relation. We tested our WSD program, named LEXAS, on both a common data set used in previous work, as well as on a large sense-tagged corpus that we separately constructed. ...

    pdf8p bunmoc_1 20-04-2013 13 1   Download

  • We present a model of morphological processing which directly encodes prosodic constituency, a notion which is clearly crucial in many widespread morphological processes. The model has been implemented for the Australian language Warlpiri and has been successfully interfaced with a syntactic parser for that language (Brunson, 1986). We contrast our approach with approaches to morphological parsing in the KIMMO framework. 1.

    pdf8p bungio_1 03-05-2013 17 1   Download

  • This paper presents a feasibility study for implementing lexical morphology principles in a machine translation system in order to solve unknown words. Multilingual symbolic treatment of word-formation is seducing but requires an in-depth analysis of every step that has to be performed. The construction of a prototype is firstly presented, highlighting the methodological issues of such approach. Secondly, an evaluation is performed on a large set of data, showing the benefits and the limits of such approach. ...

    pdf9p bunthai_1 06-05-2013 11 1   Download

  • Named entity recognition for morphologically rich, case-insensitive languages, including the majority of semitic languages, Iranian languages, and Indian languages, is inherently more difficult than its English counterpart. Worse still, progress on machine learning approaches to named entity recognition for many of these languages is currently hampered by the scarcity of annotated data and the lack of an accurate part-of-speech tagger.

    pdf9p bunthai_1 06-05-2013 8 1   Download

CHỦ ĐỀ BẠN MUỐN TÌM

Đồng bộ tài khoản