Morphological Complexity

The performance of machine translation sys- tems varies greatly depending on the source and target languages involved. Determining the contribution of different characteristics of language pairs on system performance is …...

AbstractA rich literature explores unsupervised segmentation algorithms infants could use to parse their input, mainly focusing on English, an analytic language where word, morpheme, and syllable boundaries often coincide. Synthetic …...

AbstractSince word embeddings have been the most popular input for many NLP tasks, evaluating their quality is critical. Most research efforts are focusing on English word embeddings. This paper addresses …...

AbstractCross-language differences in (universal) dependency parsing performance are mostly attributed to treebank size, average sentence length, average dependency length, morphological complexity, and domain differences. We point at a factor not …...

AbstractIn cross-lingual language models, representations for many different languages live in the same space. Here, we investigate the linguistic and non-linguistic factors affecting sentence-level alignment in cross-lingual pretrained language models …...

AbstractPrior studies in multilingual language modeling (e.g., Cotterell et al., 2018; Mielke et al., 2019) disagree on whether or not inflectional morphology makes languages harder to model. We attempt to …...

AbstractThe aim of this study was to compare the morphological complexity in a corpus representing the language production of younger and older children across different languages. The language samples were …...