Collocations are commonly co-occurring word pairs, such as “black coffee”. Previous research has demonstrated a processing advantage for collocations compared to novel phrases, suggesting that readers sensitive the frequency words co-occur in phrases. However, further question concerns whether this occurs independently from effects of contextual predictability. We examined issue an eye movement...

This paper presents a method for extracting multi-word collocations (MWCs) from text corpora, which is based on the previous extraction of syntactically bound collocation bigrams. We describe an iterative word linking procedure which relies on a syntactic criterion and aims at building up arbitrarily long expressions that represent multi-word collocation candidates. We propose several measures ...

This paper proposes a novel reordering model for statistical machine translation (SMT) by means of modeling the translation orders of the source language collocations. The model is learned from a word-aligned bilingual corpus where the collocated words in source sentences are automatically detected. During decoding, the model is employed to softly constrain the translation orders of the source ...

Abstract This study examined the processing and acquisition of novel words their collocates (i.e., that frequently co-occur with other words) from reading effect frequency exposure on this process. First second language speakers English read a story 1) eight exposures adjective-pseudoword collocations, 2) four same or 3) control collocations. Results recall recognition tests showed participants...

The texts written by language learners can be considered a type of non-canonical text. Language learners tend to make errors when writing in a second language and in this regard, can be seen to violate the canonical rules of a language. The kinds of errors that learners may make include: spelling, grammatical, vocabulary, collocation. The extent and degree to which learners make errors will dep...

Idioms and common multi-word expressions are often argued to be stored as chunks of words or fixed configurations in the mind, and to therefore be accessed faster and interpreted more easily than fully compositional word combinations. Experimental research has furthermore shown that a specific “recognition point” can be identified in such expressions, at which enough information is present to a...

In this paper, we introduce a system, Sentence Planning Using Description, which generates collocations within the paradigm of sentence planning. SPUD simultaneously constructs the semantics and syntax of a sentence using a Lexicalized Tree Adjoining Grammar (LTAG). This approach captures naturally and elegantly the interaction between pragmatic and syntactic constraints on descriptions in a se...

The aim of this paper is to examine the nominality of the neologism BREXIT using a corpus-informed lexicogrammatical approach. The term BREXIT, coined in 2012, used initially in print and social media in the UK is now internationally wide-spread. BREXIT is a blend of British + exit, which expresses the meaning of’Britain exiting from the EU’. Although ‘Brexit’ clearly expresses an event (motion...

The increasing availability of numerous corpora has significantly contributed to the understanding of words in terms of their underlying semantic structures and lexical networks (e.g. COBUILD, WordNet etc.). Through data mining and information retrieval, research in this area has vastly expanded our appreciation that what constitutes lexical knowledge goes beyond synonymy, hyponymy, metonymy, m...

This paper describes a research effort that exploits information available in the FrameNet database and seeks to find, for argumentstructure-bearing verbs, nouns, and adjectives, the lexical heads of the phrases that satisfy the core semantic roles of those predicates, and to create from the database of annotated sentences collections of structured clusters of words, called kernel dependency gr...