•The Google semantic/syntactic (analogies) →Constructed German counterpart through manual translation by 3 human judges •The paradigmatic semantic relation (analogies) →The dataset was adapted by Lenci & Benotto for English and by Scheible & Schulte im Walde for German. Examples: Antonym-Adj psychological : physical :: maximum : minimum Antonym-NN biblical : secular :: deaf : hearing Antonym-Ve...

Using a think-aloud procedure this study explored why certain vocabulary interventions are more facilitative for word learning than others. Second Language (L2) readers' quality and quantity (Hulstijn, 2001) of word processing strategies were recorded to determine the effect on (a) establishing and (b) strengthening lexical form-meaning connections (FMCs) as well as (c) text comprehension. L2 l...

This paper summarizes our research in the area of semantic tagging at the word and sense levels and sets the ground for a new approach to text-level sentiment annotation using a combination of machine learning and linguisticallymotivated techniques. We describe a system for sentiment tagging of words and senses based on WordNet glosses and advance the treatment of sentiment as a fuzzy category.

Sentiment analysis or opinion mining aims to use automated tools to detect subjective information such as opinions, attitudes, and feelings expressed in text. Ideally, an opinion mining tool would process a set of search results for a given item, generating a list of product attributes (quality, features, etc.) and aggregating opinions about each of them (poor, mixed, good). Then begin by ident...

the purpose of the present study was to investigate the use of personal and impersonal metadiscourse (md) by persian- and english-speaking writers in academic writing. for this purpose, 80 abstracts were selected (40 written by persian-speaking writers and 40 by english-speaking ones) and analyzed. these abstracts were selected from endocrinology and metabolism journals published during 2010 to...

The task of word sense disambiguation is to assign a sense label to a word in a passage. We report our algorithms and experiments for the two tasks that we participated in viz. the task of WSD of WordNet glosses and the task of WSD of English lexical sample. For both the tasks, we explore a method of sense disambiguation through a process of “comparing” the current context for a word against a ...

The University of Maryland participated in three tasks organized by the Text Analysis Conference 2008 (TAC 2008): (1) the update task of text summarization; (2) the opinion task of text summarization; and (3) recognizing textual entailment (RTE). At the heart of our summarization system is Trimmer, which generates multiple alternative compressed versions of the source sentences that act as cand...