Testing Cross-Database Semantic Parsers With Canonical Utterances

The benchmark performance of cross-database semantic parsing has climbed steadily in recent years, catalyzed by the wide adoption of pre-trained language models. Yet existing work have shown that state-of-the-art cross-database semantic parsers struggle to generalize to novel user utterances, databases and query structures. To obtain transparent details on the strengths and limitation of these models, we propose a diagnostic testing approach based on controlled synthesis of canonical natural language and SQL pairs. Inspired by the CheckList, we characterize a set of essential capabilities for cross-database semantic parsing models, and detailed the method for synthesizing the corresponding test data. We evaluated a variety of high performing models using the proposed approach, and identified several non-obvious weaknesses across models (e.g. unable to correctly select many columns). Our dataset and code are released as a test suite at http://github.com/hclent/BehaviorCheckingSemPar.

Analysis Study of Formant Frequencies Changes According to the Speaker's Vocal Tract Shape

In this research, some of audio signal properties have been studied according to the speaker's vocal tract shape. A database of audio files has been recorded. These files belong to 57 men whose age between 35 and 45. All speakers came from the same academic and social culture. Furthermore, they don't suffer from any problems in hearings and utterance. The vowel database was created in perfect recording conditions. The spent time needed for recording process was about five minutes for each speaker who said the Arabic word " سألتمُونِيهَا " three times. That word is very rich of vowel letters. It composes of the whole Arabic long vowel. Based on the analysis study of the recorded audio signals, the relationship between the formant frequencies and the length of speaker's vocal tract has been studied. The results show an inverse proportion for the first three frequencies F1, f2, F3 and no clear relationship for the two other frequencies F4, F5.

Smoker Distinction Based on Analysis of Created Vowel Triangles

In this research, a new comparison criterion was proposed to study properties of the audio signal for each of the varieties of smokers and non-smoking persons. For this purpose, a database for smokers has been created. The smoker database contains 12 Syrian native speakers, six of them were smokers and the others were non-smokers. The smokers had been smoking for more than 10 years. All speakers were men and their ages ranging between 35 and 42 years old. They live in rural towns and speak the same dialect. Syrian vowels can be classified into long vowels and short ones. The long vowels are /AA/, /UU/, /II/ pronounced as ([ ي, و, ا ]) and the short vowels are /A/, /U/, /I/ pronounced as ([ كسرة, ضمة, فتحة ]). In this study, the Speakers have to pronounce the following sentence /I love Syria/ pronounced as ([ أَنَاْ أَحَبُّ سُوْرِيْة ]), and it was spoken during three hours. This sentence is rich with vowels. For each speaker, a long vowel triangle in ten planes and a short vowel triangle in ten planes as well were generated and analyzed. A new criterion was suggested to determine the most suitable vowel triangle for smoker distinction. This criterion depends on calculating the different distances among all centers of vowel triangles in each plane and determining the minimal distance called d. For each plane, the most suitable vowel triangle had been set as AIU35 short vowel triangle and AAIIUU45 long vowel triangle.

Developing A Comprehensive Accident Report Template For Syria And Evaluating The Limitation In The Currently

The primary objective of this research is to assess the state of the road accidents’ data currently collected by using traditional text reports in the Syrian Arab Republic. The followed approach consisted of two main steps: (1) Developing a comprehensive road accident report template which contains all data items that should collected from a road accident . (2) Digitizing data from randomly selected traditional road accident text reports into a computer database developed based on the accident report template established in step 1.

Generation and Analysis of Vowel Polygons for Syrian Dialects Using a Created Speech Database

Speech databases form the main foundation in the construction of automatic utterance, speaker recognition and speech recognition systems in different languages and dialects. The elements of the speech database are audio files recorded for people's voices in the required language or dialect. The more the speech database is enriched with comprehensive elements the more it contributes to produce systems that communicate with the excellent performed machine. According to the lack of speech databases for the Syrian dialects, the research did one. The created database contained sixteen voluntaries from different Syrian dialects. Voluntaries' voices were recorded in different recording conditions that is for studying the effect of variety of dialects, gender and the conditions of recording on the vowel polygons. This research invested the created speech database in the field of generating and analyzing of vowel polygons, as the vowel polygon is a geometric polygon where its vertices represent the values of formant frequencies, and the area of the polygon represents the output acoustic space.

Ecogeographical distribution of wild olive (Olea sylvestris mill) in the province of Hama

This research was conducted during the 2009-2010 seasons in order to inventory and locate the spread of wild olive in 17 locations in the province of Hama. GIS and digital maps were used to characterize the sites of wild live distribution geo- graphically, topography and the dominant vegetation. Results showed highly environmental flexibility of Olive wild toward the sea level rise. It was observed prevalence at high 185 m of sea level in Naora Shatha and grading up to 994 m in the western side of Abu Qubeis protected area and more prevalence at the wet and top wet bioatmosphere. Chemical and physical analyses for soils of locations showed dominancy of the mud structure in most locations which reach in some of them to 74% and this help in retaining soil moisture. The vegetation prevalent in locations showed spreading of Oak trees in addition to morphological varieties of wild Olives the sites studied with different forms of degradation in most or all locations.