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...

This paper discusses ontologization of lexicon access functions in the context of a service-oriented language infrastructure, such as the Language Grid. In such a language infrastructure, an access function to a lexical resource, embodied as an atomic Web service, plays a crucially important role in composing a composite Web service tailored to a user’s specific requirement. To facilitate the c...

This paper deals with the recognition of spelled names over the telephone. It introduces an efficient way of handling the spelling grammar, that is the lexicon of the allowed spelled names. The proposed approach is based on a forward-backward algorithm. The constraints on the sequences of letters are derived from the lexicon and are used by the A* algorithm in the backward pass. This forward-ba...

This paper describes the system developed by the Serendio team for the SemEval-2013 Task 2 competition (Task A). We use a lexicon based approach for discovering sentiments. Our lexicon is built from the Serendio taxonomy. The Serendio taxonomy consists of positive, negative, negation, stop words and phrases. A typical tweet contains word variations, emoticons, hashtags etc. We use preprocessing...

Sentiment analysis is the process of computationally recognizing and classifying attitudes conveyed in each text towards a particular topic, product, etc. which either positive or negative. one interesting applications natural language processing (NLP) used to analyze social media. Text media casual it can be written code-switch monolingual text. Several researchers have implemented sentiment o...