We report experiments on automatic learning of an English-Chinese translation lexicon, through statistical training on a large parallel corpus. The learned vocabulary size is nontrivial at 6,517 English words averaging 2.33 Chinese translations per entry, with a manuallyfiltered precision of 95.1% and a single-most-probable precision of 91.2%. We then introduce a significance filtering method t...

We report experiments on automatic learning of an English-Chinese translation lexicon, through statistical training on a large parallel corpus. The learned vocabulary size is non-trivial at 6,517 English words averaging 2.33 Chinese translations per entry, with a manually-ltered precision of 95.1% and a single-most-probable precision of 91.2%. We then introduce a signiicance ltering method that...

In this paper, a vocabulary trim down algorithm is proposed in decision tree-based acoustic model to make the model more close to the given task. Using this trim down model as seed model to do task adaptation is also presented. Based on this framework, users can configure the acoustic model by themselves according to their resources (such as vocabulary knowledge, a little amount task specific d...

The number of features to be considered in a text classification system is given by the size of the vocabulary and this is normally in the range of the tens or hundreds of thousands even for small tasks. This leads to parameter estimation problems for statistical based methods and workarounds have to be found. One of the most widely used methods consists of reducing the size of the vocabulary a...

many textbooks include semantically related words and sometimes teachers add synonyms, antonyms, etc. to the words in order to present new vocabulary items without questioning the possible effects. this study sought to investigate the effect of teaching vocabulary through synonym, semantically unrelated, and hyponym sets based on higa’s (1963) proposed continuum. a total of 120 iranian intermed...

In this paper we investigate the influence of semantics in the text categorization. Moreover, we study how the vocabulary size reduction affects this task. The K Nearest Neighbours method was used to perform the categorization. In order to reduce the vocabulary size, the Information Gain technique was employed. A number of different document codification alternatives were tested. The experiment...

We use the formulation of equilibrium statistical mechanics in order to study some important characteristics of language. Using a simple expression for the Hamiltonian of a language system, which is directly implied by the Zipf law, we are able to explain several characteristic features of human language that seem completely unrelated, such as the universality of the Zipf exponent, the vocabula...

This study examined the contributions of verbal ability and executive control to verbal fluency performance in older adults (n = 82). Verbal fluency was assessed in letter and category fluency tasks, and performance on these tasks was related to indicators of vocabulary size, lexical access speed, updating, and inhibition ability. In regression analyses the number of words produced in both flue...

As children develop into skilled readers, they are able to more quickly and accurately distinguish between words with similar visual forms (i.e., they develop precise lexical representations). The masked form priming lexical decision task is used to test the precision of lexical representations. In this paradigm, a prime (which differs by one letter from the target) is briefly flashed before th...