The paper describes the new Russian sentiment lexicon RuSentiLex. The lexicon was gathered from several sources: opinionated words from domain-oriented Russian sentiment vocabularies, slang and curse words extracted from Twitter, objective words with positive or negative connotations from a news collection. The words in the lexicon having different sentiment orientations in specific senses are ...

In this report we show that a lexicon can be designed in such a way that lexical coverage can be maximized by real-time lexicon expansion and a limited word part lexicon for Dutch speech recognition. More specifically, we describe how the lexicon is designed and how the real-time expansion module was built and tested. Tests were performed using a 36.000 entries lexicon. The test results show th...

Clinically useful problem lists are essential to the CPR. Providing a terminology that is standardized and understood by all clinicians is a major challenge. UNMC has developed a lexicon to support their problem list. Using a just-in-time coding strategy, the lexicon is maintained and extended prospectively in a dynamic clinical environment. The terms in the lexicon are mapped to ICD-9-CM, NAND...

This paper is concerned with the specifications and the implementation of a particular concept of word-based lexicon to be used for large natural language processing systems such as machine translation systems, and compares it with the morpheme-based conception of the lexicon traditionally assumed in computational linguistics. It will be argued that, although less concise, a relational word-bas...

Ancient corpora contain various multilingual patterns. This imposes numerous problems on their manual annotation and automatic processing. We introduce a lexicon building system, called Lexicon Expander, that has an integrated language detection module, Language Detection (LD) Toolkit. The Lexicon Expander post-processes the output of the LD Toolkit which leads to the improvement of f-score and...

This paper is concerned with the specifications and the implementation of a particular concept of word-based lexicon to be used for large natural language processing systems such as machine translation systems, and compares it with the morpheme-based conception of the lexicon traditionally assumed in computational linguistics. It will be argued that, although less concise, a relational word-bas...

We present a method to automatically generate a term-opinion lexicon. We also weight these lexicon terms and use them at real time to boost the ranking with opinionated-content documents. We define very simple models both for opinion-term extraction and document ranking. Both the lexicon model and retrieval model are assessed. To evaluate the quality of the lexicon we compare performance with a...

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 ...