In this article, we present a translation system which builds translations by gluing together Tree-Phrases, i.e. associations between simple syntactic dependency treelets in a source language and their corresponding phrases in a target language. The Tree-Phrases we use in this study are syntactically informed and present the advantage of gathering source and target material whose words do not h...

In this paper, we explore sentiment composition in phrases that have at least one positive and at least one negative word—phrases like happy accident and best winter break. We compiled a dataset of such opposing polarity phrases and manually annotated them with real-valued scores of sentiment association. Using this dataset, we analyze the linguistic patterns present in opposing polarity phrase...

This questionnaire based study compared the interpretation, use and preferences, among pathologists and surgeons, of descriptive phrases found in surgical reports. The results show that there is a wide variation in individual interpretation of phrases in both groups. The frequency of usage of phrases by pathologists and preference for phrases by surgeons were also diverse. The adoption of a lim...

We describe a method of correcting noisy output of a machine translation system. Our idea is to consider di erent phrases of a given sentence, and nd appropriate replacements of some of these from the frequently occurring similar phrases in the monolingual corpus. The frequent phrases in the monolingual corpus are indexed by a search engine. When looking for similar phrases we consider phrases ...

Sentiment composition is the determining of sentiment of a multi-word linguistic unit, such as a phrase or a sentence, based on its constituents. We focus on sentiment composition in phrases formed by at least one positive and at least one negative word—phrases like happy accident and best winter break. We refer to such phrases as opposing polarity phrases. We manually annotate a collection of ...

This paper presents a noun phrase driven two-level statistical machine translation system. Noun phrases (NPs) are used as the unit of decomposition to build a two level hierarchy of phrases. English noun phrases are identified using a parser. The corresponding translations are induced using a statistical word alignment model. Identified noun phrase pairs in the training corpus are replaced with...

The current study examines the realization and distribution of high (H) tones in Bengali across different sentence types and under varying focus domain sizes, to show that Bengali tonally marks three prosodic phrases above the word instead of two – Intonation Phrases (IP), Intermediate Phrases (ip), and Accentual Phrases (AP) – and that focus realization can be derived without the lexically-spe...

We present an empirical investigation of various ways to automatically identify phrases in a tagged corpus that are useful for dialogue act tagging. We found that a new method (which measures a phrase’s deviation from an optimally-predictive phrase), enhanced with a lexical filtering mechanism, produces significantly better cues than manually-selected cue phrases, the exhaustive set of phrases ...

In this paper, we propose a recursive graph based scheme for semantic annotation of Chinese phrases. Compared with others, this scheme can fully differentiate those Chinese phrases that comprise the same content words but hold different meanings due to their different word order or some involved function words, and capture the hierarchical conceptual structure of Chinese phrases, which underlie...

This paper proposes the definition, classification and structure of the Kazakh basic phrases, and sets up a framework for classifying them according to their syntactic functions. Meanwhile, the structure of the Kazakh basic phrases were analyzed; and the determination of the Kazakh basic phrases collocation and extraction of the Kazakh basic phrases based on rules were followed. The Maximum Ent...