The demographic composition of the United States (US) has transformed since early 1990s with immigrant arrivals from Mexico and Central America. Education leaders frequently exit preparation programs without content focused on opportunities around working successfully multilingual students. This qualitative case study explores implementation online learning modules engaging students their famil...

Well-attested cross-linguistically the phenomenon appears to be constrained – not every possible intermixing of a pair of languages is allowed within a sentence. However, a certain amount of variation in CS patterns has already been documented cross-linguistically. A satisfactory account of CS thus raises (at least) the following theoretical questions: First, can an account be provided in terms...

We propose a system that bridges the gap between the two major approaches toward natural language processing: robust shallow text processing and domain-specific (often linguistically-based) deep understanding. We propose to use an existing linguistically motivated deep understanding system as the core and to leverage statistical techniques and external resources such as world knowledge to broad...

Legal document abstraction is a common business task that involves identifying key points in contracts used for various financial and legal purposes. The abstraction process is a laborious task performed by trained legal professionals that is particularly well suited for automation via Machine Learning. The abstraction workflow involves linguistic annotation (bookmarking or highlighting of rele...

This paper presents an improved formally syntax-based SMT model, which is enriched by linguistically syntactic knowledge obtained from statistical constituent parsers. We propose a linguistically-motivated prior derivation model to score hypothesis derivations on top of the baseline model during the translation decoding. Moreover, we devise a fast training algorithm to achieve such improved mod...

We report on experiments in which we merged the results of linguistically informed and linguistically ignorant approaches to retrieval for European languages. We found that even high-quality base runs can be improved by means of fairly simple techniques for merging them with other runs, although the improvements no longer seem to be as dramatic as those reported on previous experiments on small...

This paper describes a linguistically based object modeling technique for modeling Information and Communication Systems. This technique is a combination of a linguistically based, formal conceptual modeling language and a high-level graphical analysis and design method. The process of modeling Information and Communication Systems is interactively supported by a Lexicon, which delivers correct...

This paper describes the new linguistic approaches of the MetaMorphoTM system, a linguistically enriched translation memory. Our aim was to develop an improved TM system that uses linguistic analysis in both source and destination languages to yield more exact matches to the source sentence. The MetaMorphoTM stores and retrieve subsentential segments and uses a linguistically based measure to d...

Human knowledge is commonly expressed linguistically, i.e., truth of vague sentences is given in linguistic terms, and many hedges are often used simultaneously to state different levels of emphasis. In this paper, we propose an axiomatization of mathematical fuzzy logic with many hedges where each hedge does not have any dual one. Then, we present linguistic logics built based on the proposed ...