The Japanese language has rather simple morphology and semanticsoriented syntax. It is also heavily context dependent in the sense that many constituents can be omitted. Thus we need to formalize Japanese grammar to take morphology, syntax, semantics and pragmatic factors into account. Based on CUProlog which is a constraint logic programming language, we have developed a grammar formalism for ...

I introduce a combination of information-theoretical and causal modeling to study the cascading of changes between the morphology and the syntax of a language on a diachronic scale. Through the analysis of a historical treebank of Icelandic language ranging from the XII to the XXI century, I show that it is changes in the inflectional morphology of the language that triggered changes in its syn...

This paper describes a heuristic for morphemeand morphology-learning based on string edit distance. Experiments with a 7,000 word corpus of Swahili, a language with a rich morphology, support the effectiveness of this approach.

The baseline phrase-based translation approach has limited success on translating between languages with very different syntax and morphology, especially when the translation direction is from a language with fixed word structure to a highly inflected language. There are two main points to improve on: morphological translation equivalence and long range reordering. Translating the correct surfa...

In this paper, we address the task of languageindependent, knowledge-lean and unsupervised compound splitting, which is an essential component for many natural language processing tasks such as machine translation. Previous methods on statistical compound splitting either include language-specific knowledge (e.g., linking elements) or rely on parallel data, which results in limited applicabilit...

This paper describes a heuristic for morphemeand morphology-learning based on string edit distance. Experiments with a 7,000 word corpus of Swahili, a language with a rich morphology, support the effectiveness of this approach.

In this paper, we propose a set of language resources for building Turkish language processing applications. Specifically, we present a finite-state implementation of a morphological parser, an averaged perceptron-based morphological disambiguator, and compilation of a web corpus. Turkish is an agglutinative language with a highly productive inflectional and derivational morphology. We present ...

Urdu is a challenging language because of, first, its Perso-Arabic script and second, its morphological system having inherent grammatical forms and vocabulary of Arabic, Persian and the native languages of South Asia. This paper describes an implementation of the Urdu language as a software API, and we deal with orthography, morphology and the extraction of the lexicon. The morphology is imple...

One of the major challenges in acquiring a language is being able to use morphology as an adult would, and thus, a considerable amount of acquisition research has focused on morphological production and comprehension. Most of this research, however, has focused on the acquisition of morphology in isolating languages, or languages (such as English) with limited inflectional morphology. The natur...

Morphology and syntax interact considerably in many languages and language processing should pay attention to these interdependencies. We analyze the effect of syntactic features when used in automatic morphology prediction on four typologically different languages. We show that predicting morphology for languages with highly ambiguous word forms profits from taking the syntactic context of wor...