This paper describes the LIGM-Alpage system for the SPMRL 2013 Shared Task. We only participated to the French part of the dependency parsing track, focusing on the realistic setting where the system is informed neither with gold tagging and morphology nor (more importantly) with gold grouping of tokens into multi-word expressions (MWEs). While the realistic scenario of predicting both MWEs and...

In this paper we investigate the automatic acquisition of Arabic Multiword Expressions (MWE). We propose three complementary approaches to extract MWEs from available data resources. The first approach relies on the correspondence asymmetries between Arabic Wikipedia titles and titles in 21 different languages. The second approach collects English MWEs from Princeton WordNet 3.0, translates the...

Making use of latent semantic analysis, we explore the hypothesis that local linguistic context can serve to identify multi-word expressions that have noncompositional meanings. We propose that vector-similarity between distribution vectors associated with an MWE as a whole and those associated with its constitutent parts can serve as a good measure of the degree to which the MWE is composition...

For natural translations, a human being does not express predicates that are inferable from the context in a target language. This paper proposes a method of machine translation which handles these predicates. First, to investigate how to translate them, we build a corpus in which predicate correspondences are annotated manually. Then, we observe the corpus, and find alignment patterns includin...

This paper describes a music remixing interface, called Instrument Equalizer, that allows users to control the volume of each instrument part within existing audio recordings in real time. Although query-by-example retrieval systems need a user to prepare favorite examples (songs) in general, our interface gives a user to generate examples from existing ones by cutting or boosting some instrume...

This paper describes Probabilistic Bias Evaluation (PBE), a method for evaluating learning biases formally analyzing the tradeoff between the expected accuracy and complexity of alternative biases. Intelligent agents must filter out irrelevant aspects of the environment, in order to minimize the costs of learning. In PBE, probabilistic background knowledge about relevance is used to compute exp...

We conduct a pilot study for task-oriented evaluation of Multiword Expression (MWE) in Statistical Machine Translation (SMT). We propose two different integration strategies for MWE in SMT, which take advantage of different degrees of MWE semantic compositionality and yield complementary improvements in SMT quality on a large-scale translation task.1

This paper describes a machine translation architecture that integrates the use el' examples for flexible, idiomatic translations with the use o1' linguistic rules for broad coverage and grammatical acctu'acy. We have implemented a prototype for English-to-Japanese translation, and our ewfluation shows lhat tile system has good translation quality, and only requires reasonable computational res...

We present a domain-independent clusteringbased approach for automatic extraction of multiword expressions (MWEs). The method combines statistical information from a general-purpose corpus and texts from Wikipedia articles. We incorporate association measures via dimensions of data points to cluster MWEs and then compute the ranking score for each MWE based on the closest exemplar assigned to a...

The focus of this work is statistical idiosyncrasy (or collocational weight) as a discriminant property of multiword expressions. We formalize and model this property, compile a 2-class dataset of MWE and non-MWE examples, and evaluate our models on this dataset. We present a possible empirical implementation of collocational weight and study its effects on identification and extraction of MWEs...