We describe in detail a Grapheme-to-Phoneme (G2P) converter required for the development of a good quality Hindi Text-to-Speech (TTS) system. The Festival framework is chosen for developing the Hindi TTS system. Since Festival does not provide complete language processing support specific to various languages, it needs to be augmented to facilitate the development of TTS systems in certain new ...

Terminologies can suffer from poor concept coverage due to delays in addition of new concepts. This study tests a similarity-based approach to recommending concepts from a text corpus to a terminology. Our approach involves extraction of candidate concepts from a given text corpus, which are represented using a set of features. The model learns the important features to characterize a concept a...

Credit ratings convey credit risk information to participants in financial markets, including investors, issuers, intermediaries and regulators. This paper proposes an automatic text analysis system for financial news and analyzes the effects of news coverage and sentiment factors on credit ratings. Our experiment results show that firms with higher news coverage received worse ratings in the n...

Automated text summarization is aimed at extracting essential information from original text and presenting it in a minimal, often predefined, number of words. In this paper, we introduce a new approach for unsupervised extractive summarization, based on the Minimum Description Length (MDL) principle, using the Krimp dataset compression algorithm (Vreeken et al., 2011). Our approach represents ...

Terminologies can suffer from poor concept coverage due to delays in addition of new concepts. This study tests a similarity-based approach to recommending concepts from a text corpus to a terminology. Our approach involves extraction of candidate concepts from a given text corpus, which are represented using a set of features. The model learns the important features to characterize a concept a...

The present paper deals with building the text corpus for unit selection text-to-speech synthesis. During synthesis the target and concatenation costs are calculated and these costs are usually based on the prosodic and acoustic features of sounds. If the cost calculation is moved to the phonological level, it is possible to simulate unit selection synthesis without any real recordings; in this...

The paper presents the design concept of a unitselection text-to-speech synthesis system for the Slovenian language. Due to its modular and upgradable architecture, the system can be used in a variety of speech user interface applications, ranging from server carrier-grade voice portal applications, desktop user interfaces to specialized embedded devices. Since memory and processing power requi...

This paper presents our work on textual inference and situates it within the context of the larger goals of machine reading. The textual inference task is to determine if the meaning of one text can be inferred from the meaning of another combined with background knowledge. Most existing work either provides only very limited text understanding by using bag-of-words lexical similarity models or...

a national movement that gives a voice to people affected by inequities in coverage and access to dental care is essential. Of course, the ultimate goal is care, not insurance, but we know that incorporating coverage of oral health into health insurance reduces costs and improves health. Can the economic implications of this evidence lead to change? We believe that we must mobilize, as our pred...

In this paper, we introduce our recent work on Chinese HPSG grammar development through treebank conversion. By manually defining grammatical constraints and annotation rules, we convert the bracketing trees in the Penn Chinese Treebank (CTB) to be an HPSG treebank. Then, a large-scale lexicon is automatically extracted from the HPSG treebank. Experimental results on the CTB 6.0 show that a HPS...