This volume presents a computational model of predicate composition that derives the distinct properties of "words" and "phrases" within a single component of grammar and its interface conditions, thus providing an insight into the interaction between morphology and syntax. Discover what this means for Persian and multilingual, low‑resource NLP.

The talk presents an overview of the linguistic and functional competence of Heritage and L2 speakers or Persian, based on recent research in the field, and shows that they have different characteristics. Discover what this means for Persian and multilingual, low‑resource NLP.

No abstract available. Learn what the authors found and why it matters.

List of language resources, such as corpora and analysis tools, for the languages of the AFPAK (Afghanistan-Pakistan) region. Learn what the authors found and why it matters.

Languages differ on their typology as wh-movement, wh-in situ or focus-fronting language. Discover what this means for Persian and multilingual, low‑resource NLP.

In this paper, we describe automated measures used to evaluate machine translation quality in the Defense Advanced Research Projects Agency. Learn what the authors found and why it matters.

This report provides a description of the structure of Afghan names. Learn what the authors found and why it matters.

This report provides guidelines for transcribing Dari, as part of the NIST evaluation project speech translation in real-world tactical situations (TRANSTAC). Read for methods, evaluations, and why the findings matter for scalable AI systems.

Across the government, analysts must search multiple data sources in order to create a composite view of information about a person. Read for methods, evaluations, and why the findings matter for scalable AI systems.

In their study of complex predicates in Persian, Folli, Harley and Karimi (2005) propose that the nonverbal component (NV) is the sole determiner of telicity in the complex verbal construction. Discover what this means for Persian and multilingual, low‑resource NLP.

The survey of the literature on Persian blogs presents the state of the Iranian Blogosphere (in 2008) and provides a review of the research and publications on the topic: Research on Persian blogs has mainly centered around a socio-political study of this new medium, and. Discover what this means for Persian and multilingual, low‑resource NLP.

Information retrieval systems often use stemming, i. Discover what this means for Persian and multilingual, low‑resource NLP.