This paper is a partial report of an on-going Kakenhi project which aims to improve sub-sentential alignment and release multilingual syntactic patterns for statistical and example-based machine translation. Here we focus on improving a sub-sentential aligner which is an instance of the association approach. Phrase table is not only an essential component in the machine translation systems but ...

An implementation of a non-structural Example-Based Machine Translation system that translates sentences from Arabic to English, using a parallel corpus aligned at the paragraph level, is described. Each new input sentence is fragmented into phrases and those phrases are matched to example patterns, using various levels of morphological data. The system has been implemented and automatically ev...

The goal of this work is to introduce CHILDES-MWE, which contains English CHILDES corpora automatically annotated with Multiword Expressions (MWEs) information. The result is a resource with almost 350,000 sentences annotated with more than 70,000 distinct MWEs of various types from both longitudinal and latitudinal corpora. This resource can be used for large scale language acquisition studies...

This short paper aims at presenting a method for automatically extracting and evaluating MWE in the Europarl corpus. For this purpose we make use of mwetoolkit and utilize its output to find rules for the automatic evaluation of MWE. We then developed an XML parser to evaluate MWE candidates against those rules and also against online dictionaries. A sample of the results was manually evaluated...

We propose a method to search for illustrative sentences for English multiword expressions (MWEs) from a research paper database. We focus on syntactically flexible expressions such as “regard – as.” Traditionally, illustrative sentences that contain such expressions have been searched for by limiting the maximum number of words between the component words of the MWE. However, this method could...

This paper describes an algorithm to measure the similarity of two multimedia objects, such as songs or movies, using users’ preferences. Much of the previous work on query-by-example (QBE) or music similarity uses detailed analysis of the object’s content. This is difficult and it is often impossible to capture how consumers react to the music. We argue that a large collection of user’s prefer...

Most of the research on the extraction of idiomatic multiword expressions (MWEs) focused on the acquisition of MWE types. In the present work we investigate whether a text instance of a potentially idiomatic MWE is actually used idiomatically in a given context or not. Inspired by the dataset provided by (Cook et al., 2008), we manually analysed 9,700 instances of potentially idiomatic preposit...

This paper describes the experiments we did for the WAT 2016 (Nakazawa et al., 2016a) shared translation task. We used two different machine translation (MT) approaches. On one hand, we used an incremental improvement to an example-based MT (EBMT) system: the KyotoEBMT system we used for WAT 2015. On the other hand, we implemented a neural MT (NMT) system that makes use of the recent results ob...

We propose a simple unsupervised approach to detecting non-compositional components in multiword expressions based on Wiktionary. The approach makes use of the definitions, synonyms and translations in Wiktionary, and is applicable to any type of MWE in any language, assuming the MWE is contained in Wiktionary. Our experiments show that the proposed approach achieves higher F-score than state-o...

This work looks at a temporal aspect of multiword expressions (MWEs), namely that the behaviour of a given n-gram and its status as a MWE change over time. We propose a model in which context words have particular probabilities given a usage choice for an n-gram, and those usage choices have time dependent probabilities, and we put forward an expectationmaximisation technique for estimating the...