By Carlos Ramisch
This ebook is a superb creation to multiword expressions. It presents a different, entire and updated evaluate of this intriguing subject in computational linguistics. the 1st half describes the range and richness of multiword expressions, together with many examples in numerous languages. those buildings are usually not in basic terms complicated and arbitrary, but in addition even more widespread than one might bet, making them a true nightmare for usual language processing functions.
The moment half introduces a brand new well-known framework for computerized acquisition of multiword expressions from texts. additionally, it describes the accompanying unfastened software program device, the mwetoolkit, which is useful while trying to find expressions in texts (regardless of the language). review is significantly emphasised, underlining the truth that effects depend upon parameters like corpus dimension, language, MWE kind, and so forth. The final half comprises reliable experimental effects and evaluates the mwetoolkit, demonstrating its usefulness for computer-assisted lexicography and desktop translation.
This is the 1st ebook to hide the complete pipeline of multiword expression acquisition in one quantity. it's addresses the wishes of scholars and researchers in computational and theoretical linguistics, cognitive sciences, synthetic intelligence and computing device technology. Its sturdy stability among computational and linguistic perspectives make it the ideal start line for someone attracted to multiword expressions, language and textual content processing in general.
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Extra resources for Multiword Expressions Acquisition: A Generic and Open Framework
Example text
As pointed out in Sect. 5 %) multiword verbs in English Wordnet. This is only the tip of the iceberg as some classes of MWEs, like support verb constructions, are not covered in Wordnet (Ramisch et al. 2013). Church (2013) discusses the size of the MWE lexicon from the point of view of computer applications, arguing that it is probably not a good idea to try to include all MWEs of a language in a lexicon. Institutionalisation is directly related to collocational behaviour, and motivates using frequency information (and all the related statistical tools) in order to automatically identify MWEs in corpora.
4. 8 See Sect. 4. 2 (Term). A terminology is a specialised lexicon corresponding to the set of words that characterise a specialised language of a domain. A term is the basic lexical unit of a terminology. MWEs and terms have some similar aspects: both have non-conventional semantics and both are a challenge for NLP systems. Manning and Schütze (1999, p. 152) point out that: There is considerable overlap between the concept of collocation and notions like term, technical term and terminological phrase.
The syntactic level deals with word order in natural language utterances. Grammars are used to formalise the rules that govern the position of words and phrases, and how they can be combined. Syntax studies investigate, for instance, the place of epithet adjectives with respect to their corresponding noun, and the order of verb, subject and object in languages. However, when trying to classify linguistic phenomena into either lexical or syntactic, one realises that some of them, and in particular MWEs, lie in between these two levels.