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Multi-Word Expressions

Detection of Verbal Multi Word Expressions via Conditional Random Fields with Syntactic Dependency Features and Semantic Re Ranking

Detection of Verbal Multi Word Expressions via Conditional Random Fields with Syntactic Dependency Features and Semantic Re Ranking

... A description of a system for iden- tifying Verbal Multi-Word Expressions (VMWEs) in running text is presented. The system mainly exploits universal syn- tactic dependency features through a Con- ...

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Extraction of Multi word Expressions from Small Parallel Corpora

Extraction of Multi word Expressions from Small Parallel Corpora

... Multi-word Expressions (MWEs) are lexical items that consist of multiple orthographic words (e.g., ad hoc, by and large, New York, kick the bucket ). MWEs are numerous and constitute a significant ...

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Detecting Compositionality of Multi Word Expressions using Nearest Neighbours in Vector Space Models

Detecting Compositionality of Multi Word Expressions using Nearest Neighbours in Vector Space Models

... Multi-word expressions (MWEs) are defined as “id- iosyncratic interpretations that cross word bound- aries” (Sag et al., 2002). They tend to have a standard syntactic structure but are often ...

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Querying Multi word Expressions Annotation with CQL

Querying Multi word Expressions Annotation with CQL

... Multi-word expressions (MWEs) are structures that cross word boundaries and thus present challenges to a variety of NLP tasks such as syntactic analysis and machine translation, ...and ...

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Tree Rewriting Models of Multi Word Expressions

Tree Rewriting Models of Multi Word Expressions

... of multi-word expressions has been discussed (Sag et ...to multi-word or idiomatic portions of phrase structure trees using elementary units that, after composition, may end up ...

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Identification of Multi word Expressions by Combining Multiple Linguistic Information Sources

Identification of Multi word Expressions by Combining Multiple Linguistic Information Sources

... Multi-word Expressions (MWEs) are lexical items that consist of multiple orthographic words (e.g., ad hoc, by and large, New York, kick the bucket ). MWEs are numerous and constitute a significant ...

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Stepwise Mining of Multi Word Expressions in Hindi

Stepwise Mining of Multi Word Expressions in Hindi

... Multi-word expressions (MWEs) play an important role in all tasks that involve natu- ral language processing. MWEs in Hindi are quite varied and many of these are of the types that are not ...

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Contexts, Patterns, Interrelations   New Ways of Presenting Multi word Expressions

Contexts, Patterns, Interrelations New Ways of Presenting Multi word Expressions

... of multi-word expressions), an ex- perimental lexicographic resource that fo- cusses on aspects of MWEs that are rarely addressed in traditional descriptions: Con- texts, patterns and ...billion ...

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Grammatical Error Correction Considering Multi word Expressions

Grammatical Error Correction Considering Multi word Expressions

... We proposed a grammatical error correction method using multi-word expressions. Our method proposes a straightforward application of MWEs to grammatical error correction, but exper- imental results ...

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Semantically Motivated Hebrew Verb Noun Multi Word Expressions Identification

Semantically Motivated Hebrew Verb Noun Multi Word Expressions Identification

... Identification of Multi-Word Expressions (MWEs) lies at the heart of many natural language processing applications. In this research, we deal with a particular type of Hebrew MWEs, Verb- Noun MWEs ...

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Towards Lexical Encoding of Multi Word Expressions in Spanish Dialects

Towards Lexical Encoding of Multi Word Expressions in Spanish Dialects

... Multi-word expressions (MWEs) such as sin pelos en la lengua ...A multi-word expression is understood here as a syntactic structure in which at least two compo- nent words (usually ...

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Identifying bilingual Multi-Word Expressions for Statistical Machine Translation

Identifying bilingual Multi-Word Expressions for Statistical Machine Translation

... were grouped as one unique token before training align- ment models. They showed on a small corpus, that both alignment quality and translation accuracy were improved. However, in a further study, a lower BLEU score is ...

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Identifying Multi word Expressions by Leveraging Morphological and Syntactic Idiosyncrasy

Identifying Multi word Expressions by Leveraging Morphological and Syntactic Idiosyncrasy

... Multi-word expressions constitute a sig- nificant portion of the lexicon of every natural language, and handling them cor- rectly is mandatory for various NLP appli- ...ies. Multi-word ...

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Factoring Ambiguity out of the Prediction of Compositionality for German Multi Word Expressions

Factoring Ambiguity out of the Prediction of Compositionality for German Multi Word Expressions

... across multi-word ...extract word-sense vectors from word-type vectors, in order to strengthen salient sense fea- tures and improve the prediction of compound– constituent ...

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Representation and processing of multi word expressions in the brain

Representation and processing of multi word expressions in the brain

... predictable multi- word ...binomial expressions (knife and fork), infrequent strongly associated phrases (spoon and fork), and semantic violations (theme and ...

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ODIA CASE MARKER AGREEMENT TO MULTI WORD EXPRESSIONS (MWE) FOR ENGLISH ODIA MACHINE TRANSLATION SYSTEM

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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An Approach to Take Multi Word Expressions

An Approach to Take Multi Word Expressions

... The PropBank (PB) corpus provides informa- tion associating semantic roles with certain syn- tactic structures, thereby contributing valuable training data for Natural Language Process- ing (NLP) applications (Palmer et ...

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Relative Compositionality of Multi word Expressions: A Study of Verb Noun (V N) Collocations

Relative Compositionality of Multi word Expressions: A Study of Verb Noun (V N) Collocations

... Abstract. Recognition of Multi-word Expressions (MWEs) and their relative compositionality are crucial to Natural Language Processing. Various statistical techniques have been proposed to recognize ...

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Detection of Verbal Multi Word Expressions via Conditional Random Fields with Syntactic Dependency Features and Semantic Re Ranking

Detection of Verbal Multi Word Expressions via Conditional Random Fields with Syntactic Dependency Features and Semantic Re Ranking

... A description of a system for iden- tifying Verbal Multi-Word Expressions (VMWEs) in running text is presented. The system mainly exploits universal syn- tactic dependency features through a Con- ...

7

Detecting Multi Word Expressions Improves Word Sense Disambiguation

Detecting Multi Word Expressions Improves Word Sense Disambiguation

... Multi-Word Expressions (MWEs) are preva- lent in text and are also, on average, less poly- semous than ...in Word Sense Disam- biguation ...

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