Multi Word Expressions
Detecting Compositionality of Multi Word Expressions using Nearest Neighbours in Vector Space Models
... neighbours, which means that the neighbours have to be ranked. An obvious ranking method is to use the frequency with which each neighbour co-occurs with the other constituent(s) of the same phrase. For example, for all ...
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Detection of Verbal Multi Word Expressions via Conditional Random Fields with Syntactic Dependency Features and Semantic Re Ranking
... In this paper, we described our VMWE iden- tification systems based on CRF and Semantic Re-Ranking, achieving competitive results. We analysed the role of previously seen MWEs and showed that they help all systems in the ...
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“Fingers in the Nose”: Evaluating Speakers’ Identification of Multi Word Expressions Using a Slightly Gamified Crowdsourcing Platform
... Agata Savary, Manfred Sailer, Yannick Parmentier, Michael Rosner, Victoria Rosén, Adam Przepiórkowski, Cvetana Krstev, Veronika Vincze, Beata Wójtowicz, Gyri Smørdal Losnegaard, Carla Parra Escartín, Jakub Waszczuk, ...
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ODIA CASE MARKER AGREEMENT TO MULTI WORD EXPRESSIONS (MWE) FOR ENGLISH ODIA MACHINE TRANSLATION SYSTEM
... In this paper, differed from conventional MWE identification and the agreement of case- markers, the template based inter-dependable MWE expression identification and looking its TAM features how the target language ...
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Detection of Verbal Multi Word Expressions via Conditional Random Fields with Syntactic Dependency Features and Semantic Re Ranking
... idiomatic expressions), IReflV (reflexive verbs), LVC (light verb construc- tions), VPC (verb-particle constructions) and OTH (a miscellaneous category for any other language- specific ...
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Manawi: Using Multi Word Expressions and Named Entities to Improve Machine Translation
... the word from a known vocabulary dataset extracted from the other corpora in the WMT 2013 shared task (Peitz et ...on word-alignments features, we were cleaning the data based on sentence align- ment ...
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Advanced Clustering Technique to Handle Multi word Expressions for Descriptive Documents
... We present approaches that have considered the client's elucidation of results as slogans, expressions or graphic titles that reduce the semantic substance of clusters and points for a client. For datasets with ...
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Identification of Multi word Expressions by Combining Multiple Linguistic Information Sources
... Finally, we have used the trained BN to classify the entire set of bi-grams present in the (Hebrew side of the) parallel corpus described in Tsvetkov and Wintner (2010a). Of the 134,000 candidates, only 4,000 are ...
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Representation and processing of multi word expressions in the brain
... What is still largely missing from the grammar-lexicon debate, however, and from the MWE literature more broadly, is electrophysiological evidence pertinent to the processing of those MWEs that are literal and ...
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Querying Multi word Expressions Annotation with CQL
... Multi-word units pose problems for both categories of corpus querying tools since in both paradigms the basic unit that carries annotation is a token. In this paper, we work with the open source corpus ...
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A Comparative Analysis of Hindi Multi Word Expressions using Relevance Measure RMMWE
... There are many papers concerned with the introduction to MWEs and the extraction process, some of the important ones are considered here. NLTK was suggested and used for Hindi MWEs Extraction and processing [13]. The new ...
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Detecting Multi Word Expressions Improves Word Sense Disambiguation
... Multi-word expressions (MWEs) are prevalent in ...of Word Sense Disambiguation (WSD) (Agirre and Ed- monds, 2007), in which an algorithm attempts to as- sign to each word in a text the ...
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Stepwise Mining of Multi Word Expressions in Hindi
... replicating word feature (Abbi 1975, Abbi 1992) that exhibit non- compositionality property of ...replicating word is in singular form of the preceding ...
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Predicting Code switching in Multilingual Communication for Immigrant Communities
... Obtaining language labels In order to label each token of a post, we rely on the labels ob- tained using automatic language identification at the word level (see Section 3). This process may not be the most ...
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Learning Paraphrasing for Multiword Expressions
... paraphrasing multi-word ...indicates expressions in the source language that are translated to the target in a non-compositional ...extract multi-word terms from English corpora, which ...
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An Approach to Take Multi Word Expressions
... One way of analyzing the validity of this method- ology is to examine the Inter-Annotator Agree- ment (IAA) on the proposed alias. After the training period (in which about 60 MWEs were investigated as a group), ...
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Multi Word Expression Sensitive Word Alignment
... into word alignment, 1 which is in a similar manner to Graca et ...anchor word alignment ...modified word alignment which incorporates the groupings of BMWEs and enforces their alignment links; we ...
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Improving Word Translation Disambiguation by Capturing Multiword Expressions with Dictionaries
... Bilingual corpora are scarce, however, and un- available for most language pairs and target do- mains. An alternative approach is to build systems based on large monolingual knowledge sources and bilingual lexica, as in ...
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A Word Embedding Approach to Predicting the Compositionality of Multiword Expressions
... Multiword expressions (MWEs) are word combina- tions that display some form of idiomaticity (Bald- win and Kim, 2009), including semantic idiomatic- ity, wherein the semantics of the MWE ...
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Determining Compositionality of Word Expressions Using Word Space Models
... We built LSA WSM from the whole ukWaC POS-tagged corpus for all the word lemmas con- catenated with their POS tags excluding stopwords. We treated the following strings as stopwords: the lemmas with frequency ...
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