This paper outlines a pilot study on multi-dimensional and multilingual sentiment analysis of social media content. We use parallel corpora of movie subtitles as a proxy for colloquial language in social media channels and a multilingual emotion lexicon for fine-grained sentiment analyses. Parallel data sets make it possible to study the preservation of sentiments and emotions in translation an...

The lexical richness and its ease of access to large volumes of information converts the Web 2.0 into an important resource for Natural Language Processing. Nevertheless, the frequent presence of non-normative linguistic phenomena that can make any automatic processing challenging. In this paper is described the participation in the Text Normalisation Workshop at the SEPLN conference (Tweet-nor...

The current study, setting a two-fold goal, attempted to see whether the preemptive focus on form (FonF) under either planned or unplanned conditions could contribute to increasing lexical diversity in written narratives and, second, to find whether there was a trade-off between the lexical diversity and accuracy. To this end, 32 beginner learners were selected following a Quick Oxford Placemen...

In the recent years, different but similar approaches integrated lexical semantics within compositional semantics. These approaches all make use of type theory at least to compose the meanings. We present here with some details one of these approaches, ours, which makes use of second order lambda calculus as a type theory for meaning assembly and of multi sorted higher order predicate logic for...

Lexical resources such as WordNet and the EDR electronic dictionary (EDR) have been used in several NLP tasks. Probably partly due to the fact that the EDR is not freely available, WordNet has been used far more often than the EDR. We have used both resources on the same task in order to make a comparison possible. The task is automatic assignment of keywords to multi-party dialogue episodes (i...

In this paper we present the results of a study investigating the diachronic changes of four stylistic features: average sentence length, Automated Readability Index, lexical density and lexical richness in 20th century written English language. All experiments were conducted on the largest existing diachronic corpora of British and American English – the Brown ‘family’ corpora, employing NLP t...

This paper investigates the addition of prosody to a synthetic speech presentation of algebra notation in an algebra workstation for blind people. Prosody and lexical cues were evaluated in terms of their impact on disambiguating an utterance, enhancement of the retention of content and its contribution to mental workload. Prosodic cues alone performed better than the more traditional lexical c...

Current work on universal dependency schemes in NLP does not make reference to the extensive typological research on language universals, but could benefit since many principles are shared between the two enterprises. We propose a revision of the syntactic dependencies in the Universal Dependencies scheme (Nivre et al. [16, 17]) based on four principles derived from contemporary typological the...

It is widely accepted that semanti(: ttle-ories should, as far as possible, be com-positional. The claim that a dmory is (:omt)ositional, however, lacks bite if lexical and pre-lexical items are allowed to mean dilrerent things ill difl'erent contexts. The aim of the current paper is to show how to deal with a well-known t)henolnenon by relying on (:ombinato-rim effects to infer difforent conse...

Both notional and grammatical number affect agreement during language production. To explore their workings, we investigated how semantic integration, a type of conceptual relatedness, produces variations in agreement (Solomon & Pearlmutter, 2004). These agreement variations are open to competing notional and lexical-grammatical number accounts. The notional hypothesis is that changes in number...