Лингвистический анализ

We present Minimum Bayes-Risk word alignment for machine translation. This statistical, model-based approach attempts to minimize the expected risk of align- ment errors under loss functions that mea- sure alignment …...

Emdros is a text database engine for linguistic analysis or annotation of text. It is applicca- ble especially in corpus linguistics for storing and retrieving linguistic analyses of text, at …...

. We present an approach to the machine translation of French to Arabic in which we explain each of the different steps and some of the problems encountered at each …...

This paper introduces a new approach to translation memories. The proposed translation technology uses linguistic analysis (morphology and parsing) to determine similarity between two source-language segments, and attempts to assemble …...

We explore a hybrid approach for Chinese definitional question answering by com- bining deep linguistic analysis with sur- face pattern learning. We answer four questions in this study: 1) How …...

This paper introduces the use of speech translation technology for a new type of voice-interactive Computer Aided Lan- guage Learning (CALL) application. We describe a computer game we have devel- …...

AbstractThis paper presents and analyzes an annotated corpus of definitions, created to train an algorithm for the automatic extraction of definitions and hypernyms from web documents. As an additional resource, …...

AbstractMorphological analyzers and part-of-speech taggers are key technologies for most text analysis applications. Our aim is to develop a part-of-speech tagger for annotating a wide range of Arabic text formats, …...

The NewsViz system aims to enhance news reading experiences by integrating 30 seconds long Flash-animations into news article web pages depicting their content and emotional aspects. NewsViz interprets football match …...

AbstractIn this paper we present the definition of a conceptual approach for the information space entailed by a multidisciplinary and collaborative project, """"Cimbrian as a test case for synchronic and …...

This paper describes the PROMT submission for the WMT12 shared translation task. We participated in two language pairs: English- French and English-Spanish. The translations were made using the PROMT DeepHybrid …...

AbstractThe increased interest for linguistic analysis of spontaneous (i.e. non-prepared) speech from various points of view (semantic, syntactic, morphologic, phonologic and intonative) lead to the development of ever more sophisticated …...

AbstractThe goal of this paper is to introduce T-PAS, a resource of typed predicate argument structures for Italian, acquired from corpora by manual clustering of distributional information about Italian verbs, …...

Twitter is often used in quantitative stud- ies that identify geographically-preferred topics, writing styles, and entities. These studies rely on either GPS coordinates at- tached to individual messages, or on …...

Access to word–sentiment associations is use- ful for many applications, including senti- ment analysis, stance detection, and linguistic analysis. However, manually assigning fine- grained sentiment association scores to words has …...

AbstractWe present a linguistic analysis of a set of English and Spanish verb+noun combinations (VNCs), and a method to use this information to improve VNC identification. Firstly, a sample of …...

AbstractThe viral spread of false, unverified and misleading information on the Internet has attracted a heightened attention of an interdisciplinary research community on the phenomenon. This paper contributes to the …...

AbstractHate speech is plaguing the cyberspace along with user-generated content. Adding counter speech has become an effective way to combat hate speech online. Existing datasets and models target either (a) …...

AbstractDespite recent advancements in automated speech recognition (ASR) technologies, reports of unequal performance across speakers of different demographic groups abound. At the same time, the focus on performance metrics such …...

AbstractThe hidden nature and the limited accessibility of the Dark Web, combined with the lack of public datasets in this domain, make it difficult to study its inherent characteristics such …...