In this paper we address the combination of query translation approaches for cross-language information retrieval (CLIR). We translate queries with Google Translate and extend them with new translations obtained by mapping noun phrases in the query to concepts in the target language using Wikipedia. For two CLIR collections, we show that the proposed model provides meaningful translations that ...

This paper presents work on the evaluation of online available machine translation (MT) service, i.e. Google Translate, for English-Croatian language pair in the domain of legislation. The total set of 200 sentences, for which three reference translations are provided, is divided into short and long sentences. Human evaluation is performed by native speakers, using the criteria of adequacy and ...

This paper reports the development of Japanese WordNet Affect from the English WordNet Affect lists with the help of English SentiWordNet and Japanese WordNet. Expanding the available synsets of the English WordNet Affect using SentiWordNet, we have performed the translation of the expanded lists into Japanese based on the synsetIDs in the Japanese WordNet. A baseline system for emotion analysi...

In this paper, we describe our approach to the English-Korean Cross-Lingual Link Discovery (CLLD) task in NTCIR 9. We propose a simple and effective approach to discover the links. Our method comprises preprocessing steps, anchor-target link mapping, and the ranking steps. For discovering the links, we use the English anchor names, the inter-language links, and the translation by the Google Tra...

The use of domain ontologies is becoming increasingly popular in Medical Natural Language Processing Systems. A wide variety of knowledge bases in multiple languages has been integrated into the Unified Medical Language System (UMLS) to create a huge knowledge source that can be accessed with diverse lexical tools. MetaMap (and its java version MMTx) is a tool that allows extracting medical con...

This paper presents a systematic human evaluation of translations of English support verb constructions produced by a rule-based machine translation (RBMT) system (OpenLogos) and a statistical machine translation (SMT) system (Google Translate) for five languages: French, German, Italian, Portuguese and Spanish. We classify support verb constructions by means of their syntactic structure and se...

This paper reports ongoing experiments towards exploiting the use of images to provide additional context for statistical machine translation (SMT). We investigate whether this contextual information can be helpful in targeting two well-known challenges in machine translation: ambiguity (incorrect translation of words that have multiple senses) and out-of-vocabulary words (words left untranslat...

The reuse of clinical data for the research environment is becoming one of the important tasks in medical informatics. The automatic assignment of the medical codes to the pre-identified concepts is turning to the Sisyphean task. For the MedNLP task in NTCIR-12 a new approach to automatically enrich the dictionary using online data is proposed. We have developed a text-mining system able to tre...

Recently, Machine Translation (MT) has become a quite popular technology in everyday use through Web services such as Google Translate. Although the different MT approaches provide good results, none of them exploits contextual information like Named Entity (NE) to help user comprehension. In this paper, we present NERITS, a machine translation mashup system using semantic annotation from Wikim...

P eople are facing an increasing variety and number of stressors. The nature of these stressors ranges from interpersonal and financial difficulties to environmental hazards and societal forces, affecting individuals, institutions, and communities. Extensive research has focused on the healthiest and most effective ways that people and communities respond to and recover from stress. Yet while t...