Identifying Phrasemes via Interlingual Association Measures -- A Data-driven Approach on Dependency-parsed and Word-aligned Parallel Corpora

09/24/2017
by   Johannes Graën, et al.
0

This is a preprint of the article "Identifying Phrasemes via Interlingual Association Measures" that was presented in February 2016 at the LeKo (Lexical combinations and typified speech in a multilingual context) conference in Innsbruck.

READ FULL TEXT

page 1

page 2

page 3

page 4

research
05/20/2021

LAST at SemEval-2021 Task 1: Improving Multi-Word Complexity Prediction Using Bigram Association Measures

This paper describes the system developed by the Laboratoire d'analyse s...
research
06/25/2017

Beyond Bilingual: Multi-sense Word Embeddings using Multilingual Context

Word embeddings, which represent a word as a point in a vector space, ha...
research
09/24/2015

Bilingual Distributed Word Representations from Document-Aligned Comparable Data

We propose a new model for learning bilingual word representations from ...
research
04/12/2018

Learning Multilingual Embeddings for Cross-Lingual Information Retrieval in the Presence of Topically Aligned Corpora

Cross-lingual information retrieval is a challenging task in the absence...
research
04/29/2021

Using Fisher's Exact Test to Evaluate Association Measures for N-grams

To determine whether some often-used lexical association measures assign...
research
04/03/2021

Multi-Unit Directional Measures of Association: Moving Beyond Pairs of Words

This paper formulates and evaluates a series of multi-unit measures of d...
research
11/09/2022

A survey of some recent developments in measures of association

This paper surveys some recent developments in measures of association r...

Please sign up or login with your details

Forgot password? Click here to reset