In this paper, we propose a lexicon optimization method based on a confusability measure (CM) to develop a large vocabulary continuous speech recognition (LVCSR) system with unseen words. When a lexicon is built or expanded for unseen words by using grapheme-to-phoneme (G2P) conversion, the lexicon size increases since G2P is generally realized by 1-to-N-best mapping. Thus, the proposed method ...

Computational lexicons are among the most important resources for natural language processing (NLP). Their importance is even greater in languages with rich morphology, where the lexicon is expected to provide morphological analyzers with enough information to enable them to correctly process intricately inflected forms. We describe the Haifa Lexicon of Contemporary Hebrew, the broadest-coverag...

We present a bilingual LSA (bLSA) framework for translation lexicon adaptation. The idea is to apply marginal adaptation on a translation lexicon so that the lexicon marginals match to indomain marginals. In the framework of speech translation, the bLSA method transfers topic distributions from the source to the target side, such that the translation lexicon can be adapted before translation ba...

This paper describes a generic lexicon tool which uses lexical representations and finite state transducers enhanced by arithmetic operations in DATR to generate individual output formats from a general phonological feature based representation. The tool was developed in connection with the lexicon component of a diagnostic evaluation toolkit, BEETLE, for a linguistic word recognition system. T...

We present a new method to automatically merge lexicons that employ different incompatible POS categories. Such incompatibilities have hindered efforts to combine lexicons to maximize coverage with reasonable human effort. Given an "original lexicon", our method is able to merge lexemes from an "additional lexicon" into the original lexicon, converting lexemes from the additional lexicon with a...

Sentiment analysis often relies on a semantic orientation lexicon of positive and negative words. A number of approaches have been proposed for creating such lexicons, but they tend to be computationally expensive, and usually rely on significant manual annotation and large corpora. Most of these methods use WordNet. In contrast, we propose a simple approach to generate a high-coverage semantic...

In order to better model pronunciation variations, we present in this paper a method to build a lexicon whose content changes dynamically with the input speech. To achieve this goal, we proceeded in two steps. In the first step, a static augmented lexicon is created by adding new phone transcriptions to a basic lexicon. These new variants are derived from phonetic features that are automaticall...

The growing of multilingual information processing technology has created the need of linguistic resources, especially lexical database. Many attempts were put to alter the traditional dictionary to computational dictionary, or widely named as computational lexicon. TCL’s Computational Lexicon (TCLLEX) is a recent development of a large-scale Thai Lexicon, which aims to serve as a fundamental l...

Recent work at the Centre for Speech Technology Research (CSTR) at the University of Edinburgh has developed an accent-independent lexicon for speech synthesis (the Unisyn project). The main purpose of this lexicon is to avoid the problems and cost of writing a new lexicon for every new accent needed for synthesis. Only recently [1], a first attempt has been made to use the Keyword Lexicon for ...