We describe and motivate the design of a lexico-grammatical knowledgebase called StringNet and illustrate its significance for research into constructional phenomena in English. StringNet consists of a massive archive of what we call hybrid n-grams. Unlike traditional n-grams, hybrid n-grams can consist of any co-occurring combination of POS tags, lexemes, and specific word forms. Further, we d...

In this article, we present an analysis of the complexity grammatical constraints and their impact on early language acquisition inflectional morphemes in Malayalam. We use natural speech production data two monolingual children acquiring Malayalam between ages 1;9–2;10 2;3–3;0 three bilingual Malayalam-English 1;9–2;8, 2;0–3;0 1;10–2;11 to recover underlying that govern correct productions as ...

     This project investigates the relationship between lexical semantics and causative morphology in the acquisition of causative/inchoative-related verbs in English as a foreign language by Iranian speakers. Results of translation and picture judgment task show although L2 learners have largely acquired the correct lexico-syntactic classification of verbs in English, they were constrained by ...

The paper describes the application of artificial neural networks for corpus analysis which consists of intelligent mechanisms of analysis and recognition of word clusters and their meaning. The task of analyzing a corpus of academic articles was resolved with probabilistic neural networks. A review of selected issues is carried out with regards to computational approaches to language modeling ...

In this paper, we apply text classification techniques to prove how well translated texts obey linguistic conventions of the target language measured in terms of registers, which are characterised by particular distributions of lexico-grammatical features according to a given contextual configuration. The classifiers are trained on German original data and tested on comparable English-to-German...

We present a data-driven approach to investigate intra-textual variation by combining entropy and surprisal. With this approach we detect linguistic variation based on phrasal lexico-grammatical patterns across sections of research articles. Entropy is used to detect patterns typical of specific sections. Surprisal is used to differentiate between more and less informationally-loaded patterns a...

Multiword Expressions (MWEs) are crucial lexico-semantic units in any language. However, most work on MWEs has been focused on standard monolingual corpora. In this work, we examine MWE usage on Twitter an inherently multilingual medium with an extremely short average text length that is often replete with grammatical errors. In this work we present a new graph based, language agnostic method f...

This study examined academic articles and journalistic reports in 5 disciplinary areas to explore how similar contents might attitudinally be realized in two different genres. To this end, 25 research articles and 210 news reports were carefully selected and underwent detailed discourse semantic and grammatical analyses with the purpose of identifying the evaluative linguistic patterns....

Disciplinary variation in language use is one of the focal topics academic discourse research. This paper critically reviews extant literature studies on close relationship between and disciplinarity, an attempt to clarify different perspectives, both theoretical methodological, exploring discipline-specific nature discourses. points out that previous mainly adopted a form-first approach analyz...