2 citations · 2 across the 5 of their papers we have counts for
7 papers
Syntactic Nuclei in Dependency Parsing -- A Multilingual Exploration
Ali Basirat, Joakim Nivre
Standard models for syntactic dependency parsing take words to be the elementary units that enter into dependency relations. In this paper, we investigate whether there are any ben…
Cross-lingual Word Embeddings beyond Zero-shot Machine Translation
Shifei Chen, Ali Basirat
We explore the transferability of a multilingual neural machine translation model to unseen languages when the transfer is grounded solely on the cross-lingual word embeddings. Our…
An exploration of the encoding of grammatical gender in word embeddings
Hartger Veeman, Ali Basirat
The vector representation of words, known as word embeddings, has opened a new research approach in linguistic studies. These representations can capture different types of informa…
Word embedding and neural network on grammatical gender -- A case study of Swedish
Marc Allassonnière-Tang, Ali Basirat
We analyze the information provided by the word embeddings about the grammatical gender in Swedish. We wish that this paper may serve as one of the bridges to connect the methods o…
Greedy Transition-Based Dependency Parsing with Discrete and Continuous Supertag Features
Ali Basirat, Joakim Nivre
We study the effect of rich supertag features in greedy transition-based dependency parsing. While previous studies have shown that sparse boolean features representing the 1-best…
Principal Word Vectors
Ali Basirat, Christian Hardmeier, Joakim Nivre
We generalize principal component analysis for embedding words into a vector space. The generalization is made in two major levels. The first is to generalize the concept of the co…