[PDF] Top 20 Exploring Long Term Temporal Trends in the Use of Multiword Expressions

... of Multiword Expressions For the Google Syntactic Ngrams dataset, we cre- ated expression histograms for the years 1701- 2008, since only from 1701 there is more than 1 book per ... See full document

... Differently from previous corpus-based or web-based learning approaches, our goal is not to build one static MWE lexicon. Instead, we propose to build a system that continuously learns new expressions from the ... See full document

... In practice, most statistical approaches use linguistic filters to collect candidate MWEs. Such approaches include Dagan and Church’s (1994) Termight Tool. In this tool, they first collect candidate nominal terms ... See full document

... A similar work to ours is Pearce (2001) who uses WordNet in order to produce anti-collocations from synonyms of the components of a MWE candidate, and decides about “MWEhood” based on these anti- collocations. Another ... See full document

... The evaluation part of mwetoolkit is furnished with an internal English lexicon as a gold stan- dard for evaluating bigram MWEs, but for French it is necessary to provide an external resource. We used as our gold ... See full document

... MWEs include idioms (storm in a teacup, sweep under the rug), fixed phrases (in vitro, by and large), noun compounds (olive oil, laser printer), compound verbs (take a nap, bring about), among others. These, while easily ... See full document

... MWEs include idioms (storm in a teacup, sweep under the rug), fixed phrases (in vitro, by and large), noun compounds (olive oil, laser printer), compound verbs (take a nap, bring about), among others. These, while easily ... See full document

... A variety of approaches has been proposed for automati- cally identifying MWEs, differing in terms of the type of MWE and language to which they apply, and the tech- niques they use. Although some work on MWEs is ... See full document

... the expressions on ...how expressions exhibit different restrictions depending on their subcate- ...gory. Multiword units are characterized by low values of interruptibility and low values of substi- ... See full document

... A multiword expression (MWE) refers to a multiword unit or a collocation of words that co- occur together statistically more than ...cover term for different types of collocations, which vary in ... See full document

... made use of monolingual datasets prepared to measure the correlation between individual human similar- ity scores and the system’s predictions (Mitchell and Lapata, 2008; Grefenstette and Sadrzadeh, ...composite ... See full document

... The starting point in this approach is the Arabic Gigaword corpus, which is an unannotated collec- tion of texts that contains 848 million words. In this monolingual setting the only practical solu- tion to extract MWEs ... See full document

... We use ten-fold cross- validation in the experiments on the treebank (ex- cept the experiments on the validation ...we use are the unlabeled attachment score ( AS U ) and labeled attachment score ( AS L ), ... See full document

... The results obtained in the analyses performed are that chil- dren tend to follow the CN usage of the adults. The rela- tively high Spearman correlations indicate that they tend produce more CNs if the hear more CNs. ... See full document

... verbal expressions the boost in precision preserves recall high, thus yielding f- scores that are always higher than for an uncon- strained search, the same isn’t true for adjectives and ...no use in ... See full document

... MWEs include idioms (storm in a teacup, sweep under the rug), fixed phrases (in vitro, by and large, rock’n roll), noun compounds (olive oil, laser printer), compound verbs (take a nap, bring about), among others. These, ... See full document

... Running the above-outlined EM procedure on the downloaded data for a particular n-gram gener- ates unsupervised estimates for p(S|Y ) – inferred usage distributions for each time span. To ob- tain a reference with which ... See full document

... Ablation study. In order to evaluate the impact of the different components of our neural architec- ture, we performed an ablation study on French, by removing (1) the GRU component on the word sequence, (2) the word POS ... See full document

... These tasks have been tackled using various machine learning methods such as Support Vec- tor Machines (SVM) for POS tagging (Gim´enez and M`arquez, 2004) or chunking (Kudoh and Mat- sumoto, 2000), second order random ... See full document

... In our opinion both those formalisms are in- adequate for encoding all the phenomena labeled as “multiword expressions”, especially in inflec- tional languages. Such approaches might be suc- cessful to a ... See full document