Linking of words

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  • Tài liệu Pronunciation Practice 2: Part 2 continues to introduce to you the pronunciation, spelling, accents of words such as Linking of words, again, see-if, hand-egg, up-hand, hot-saw, home-saw, foot-put, bird, ... Invite you to welcome readers to capture more detailed content.

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  • The API computes semantic relatedness by: 1. taking a pair of words as input; 2. retrieving the Wikipedia articles they refer to (via a disambiguation strategy based on the link structure of the articles); 3. computing paths in the Wikipedia categorization graph between the categories the articles are assigned to; 4. returning as output the set of paths found, scored according to some measure definition. The implementation includes path-length (Rada et al., 1989; Wu & Palmer, 1994; Leacock & Chodorow, 1998), information-content (Resnik, 1995; Seco et al.

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  • In this project an approach based on Wikipedia link structure for word sense Disambiguation is presented and evaluated. This paper describes a method for creating sense tagged data using Wikipedia as a source of sense semantic annotations. Word sense disambiguation (WSD) is the ability to identify the meaning of words in context in a computational manner.

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  • We present a global joint model for lemmatization and part-of-speech prediction. Using only morphological lexicons and unlabeled data, we learn a partiallysupervised part-of-speech tagger and a lemmatizer which are combined using features on a dynamically linked dependency structure of words. We evaluate our model on English, Bulgarian, Czech, and Slovene, and demonstrate substantial improvements over both a direct transduction approach to lemmatization and a pipelined approach, which predicts part-of-speech tags before lemmatization. ...

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  • To segment texts in thematic units, we present here how a basic principle relying on word distribution can be applied on different kind of texts. We start from an existing method well adapted for scientific texts, and we propose its adaptation to other kinds of texts by using semantic links between words. These relations are found in a lexical network, automatically built from a large corpus. We will compare their results and give criteria to choose the more suitable method according to text characteristics. ...

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  • We describe a method for obtaining subject-dependent word sets relative to some (subjecO domain. Using the subject classifications given in the machine-readable version of Longman's Dictionary of Contemporary English, we established subject-dependent cooccurrence links between words of the defining vocabulary to construct these "neighborhoods". Here, we describe the application of these neighborhoods to information retrieval, and present a method of word sense disambiguation based on these co-occurrences, an extension of previous work. ...

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  • This paper proposes a new indicator of text structure, called the lexical cohesion profile (LCP), which locates segment boundaries in a text. A text segment is a coherent scene; the words in a segment a~e linked together via lexical cohesion relations. LCP records mutual similarity of words in a sequence of text. The similarity of words, which represents their cohesiveness, is computed using a semantic network. Comparison with the text segments marked by a number of subjects shows that LCP closely correlates with the human judgments.

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  • This paper presents results from the first statistical dependency parser for Turkish. Turkish is a free-constituent order language with complex agglutinative inflectional and derivational morphology and presents interesting challenges for statistical parsing, as in general, dependency relations are between “portions” of words – called inflectional groups. We have explored statistical models that use different representational units for parsing.

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  • Finally, a few words of caution. Vision is given a prominent position in aesthetics, often dominating the other senses. The present approach is similar in this, but it should be stressed that hearing, touch, smell, and even taste all are implicated in perceptual processing. The vision system in the brain is linked to the other sensory systems, which permits interaction at an early processing stage. At a later stage, visual information is integrated with other kinds of sensory information to produce multimodal perceptual experiences and mental imagery....

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  • In this paper we present a confidence measure for word alignment based on the posterior probability of alignment links. We introduce sentence alignment confidence measure and alignment link confidence measure. Based on these measures, we improve the alignment quality by selecting high confidence sentence alignments and alignment links from multiple word alignments of the same sentence pair.

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  • Semi-supervised word alignment aims to improve the accuracy of automatic word alignment by incorporating full or partial manual alignments. Motivated by standard active learning query sampling frameworks like uncertainty-, margin- and query-by-committee sampling we propose multiple query strategies for the alignment link selection task. Our experiments show that by active selection of uncertain and informative links, we reduce the overall manual effort involved in elicitation of alignment link data for training a semisupervised word aligner. ...

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  • In this paper, we present a new word alignment combination approach on language pairs where one language has no explicit word boundaries. Instead of combining word alignments of different models (Xiang et al., 2010), we try to combine word alignments over multiple monolingually motivated word segmentation. Our approach is based on link confidence score defined over multiple segmentations, thus the combined alignment is more robust to inappropriate word segmentation.

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  • This paper describes a word and phrase alignment approach based on a dependency analysis of French/English parallel corpora, referred to as alignment by “syntax-based propagation.” Both corpora are analysed with a deep and robust dependency parser. Starting with an anchor pair consisting of two words that are translations of one another within aligned sentences, the alignment link is propagated to syntactically connected words.

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  • Hypernym links acquired through an information extraction procedure are projected on multi-word terms through the recognition of semantic variations. The quality of the projected links resulting from corpus-based acquisition is compared with projected links extracted from a technical thesaurus. 1 Motivation In the domain of corpus-based terminology, there are two m a i n topics of research: term acquisition--the discovery of candidate terms-and automatic thesaurus construction--the addition of semantic links to a term bank. ...

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  • We describe an approach to improve the bilingual cooccurrence dictionary that is used for word alignment, and evaluate the improved dictionary using a version of the Competitive Linking algorithm. We demonstrate a problem faced by the Competitive Linking algorithm and present an approach to ameliorate it. In particular, we rebuild the bilingual dictionary by clustering similar words in a language and assigning them a higher cooccurrence score with a given word in the other language than each single word would have otherwise.

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  • A number of results in the study of realtime sentence comprehension have been explained by computational models as resulting from the rational use of probabilistic linguistic information. Many times, these hypotheses have been tested in reading by linking predictions about relative word difficulty to word-aggregated eye tracking measures such as go-past time. In this paper, we extend these results by asking to what extent reading is well-modeled as rational behavior at a finer level of analysis, predicting not aggregate measures, but the duration and location of each fixation. ...

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  • Dictionaries contain a rich set of relationships between their senses, but often these relationships are only implicit. We report on our experiments to automatically identify links between the senses in a machinereadable dictionary. In particular, we automatically identify instances of zero-affix morphology, and use that information to find specific linkages between senses. This work has provided insight into the performance of a stochastic tagger. 1 Introduction (LDOCE), is a dictionary for learners of English as a second language.

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  • level knowledge sources can then be used to select a decision from the candidate set for each word image. In this paper, we propose that visual inter-word constraints can be used to facilitate candidate selection. Visual inter-word constraints provide a way to link word images inside the text page, and to interpret t h e m systematically. Introduction The objective of visual text recognition is to transform an arbitrary image of text into its symbolic equivalent correctly.

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  • Free-word order languages have long posed significant problems for s t a n d a r d parsing algorithms. This paper reports on an implemented parser, based on GovernmentBinding theory (GB) (Chomsky, 1981, 1982), for a particular free-word order language, Warlpiri, an aboriginal language of central Australia. The parser is explicitly designed to transparently mirror the principles of GB. The operation of this parsing system is quite different in character from that of a rule-based parsing system, ~e.g., a context-free parsing method.

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  • We are paricular grateful to jeanne McCarten and geraldine mark at cambridge university Press who provide us with so much clear-sighted help anh creative guidance at all stages during the wring of this book, we should also like to thank stuart redman for his thorough anh invaluable report on the initial manuscript.

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