Search results for "Cache language model"
showing 3 items of 3 documents
Ordinal mind change complexity of language identification
1997
The approach of ordinal mind change complexity, introduced by Freivalds and Smith, uses constructive ordinals to bound the number of mind changes made by a learning machine. This approach provides a measure of the extent to which a learning machine has to keep revising its estimate of the number of mind changes it will make before converging to a correct hypothesis for languages in the class being learned. Recently, this measure, which also suggests the difficulty of learning a class of languages, has been used to analyze the learnability of rich classes of languages. Jain and Sharma have shown that the ordinal mind change complexity for identification from positive data of languages formed…
Linguistic interpretation of speech errors
2016
The paper is an attempt to illustrate the linguistic interpretation of speech, known that it remains insufficiently resolved, especially for Romanian. The cause is given by the multitude of criteria that can or should be considered important in speech processing. The aim of this study is to develope a computational tool in order to identify the possible errors related to the morphosintactic structure of speech. Our goal is to assist users who can receive automatically different suggestions that can help them to improve the quality of their text. Thus, we chose an interdisciplinary approach through speech analysis that brings together the key fields of linguistics, computer science and so on…
Translingual text mining for identification of language pair phenomena
2016
Translingual Text Mining (TTM) is an innovative technology of natural language processing for building multilingual parallel corpora, processing machine translation, contextual knowledge acquisition, information extraction, query profiling, language modeling, contextual word sensing, creating feature test sets and for variety of other purposes. The Keynote Lecture will discuss opportunities and challenges of this computational technology. In particular, the focus will be made on identification of language pair phenomena and their applications to building holistic language model which is a novel tool for processing machine translation, supporting professional translations, evaluation of tran…