نتایج جستجو برای: collocation learning
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Resumen. Lexical functions formalize semantic and syntactic relations between lexical units, given that meaning of an individual word largely depends on various relations connecting it to other words in context. Collocational relation is a type of institutionalized lexical relations that holds between the base and its partner in a collocation in contrast to free word combination where both word...
Fixed multiword expressions are strings of words which together behave like a single word. This research establishes a method for the automatic extraction of such expressions. Our method involves three stages. In the first, a statistical measure is used to extract candidate bigrams. In the second, we use this list to select occurrences of candidate expressions in a corpus, together with their s...
One of the crucial problems in developing high quality Thai text-to-speech synthesis is to detect phrase break from Thai texts. Unlike English, Thai has no word boundary delimiter and no punctuation mark at the end of a sentence. It makes the problem more serious. Because when we detect phrase break incorrectly, it is not only producing unnatural speech but also creating the wrong meaning. In t...
This thesis is about the task of unsupervised parser induction: automatically learning grammars and parsing models from raw text. We endeavor to induce such parsers by observing sequences of terminal symbols. We focus on overcoming the problem of frequent collocation that is a major source of error in grammar induction. For example, since a verb and a determiner tend to co-occur in a verb phras...
We analyze collocation methods for nonlinear homogeneous Volterra-Hammerstein integral equations with non-Lipschitz nonlinearity. We present different kinds of existence and uniqueness of nontrivial collocation solutions and we give conditions for such existence and uniqueness in some cases. Finally we illustrate these methods with an example of a collocation problem, and we give some examples ...
the main purpose of this paper is to study the numerical solution of nonlinear volterra integral equations with constant delays, based on the multistep collocation method. these methods for approximating the solution in each subinterval are obtained by fixed number of previous steps and fixed number of collocation points in current and next subintervals. also, we analyze the convergence of the...
Word sense disambiguation is used in many natural language processing fields. One of the ways of disambiguation is the use of decision list algorithm which is a supervised method. Supervised methods are considered as the most accurate machine learning algorithms but they are strongly influenced by knowledge acquisition bottleneck which means that their efficiency depends on the size of the tagg...
Unsupervised features based on word representations such as word embeddings and word collocations have shown to significantly improve supervised NER for English. In this work we investigate whether such unsupervised features can also boost supervised NER in Spanish. To do so, we use word representations and collocations as additional features in a linear chain Conditional Random Field (CRF) cla...
The meaning of such verb-noun collocations as the wind blows, time flies, the day passes by can be generalized as ‘what is designated by the noun exists’. Likewise, the meaning of make a decision, provide support, write a letter can be generalized as ‘make what is designated by the noun’. These generalizations represent the meaning of certain groups of collocations and may be used as semantic a...
The application of collocation methods using spline basis functions to solve differential model equations has been in use for a few decades. However, the application of spline collocation to the solution of the nonlinear, coupled, partial differential equations (in primitive variables) that define the motion of fluids has only recently received much attention. The issues that affect the effecti...
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