Enhancing electronic dictionaries with an index based on associations

Ferret, Olivier; Zock, Michael

doi:10.3115/1220175.1220211

Cited by 10 publications

(5 citation statements)

References 16 publications

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“…It is essential to give the user some control over how the results are returned depending on what is more important to her. For example, (Ferret and Zock, 2006) have proposed to present results from a dictionary enriched with topical associations in chunks to allow for categorial search. There will be cases where the user may find acceptable only grammatical results, while in other cases the user might accept agrammatical results provided they contain interesting suggestions.…”

Section: Evaluation Of Rephrasings In Context For Ranking Resultsmentioning

confidence: 99%

Looking up phrase rephrasings via a pivot language

Max

Zock

2008

Proceedings of the Workshop on Cognitive Aspects of the Lexicon - COGALEX '08

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Rephrasing text spans is a common task when revising a text. However, traditional dictionaries often cannot provide direct assistance to writers in performing this task. In this article, we describe an approach to obtain a monolingual phrase lexicon using techniques used in Statistical Machine Translation. A part to be rephrased is first translated into a pivot language, and then translated back into the original language. Models for assessing fluency, meaning preservation and lexical divergence are used to rank possible rephrasings, and their relative weight can be tuned by the user so as to better address her needs. An evaluation shows that these models can be used successfully to select rephrasings that are likely to be useful to a writer.

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Section: Evaluation Of Rephrasings In Context For Ranking Resultsmentioning

confidence: 99%

Looking up phrase rephrasings via a pivot language

Max

Zock

2008

Proceedings of the Workshop on Cognitive Aspects of the Lexicon - COGALEX '08

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“…In consequence, we took an incremental approach (Ferret 2006): starting from a network of lexical co-occurrences collected from a large corpus, we used these latter to select potential topical relations by using a topic analyzer. 17 For more details see Ferret and Zock (2006). …”

Section: Definition Of the Problemmentioning

confidence: 99%

Deliberate word access: an intuition, a roadmap and some preliminary empirical results

Zock

Ferret

Schwab

2010

Int J Speech Technol

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No doubt, words play a major role in language production, hence finding them is of vital importance, be it for writing or for speaking (spontaneous discourse production, simultaneous translation). Words are stored in a dictionary, and the general belief holds, the more entries the better. Yet, to be truly useful the resource should contain not only many entries and a lot of information concerning each one of them, but also adequate navigational means to reveal the stored information. Information access depends crucially on the organization of the data (words) and the access keys (meaning/form), two factors largely overlooked. We will present here some ideas of how an existing electronic dictionary could be enhanced to support a speaker/writer to find the word s/he is looking for. To this end we suggest to add to an existing electronic dictionary an index based on the notion of association, i.e. words co-occurring in a well balanced corpus, the latter being supposed to represent the average citizen's knowledge of the world. Before describing our approach, we will briefly take a critical look at

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“…It is, however, known for the lack of syntagmatic relations, and researchers started to address this gap with various means to enrich the lexicon with topic associations and other broader semantic relations to enhance word access (e.g. Ferret and Zock 2006).…”

Section: Computational Modelling and Processingmentioning

confidence: 99%

Sense abstractness, semantic activation, and word sense disambiguation

Kwong

2008

Int J Speech Technol

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Concrete concepts are often easier to understand than abstract concepts. The notion of abstractness is thus closely tied to the organisation of our semantic memory, and more specifically our internal lexicon, which underlies our word sense disambiguation (WSD) mechanisms. Stateof-the-art automatic WSD systems often draw on a variety of contextual cues and assign word senses by an optimal combination of statistical classifiers. The validity of various lexico-semantic resources as models of our internal lexicon and the cognitive aspects pertinent to the lexical sensitivity of WSD are seldom questioned. We attempt to address these issues by examining psychological evidence of the internal lexicon and its compatibility with the information available from computational lexicons. In particular, we compare the responses from a word association task against existing lexical resources, WordNet and SUMO, to explore the relation between sense abstractness and semantic activation, and thus the implications on semantic network models and the lexical sensitivity of WSD. Our results suggest that concrete senses are more readily activated than abstract senses, and broad associations are more easily triggered than narrow paradigmatic associations. The results are expected to inform the construction of lexico-semantic resources and WSD strategies.

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Enhancing electronic dictionaries with an index based on associations

Cited by 10 publications

References 16 publications

Looking up phrase rephrasings via a pivot language

Looking up phrase rephrasings via a pivot language

Deliberate word access: an intuition, a roadmap and some preliminary empirical results

Sense abstractness, semantic activation, and word sense disambiguation

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